{ "scenario_warning": "ILLUSTRATIVE INPUTS - NOT MEASUREMENTS", "overlay": [ { "location_id": "LOC01", "company": "Google", "location": "Henderson, Nevada", "value": "239.4", "unit": "million gallons (as reported)", "period": "2025", "water_metric": "consumption", "source_id": "GOOGLE26", "locator": "PDF p.97 Water use by data center location, Henderson NV", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed.", "stress_region": "Nevada", "stress_score": "3.569639288", "stress_label": "High (40-80%)", "stress_period": "1979-2019 baseline; Aqueduct 4.0 release 2023", "stress_source_id": "WRIADMIN", "stress_locator": "province_baseline row 6456; name_1=Nevada, indicator_name=bws, weight=Tot", "match_scale": "STATE_PROXY_NOT_FACILITY_OR_BASIN", "match_confidence": "Medium", "match_caveat": "Named state/region matched to WRI demand-weighted administrative context. Not site stress, actual supply-source risk, or 2025 conditions." }, { "location_id": "LOC03", "company": "Google", "location": "Mesa, Arizona", "value": "9.7", "unit": "million gallons (as reported)", "period": "2025", "water_metric": "consumption", "source_id": "GOOGLE26", "locator": "PDF p.97 Water use by data center location, Mesa AZ", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed.", "stress_region": "Arizona", "stress_score": "4.392122413", "stress_label": "Extremely High (>80%)", "stress_period": "1979-2019 baseline; Aqueduct 4.0 release 2023", "stress_source_id": "WRIADMIN", "stress_locator": "province_baseline row 2284; name_1=Arizona, indicator_name=bws, weight=Tot", "match_scale": "STATE_PROXY_NOT_FACILITY_OR_BASIN", "match_confidence": "Medium", "match_caveat": "Named state/region matched to WRI demand-weighted administrative context. Not site stress, actual supply-source risk, or 2025 conditions." }, { "location_id": "LOC04", "company": "Microsoft", "location": "Phoenix, Arizona", "value": "981", "unit": "ML", "period": "FY2025 ended 2025-06-30", "water_metric": "withdrawal", "source_id": "MS26DATA", "locator": "PDF p.25 Table 15 Phoenix AZ; exclusions p.26", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed.", "stress_region": "Arizona", "stress_score": "4.392122413", "stress_label": "Extremely High (>80%)", "stress_period": "1979-2019 baseline; Aqueduct 4.0 release 2023", "stress_source_id": "WRIADMIN", "stress_locator": "province_baseline row 2284; name_1=Arizona, indicator_name=bws, weight=Tot", "match_scale": "STATE_PROXY_NOT_FACILITY_OR_BASIN", "match_confidence": "Medium", "match_caveat": "Named state/region matched to WRI demand-weighted administrative context. Not site stress, actual supply-source risk, or 2025 conditions." }, { "location_id": "LOC06", "company": "Meta", "location": "Los Lunas, New Mexico", "value": "252", "unit": "ML", "period": "2024", "water_metric": "withdrawal", "source_id": "META25", "locator": "PDF p.9 Water withdrawal by facility, Los Lunas NM", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed.", "stress_region": "New Mexico", "stress_score": "4.324930145", "stress_label": "Extremely High (>80%)", "stress_period": "1979-2019 baseline; Aqueduct 4.0 release 2023", "stress_source_id": "WRIADMIN", "stress_locator": "province_baseline row 2437; name_1=New Mexico, indicator_name=bws, weight=Tot", "match_scale": "STATE_PROXY_NOT_FACILITY_OR_BASIN", "match_confidence": "Medium", "match_caveat": "Named state/region matched to WRI demand-weighted administrative context. Not site stress, actual supply-source risk, or 2025 conditions." }, { "location_id": "LOC07", "company": "Meta", "location": "Mesa, Arizona", "value": "57", "unit": "ML", "period": "2024", "water_metric": "withdrawal", "source_id": "META25", "locator": "PDF p.9 Water withdrawal by facility, Mesa AZ", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed.", "stress_region": "Arizona", "stress_score": "4.392122413", "stress_label": "Extremely High (>80%)", "stress_period": "1979-2019 baseline; Aqueduct 4.0 release 2023", "stress_source_id": "WRIADMIN", "stress_locator": "province_baseline row 2284; name_1=Arizona, indicator_name=bws, weight=Tot", "match_scale": "STATE_PROXY_NOT_FACILITY_OR_BASIN", "match_confidence": "Medium", "match_caveat": "Named state/region matched to WRI demand-weighted administrative context. Not site stress, actual supply-source risk, or 2025 conditions." } ], "companies": [ { "observation_id": "CORP01", "company": "Google", "metric": "withdrawal", "value": 14689.0, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Global operations", "water_metric": "withdrawal", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "2025 value has the p.96 check mark for selected metrics subject to third-party limited