Due Date: Week 11, Friday 5:00 pm CRICOS Provider No. 00103D ITECH 7406 Page 1 ITECH7406- Business Intelligence and Data Warehousing Data Analysis Individual Assignment – 2019 Sem3 Worth – 20% (Week...

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Due Date: Week 11, Friday 5:00 pm CRICOS Provider No. 00103D ITECH 7406 Page 1 ITECH7406- Business Intelligence and Data Warehousing Data Analysis Individual Assignment – 2019 Sem3 Worth – 20% (Week 11- Sun, June 2, 2019 - 17:00) Learning Outcomes Assessed: S1,S2,S3,K3, K4, A1,A2 Purpose: To encourage and provide students on-hands experiences of using SAP or Watson Analytics tools to explore, extract and analyse enterprise data This is a business analytics project aimed at generating innovative analytics solutions. It will allow students to show innovation and creativity in applying SAP Business Object/Predictive Analytics or Watson Analytics in designing useful visualization solutions and predictive models for different types of analytics problems. The topic will be on environmental issues. Your main task is to apply any of the analytical tools to develop innovative analytics visualization solutions and predictive models with regards to environment, e.g. climate change, energy consumption, carbon footprint, greenhouse gas emission, pollution dashboard, etc. Besides the suggested datasets/sources, you may apply any other real-world dataset to illustrate your approach (the different datasets can be combined too). Please find the attached sample reports Some possible datasets/sources: http://data.un.org/Explorer.aspx http://data.worldbank.org/topic/environment https://data.oecd.org/ http://geodata.grid.unep.ch/ http://open-data.europa.eu/en/data/publisher/eea https://www.data.gov/ http://data.un.org/Explorer.aspx http://data.worldbank.org/topic/environment https://data.oecd.org/ http://geodata.grid.unep.ch/ http://open-data.europa.eu/en/data/publisher/eea https://www.data.gov/ CRICOS Provider No. 00103D ITECH