assurance; no independent ThirstyAI remeasurement", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ." }, { "observation_id": "CORP02", "company": "Google", "metric": "consumption", "value": 10869.0, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Global operations", "water_metric": "consumption", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "2025 value has the p.96 check mark for selected metrics subject to third-party limited assurance; no independent ThirstyAI remeasurement", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ." }, { "observation_id": "CORP03", "company": "Google", "metric": "withdrawal", "value": 13562.0, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Operational data centers: owned and fully leased", "water_metric": "withdrawal", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "2025 value has the p.96 check mark for selected metrics subject to third-party limited assurance; no independent ThirstyAI remeasurement", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ." }, { "observation_id": "CORP04", "company": "Google", "metric": "consumption", "value": 10523.0, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Operational data centers: owned and fully leased", "water_metric": "consumption", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "2025 value has the p.96 check mark for selected metrics subject to third-party limited assurance; no independent ThirstyAI remeasurement", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ." }, { "observation_id": "CORP05", "company": "Google", "metric": "PUE", "value": 1.09, "unit": "facility kWh / IT kWh", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Data-center fleet", "water_metric": "not_applicable", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.15, fleet-wide average PUE", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP06", "company": "Google", "metric": "WUE", "value": null, "unit": "not extracted", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Latest annual report", "water_metric": "not_applicable", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "Report searched for WUE; no compatible fleet value located", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "No numeric value extracted from this annual report. Do not substitute the older Gemini serving-study WUE." }, { "observation_id": "CORP07", "company": "Microsoft", "metric": "withdrawal", "value": 13266.0, "unit": "ML", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Enterprise offices, owned/leased datacenters and labs", "water_metric": "withdrawal", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "MS26DATA", "locator": "PDF p.7, Table 8, FY25", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Management assertion and selected-metric review scope; not independently remeasured here", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP08", "company": "Microsoft", "metric": "consumption", "value": 8170.0, "unit": "ML", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Enterprise offices, owned/leased datacenters and labs", "water_metric": "consumption", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "MS26DATA", "locator": "PDF p.7, Table 8, FY25", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Management assertion and selected-metric review scope; not independently remeasured here", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP09", "company": "Microsoft", "metric": "PUE", "value": 1.17, "unit": "facility kWh / IT kWh", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Data-center global average", "water_metric": "not_applicable", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "MS26REPORT", "locator": "PDF p.23, Datacenters energy", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP10", "company": "Microsoft", "metric": "WUE", "value": 0.27, "unit": "L/kWh (publisher definition)", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Owned datacenters", "water_metric": "water_use_unspecified", "energy_denominator": "energy_use_unspecified", "evidence_type": "company_reported", "source_id": "MS26REPORT", "locator": "PDF p.24; definition endnote 12 p.64", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Inspected 2026 definition says cooling/humidification water use divided by energy, without explicitly resolving withdrawal vs consumption and IT denominator. Not accepted as consumptive WUE by the calculator." }, { "observation_id": "CORP11", "company": "Meta", "metric": "withdrawal", "value": 5637.0, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Operations excluding separately disclosed construction", "water_metric": "withdrawal", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.9, section 3.1, 2024 column", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP12", "company": "Meta", "metric": "consumption", "value": 3123.0, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Operations", "water_metric": "consumption", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.11, section 3.2, 2024 column", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP13", "company": "Meta", "metric": "withdrawal", "value": 4145.0, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "water_metric": "withdrawal", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.9, section 3.1, 2024 column", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP14", "company": "Meta", "metric": "consumption", "value": 2974.0, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "water_metric": "consumption", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.11, section 3.2, 2024 column", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP15", "company": "Meta", "metric": "PUE", "value": 1.08, "unit": "facility kWh / IT kWh", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "water_metric": "not_applicable", "energy_denominator": "not_applicable", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.8, section 2.4, 2024 column", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ." }, { "observation_id": "CORP16", "company": "Meta", "metric": "WUE", "value": null, "unit": "L / IT kWh", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "water_metric": "withdrawal", "energy_denominator": "IT_kWh", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.18, methodology PUE/WUE", "confidence": "High", "confidence_basis": "Confidence in verified extraction, not independent measurement or causal certainty", "assurance": "Selected metrics subject to limited assurance; not independently remeasured by this project", "caveat": "Definition is withdrawal-based. No fleet numeric WUE located in inspected current report/index; preserve missing value." } ], "locations": [ { "location_id": "LOC01", "company": "Google", "location": "Henderson, Nevada", "value": 239.4, "unit": "million gallons (as reported)", "period": "2025", "water_metric": "consumption", "source_id": "GOOGLE26", "locator": "PDF p.97 Water use by data center location, Henderson NV", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." }, { "location_id": "LOC02", "company": "Google", "location": "Quilicura, Chile", "value": 143.0, "unit": "million gallons (as reported)", "period": "2025", "water_metric": "consumption", "source_id": "GOOGLE26", "locator": "PDF p.97 Water use by data center location, Quilicura", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." }, { "location_id": "LOC03", "company": "Google", "location": "Mesa, Arizona", "value": 9.7, "unit": "million gallons (as reported)", "period": "2025", "water_metric": "consumption", "source_id": "GOOGLE26", "locator": "PDF p.97 Water use by data center location, Mesa AZ", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." }, { "location_id": "LOC04", "company": "Microsoft", "location": "Phoenix, Arizona", "value": 981.0, "unit": "ML", "period": "FY2025 ended 2025-06-30", "water_metric": "withdrawal", "source_id": "MS26DATA", "locator": "PDF p.25 Table 15 Phoenix AZ; exclusions p.26", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." }, { "location_id": "LOC05", "company": "Microsoft", "location": "Singapore", "value": 423.0, "unit": "ML", "period": "FY2025 ended 2025-06-30", "water_metric": "withdrawal", "source_id": "MS26DATA", "locator": "PDF p.25 Table 15 Singapore; 99% non-potable; exclusions p.26", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." }, { "location_id": "LOC06", "company": "Meta", "location": "Los Lunas, New Mexico", "value": 252.0, "unit": "ML", "period": "2024", "water_metric": "withdrawal", "source_id": "META25", "locator": "PDF p.9 Water withdrawal by facility, Los Lunas NM", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." }, { "location_id": "LOC07", "company": "Meta", "location": "Mesa, Arizona", "value": 57.0, "unit": "ML", "period": "2024", "water_metric": "withdrawal", "source_id": "META25", "locator": "PDF p.9 Water withdrawal by facility, Mesa AZ", "confidence": "High", "scope": "Published location/campus aggregate; not AI-only", "caveat": "Curated example, not exhaustive facility inventory. No coordinate or basin guessed." } ], "release": "0.2.1", "reviewed": "2026-10-22", "coverage": { "india_states_uts": 36, "facility_water_records": 7, "global_water_total": null }, "sources": [ { "id": "IEA26", "title": "Key Questions on Energy and AI (2026)", "publisher": "International Energy Agency", "url": "https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary", "locator": "Executive summary: updated data centre electricity demand outlook", "scope": "All data centres; global electricity", "licence": "CC BY 4.0 stated by publisher", "anchor": "950" }, { "id": "CGWB25", "title": "Findings of Dynamic Groundwater Resources Assessment", "publisher": "Ministry of Jal Shakti / PIB", "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2206073&lang=1®=3", "locator": "Annexure I: State-wise ground water resources of India, 2025", "scope": "India state/UT annual groundwater; all uses", "licence": "Source facts attributed; no blanket licence asserted; raw document excluded", "anchor": "156.36" }, { "id": "GOOGLE25", "title": "Measuring the environmental impact of delivering AI at Google Scale", "publisher": "Elsworth et al. / Google", "url": "https://arxiv.org/html/2508.15734v1", "locator": "Section 3.3 and Table 2; May 2025", "scope": "Median Gemini Apps text prompt; direct consumptive cooling water", "licence": "CC BY 4.0 on article", "anchor": "0.26" }, { "id": "WRI23", "title": "Aqueduct 4.0 technical note", "publisher": "World Resources Institute", "url": "https://www.wri.org/research/aqueduct-40-updated-decision-relevant-global-water-risk-indicators", "locator": "Technical note: screening limits and future periods", "scope": "Modeled water context, not local facility impact", "licence": "Creative Commons stated; dataset-specific terms need review before ingestion", "anchor": "prioritization" }, { "id": "MS24", "title": "Next-generation datacenters consume zero water for cooling", "publisher": "Microsoft", "url": "https://www.microsoft.com/en-us/microsoft-cloud/blog/2024/12/09/sustainable-by-design-next-generation-datacenters-consume-zero-water-for-cooling/", "locator": "Mitigating energy impacts; footnote FY2024 withdrawal WUE", "scope": "Company design disclosure; not fleet conversion evidence", "licence": "Publisher copyright; raw article excluded", "anchor": "withdrawal" }, { "id": "LBNL26", "title": "United States Data Center Energy Usage Report: 2025 Update", "publisher": "Lawrence Berkeley National Laboratory", "url": "https://bies.lbl.gov/publications/united-states-data-center-energy-2025", "locator": "Publication abstract; June 2026; Reference Case", "scope": "All US data centres; electricity scenarios", "licence": "Metadata/facts attributed; full report terms need review", "anchor": "649" }, { "id": "GOOGLE26", "title": "Google 2026 Environmental Report", "publisher": "Google", "url": "https://sustainability.google/files/google-2026-environmental-report.pdf", "locator": "PDF pp.96–97; water methodology pp.87–88; PUE p.15", "scope": "Company-reported environmental disclosure; not AI-only", "licence": "Publisher copyright; attributed extracted facts only; raw document excluded", "anchor": "PDF manual locator review", "human_reviewed": true }, { "id": "MS26DATA", "title": "Microsoft 2026 Environmental Data Fact Sheet", "publisher": "Microsoft", "url": "https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/msc/documents/presentations/CSR/2026-Microsoft-Environmental-Data-Fact-Sheet-PDF.pdf", "locator": "Tables 8 and 15, PDF pp.7,25-26; inventory methods pp.18-19", "scope": "Company-reported environmental disclosure; not AI-only", "licence": "Publisher copyright; attributed extracted facts only; raw document excluded", "anchor": "PDF manual locator review", "human_reviewed": true }, { "id": "MS26REPORT", "title": "Microsoft 2026 Environmental Sustainability Report", "publisher": "Microsoft", "url": "https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/msc/documents/presentations/CSR/2026-Microsoft-Environmental-Sustainability-Report-PDF.pdf", "locator": "PDF pp.23-24; WUE definition endnote 12 p.64", "scope": "Company-reported environmental disclosure; not AI-only", "licence": "Publisher copyright; attributed extracted facts only; raw document excluded", "anchor": "PDF manual locator review", "human_reviewed": true }, { "id": "META25", "title": "Meta 2025 Environmental Data Index", "publisher": "Meta", "url": "https://sustainability.atmeta.com/asset/2025-environmental-data-index/", "locator": "FY2024; PDF pp.8-11,18; facility withdrawal p.9", "scope": "Company-reported environmental disclosure; not AI-only", "licence": "Publisher copyright; attributed extracted facts only; raw document excluded", "anchor": "PDF manual locator review", "human_reviewed": true }, { "id": "META25REPORT", "title": "Meta 2025 Sustainability Report", "publisher": "Meta", "url": "https://sustainability.atmeta.com/asset/2025-sustainability-report/", "locator": "2024 reporting; current publisher reporting page", "scope": "Company-reported environmental disclosure; not AI-only", "licence": "Publisher copyright; attributed extracted facts only; raw document excluded", "anchor": "PDF manual locator review", "human_reviewed": true }, { "id": "META25ASSURANCE", "title": "Meta Independent Accountants Review linked from 2025 report", "publisher": "Meta / Ernst & Young", "url": "https://sustainability.atmeta.com/asset/2025-independent-accountants-review-report/", "locator": "Selected metrics, water withdrawal and consumption; not a whole-report audit", "scope": "Company-reported environmental disclosure; not AI-only", "licence": "Publisher copyright; attributed extracted facts only; raw document excluded", "anchor": "PDF manual locator review", "human_reviewed": true }, { "id": "WRIADMIN", "title": "Aqueduct 4.0 administrative rankings workbook", "publisher": "World Resources Institute", "url": "https://files.wri.org/aqueduct/aqueduct-4-0-country-rankings.zip", "locator": "province_baseline sheet; indicator bws; weight Tot; 1979-2019 baseline", "scope": "Demand-weighted state/province context, not facility measurement", "licence": "CC BY 4.0, confirmed in wri/Aqueduct40 README", "anchor": "", "human_reviewed": true }, { "id": "WRILICENCE", "title": "Aqueduct 4.0 public documentation and licence", "publisher": "World Resources Institute", "url": "https://raw.githubusercontent.com/wri/Aqueduct40/master/README.md", "locator": "README licence paragraph", "scope": "Dataset licence and documentation", "licence": "CC BY 4.0", "anchor": "CC BY 4.0", "human_reviewed": true }, { "id": "WRIINDIA26", "title": "More Than Half of India’s Data Centres Are in Water-Stressed Regions", "publisher": "WRI India", "url": "https://wri-india.org/data/more-half-indias-data-centres-are-water-stressed-regions", "locator": "18 May 2026, main text and linked infographic; underlying sources named", "scope": "Published India data-centre distribution analysis; not independently recreated here", "licence": "Attributed summary only; no third-party infographic copied", "anchor": "278", "human_reviewed": true }, { "id": "NREL12", "title": "Operational water consumption and withdrawal factors for electricity generating technologies", "publisher": "Macknick et al. / NREL", "url": "https://research-hub.nlr.gov/en/publications/operational-water-consumption-and-withdrawal-factors-for-electric-4/", "locator": "Abstract; DOI 10.1088/1748-9326/7/4/045802; 2012", "scope": "US electricity technologies; literature synthesis, not a current global grid factor", "licence": "Publisher copyright; links and attributed facts only; no raw document distributed", "anchor": "", "human_reviewed": true, "review_note": "Opened source and reviewed stated locator; no numeric headline extracted" }, { "id": "TSMC26", "title": "TSMC 2025 Sustainability Report now available", "publisher": "TSMC", "url": "https://esg.tsmc.com/en-US/articles/414", "locator": "20 August 2026; Water Positive commitment section", "scope": "Semiconductor manufacturing company disclosure, not AI-only allocation", "licence": "Publisher copyright; links and attributed facts only; no raw document distributed", "anchor": "", "human_reviewed": true, "review_note": "Opened source and reviewed stated locator; no numeric headline extracted" }, { "id": "TSMCWATER26", "title": "Supplier wastewater governance", "publisher": "TSMC", "url": "https://esg.tsmc.com.tw/en-US/articles/413", "locator": "7 July 2026; Identifying Risks via Three Key Indicators", "scope": "Semiconductor supply-chain wastewater management; self-reported programme", "licence": "Publisher copyright; links and attributed facts only; no raw document distributed", "anchor": "", "human_reviewed": true, "review_note": "Opened source and reviewed stated locator; no numeric headline extracted" }, { "id": "METAVWB24", "title": "2024 Volumetric Water Benefits", "publisher": "Meta / LimnoTech", "url": "https://sustainability.atmeta.com/asset/2024-volumetric-water-benefits/", "locator": "August 2025; PDF pp.5,9,17,25; risk method, Prineville, Los Lunas, Mesa", "scope": "Company-commissioned restoration and basin context, not a causal harm study", "licence": "Publisher copyright; links and attributed facts only; no raw document distributed", "anchor": "", "human_reviewed": true, "review_note": "Opened source and reviewed stated locator; no numeric headline extracted" } ], "claims": [ { "id": "C01", "title": "Data-centre electricity demand, 2025", "value": 485, "unit": "TWh/year", "period": "2025", "geography": "Global", "scope": "All data centres, not AI alone", "evidence_type": "IEA estimate", "source_id": "IEA26", "locator": "Executive summary, updated demand outlook paragraph", "caveat": "Electricity, not water; report vintage 2026.", "confidence": "High", "water_metric": "not_applicable", "energy_denominator": "not_applicable" }, { "id": "C02", "title": "Data-centre electricity demand, 2030", "value": 950, "unit": "TWh/year", "period": "2030", "geography": "Global", "scope": "All data centres, not AI alone", "evidence_type": "IEA projection", "source_id": "IEA26", "locator": "Executive summary, updated demand outlook paragraph", "caveat": "Conditional central projection; not a measured future outcome.", "confidence": "Medium", "water_metric": "not_applicable", "energy_denominator": "not_applicable" }, { "id": "C03", "title": "India groundwater stage of extraction", "value": 60.63, "unit": "%", "period": "2025", "geography": "India", "scope": "Annual extraction divided by annual extractable groundwater; all uses", "evidence_type": "Government reported", "source_id": "CGWB25", "locator": "Main text and Annexure I, Grand Total", "caveat": "Not the percentage of stored groundwater depleted. Does not attribute extraction to AI.", "confidence": "High", "water_metric": "not_applicable", "energy_denominator": "not_applicable" }, { "id": "C04", "title": "Median Gemini Apps text-prompt serving energy", "value": 0.24, "unit": "Wh/prompt", "period": "May 2025", "geography": "Google serving fleet", "scope": "Company-authored serving methodology, including facility overhead", "evidence_type": "Production study", "source_id": "GOOGLE25", "locator": "Table 2, comprehensive approach", "caveat": "Not every prompt or model; do not apply PUE again to facility-energy metric.", "confidence": "High", "water_metric": "not_applicable", "energy_denominator": "facility_energy" }, { "id": "C05", "title": "Median Gemini Apps text-prompt cooling water", "value": 0.26, "unit": "mL/prompt", "period": "May 2025", "geography": "Google serving fleet", "scope": "Allocated direct consumptive cooling water; previous-year WUE", "evidence_type": "Company-modeled allocation", "source_id": "GOOGLE25", "locator": "Section 3.3 and Table 2", "caveat": "Not electricity-related or full lifecycle water. Cannot be generalized to all AI tasks.", "confidence": "Medium", "water_metric": "consumption", "energy_denominator": "not_applicable" }, { "id": "C06", "title": "US data-centre electricity reference case", "value": 649, "unit": "TWh/year", "period": "2030", "geography": "United States", "scope": "All US data centres; 2025 Update published June 2026", "evidence_type": "LBNL projection", "source_id": "LBNL26", "locator": "Official publication abstract, Reference Case", "caveat": "Different model from IEA; not a water total. Do not combine projections as observations.", "confidence": "Medium", "water_metric": "not_applicable", "energy_denominator": "not_applicable" }, { "id": "CORP01", "title": "Google withdrawal", "value": 14689, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Global operations", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ.", "confidence": "High", "water_metric": "withdrawal", "energy_denominator": "not_applicable" }, { "id": "CORP02", "title": "Google consumption", "value": 10869, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Global operations", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ.", "confidence": "High", "water_metric": "consumption", "energy_denominator": "not_applicable" }, { "id": "CORP03", "title": "Google withdrawal", "value": 13562, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Operational data centers: owned and fully leased", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ.", "confidence": "High", "water_metric": "withdrawal", "energy_denominator": "not_applicable" }, { "id": "CORP04", "title": "Google consumption", "value": 10523, "unit": "million gallons (as reported)", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Operational data centers: owned and fully leased", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.96 Water use by data centers and offices, 2025; water methodology pp.87–88", "caveat": "Not AI-only. Reported water excludes seawater and brackish water. Consumption = withdrawal minus discharge; some values may be estimated. Years and fleets differ.", "confidence": "High", "water_metric": "consumption", "energy_denominator": "not_applicable" }, { "id": "CORP05", "title": "Google PUE", "value": 1.09, "unit": "facility kWh / IT kWh", "period": "2025-01-01/2025-12-31", "geography": "Global", "scope": "Data-center fleet", "evidence_type": "company_reported", "source_id": "GOOGLE26", "locator": "PDF p.15, fleet-wide average PUE", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "not_applicable", "energy_denominator": "not_applicable" }, { "id": "CORP07", "title": "Microsoft withdrawal", "value": 13266, "unit": "ML", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Enterprise offices, owned/leased datacenters and labs", "evidence_type": "company_reported", "source_id": "MS26DATA", "locator": "PDF p.7, Table 8, FY25", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "withdrawal", "energy_denominator": "not_applicable" }, { "id": "CORP08", "title": "Microsoft consumption", "value": 8170, "unit": "ML", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Enterprise offices, owned/leased datacenters and labs", "evidence_type": "company_reported", "source_id": "MS26DATA", "locator": "PDF p.7, Table 8, FY25", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "consumption", "energy_denominator": "not_applicable" }, { "id": "CORP09", "title": "Microsoft PUE", "value": 1.17, "unit": "facility kWh / IT kWh", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Data-center global average", "evidence_type": "company_reported", "source_id": "MS26REPORT", "locator": "PDF p.23, Datacenters energy", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "not_applicable", "energy_denominator": "not_applicable" }, { "id": "CORP10", "title": "Microsoft WUE", "value": 0.27, "unit": "L/kWh (publisher definition)", "period": "FY2025 ended 2025-06-30", "geography": "Global", "scope": "Owned datacenters", "evidence_type": "company_reported", "source_id": "MS26REPORT", "locator": "PDF p.24; definition endnote 12 p.64", "caveat": "Inspected 2026 definition says cooling/humidification water use divided by energy, without explicitly resolving withdrawal vs consumption and IT denominator. Not accepted as consumptive WUE by the calculator.", "confidence": "High", "water_metric": "water_use_unspecified", "energy_denominator": "energy_use_unspecified" }, { "id": "CORP11", "title": "Meta withdrawal", "value": 5637, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Operations excluding separately disclosed construction", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.9, section 3.1, 2024 column", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "withdrawal", "energy_denominator": "not_applicable" }, { "id": "CORP12", "title": "Meta consumption", "value": 3123, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Operations", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.11, section 3.2, 2024 column", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "consumption", "energy_denominator": "not_applicable" }, { "id": "CORP13", "title": "Meta withdrawal", "value": 4145, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.9, section 3.1, 2024 column", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "withdrawal", "energy_denominator": "not_applicable" }, { "id": "CORP14", "title": "Meta consumption", "value": 2974, "unit": "ML", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.11, section 3.2, 2024 column", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "consumption", "energy_denominator": "not_applicable" }, { "id": "CORP15", "title": "Meta PUE", "value": 1.08, "unit": "facility kWh / IT kWh", "period": "2024-01-01/2024-12-31", "geography": "Global", "scope": "Data centers", "evidence_type": "company_reported", "source_id": "META25", "locator": "PDF p.8, section 2.4, 2024 column", "caveat": "Not AI-only; reporting periods, fleets and water definitions differ.", "confidence": "High", "water_metric": "not_applicable", "energy_denominator": "not_applicable" } ], "india": [ { "state": "Andhra Pradesh", "recharge_bcm": 26.34, "extractable_bcm": 25.02, "extraction_bcm": 7.88, "stage_pct": 31.51, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 1" }, { "state": "Arunachal Pradesh", "recharge_bcm": 3.69, "extractable_bcm": 3.29, "extraction_bcm": 0.01, "stage_pct": 0.41, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 2" }, { "state": "Assam", "recharge_bcm": 26.36, "extractable_bcm": 20.29, "extraction_bcm": 2.93, "stage_pct": 14.45, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 3" }, { "state": "Bihar", "recharge_bcm": 34.51, "extractable_bcm": 31.32, "extraction_bcm": 14.47, "stage_pct": 46.2, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 4" }, { "state": "Chhattisgarh", "recharge_bcm": 14.3, "extractable_bcm": 13.07, "extraction_bcm": 6.3, "stage_pct": 48.18, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 5" }, { "state": "Goa", "recharge_bcm": 0.38, "extractable_bcm": 0.31, "extraction_bcm": 0.07, "stage_pct": 23.3, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 6" }, { "state": "Gujarat", "recharge_bcm": 27.58, "extractable_bcm": 25.61, "extraction_bcm": 14.33, "stage_pct": 55.95, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 7" }, { "state": "Haryana", "recharge_bcm": 10.27, "extractable_bcm": 9.3, "extraction_bcm": 12.72, "stage_pct": 136.75, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 8" }, { "state": "Himachal Pradesh", "recharge_bcm": 1.12, "extractable_bcm": 1.01, "extraction_bcm": 0.39, "stage_pct": 38.5, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 9" }, { "state": "Jharkhand", "recharge_bcm": 6.15, "extractable_bcm": 5.63, "extraction_bcm": 1.85, "stage_pct": 32.89, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 10" }, { "state": "Karnataka", "recharge_bcm": 19.27, "extractable_bcm": 17.41, "extraction_bcm": 11.58, "stage_pct": 66.49, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 11" }, { "state": "Kerala", "recharge_bcm": 5.45, "extractable_bcm": 4.93, "extraction_bcm": 2.46, "stage_pct": 49.95, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 12" }, { "state": "Madhya Pradesh", "recharge_bcm": 36.07, "extractable_bcm": 34.15, "extraction_bcm": 20.26, "stage_pct": 59.32, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 13" }, { "state": "Maharashtra", "recharge_bcm": 33.89, "extractable_bcm": 31.99, "extraction_bcm": 16.57, "stage_pct": 51.79, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 14" }, { "state": "Manipur", "recharge_bcm": 0.44, "extractable_bcm": 0.4, "extraction_bcm": 0.04, "stage_pct": 9.09, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 15" }, { "state": "Meghalaya", "recharge_bcm": 1.84, "extractable_bcm": 1.54, "extraction_bcm": 0.08, "stage_pct": 5.24, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 16" }, { "state": "Mizoram", "recharge_bcm": 0.21, "extractable_bcm": 0.19, "extraction_bcm": 0.01, "stage_pct": 4.03, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 17" }, { "state": "Nagaland", "recharge_bcm": 0.55, "extractable_bcm": 0.5, "extraction_bcm": 0.02, "stage_pct": 4.72, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 18" }, { "state": "Odisha", "recharge_bcm": 17.44, "extractable_bcm": 16.02, "extraction_bcm": 7.81, "stage_pct": 48.75, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 19" }, { "state": "Punjab", "recharge_bcm": 18.6, "extractable_bcm": 16.8, "extraction_bcm": 26.27, "stage_pct": 156.36, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 20" }, { "state": "Rajasthan", "recharge_bcm": 12.87, "extractable_bcm": 11.62, "extraction_bcm": 17.1, "stage_pct": 147.11, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 21" }, { "state": "Sikkim", "recharge_bcm": 0.24, "extractable_bcm": 0.22, "extraction_bcm": 0.01, "stage_pct": 5.87, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 22" }, { "state": "Tamil Nadu", "recharge_bcm": 22.61, "extractable_bcm": 20.46, "extraction_bcm": 15.04, "stage_pct": 73.5, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 23" }, { "state": "Telangana", "recharge_bcm": 21.93, "extractable_bcm": 19.84, "extraction_bcm": 9.26, "stage_pct": 46.69, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 24" }, { "state": "Tripura", "recharge_bcm": 1.53, "extractable_bcm": 1.24, "extraction_bcm": 0.12, "stage_pct": 10.06, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 25" }, { "state": "Uttar Pradesh", "recharge_bcm": 73.39, "extractable_bcm": 66.97, "extraction_bcm": 46.89, "stage_pct": 70.0, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 26" }, { "state": "Uttarakhand", "recharge_bcm": 2.13, "extractable_bcm": 1.95, "extraction_bcm": 1.05, "stage_pct": 53.92, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 27" }, { "state": "West Bengal", "recharge_bcm": 25.85, "extractable_bcm": 23.5, "extraction_bcm": 10.62, "stage_pct": 45.19, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 28" }, { "state": "Andaman And Nicobar", "recharge_bcm": 0.38, "extractable_bcm": 0.35, "extraction_bcm": 0.01, "stage_pct": 2.27, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 29" }, { "state": "Chandigarh", "recharge_bcm": 0.05, "extractable_bcm": 0.05, "extraction_bcm": 0.03, "stage_pct": 67.0, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 30" }, { "state": "Dadra and Nagar Haveli and Daman and Diu", "recharge_bcm": 0.13, "extractable_bcm": 0.12, "extraction_bcm": 0.05, "stage_pct": 40.45, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 31" }, { "state": "Delhi", "recharge_bcm": 0.38, "extractable_bcm": 0.35, "extraction_bcm": 0.32, "stage_pct": 92.1, "year": 2025, "source_id": "CGWB25", "evidence_type": "government_reported", "scope": "state_or_UT_all_uses", "locator": "Annexure I row 32" }, { "state": "Jammu And Kashmir", "recharge_bcm": 2.3, "extractable_bcm": 2.07, "extraction_bcm": 0.51, "stage_pct": 24.73, "year": 2025, "source_id": "CGWB25", "evidence_type": 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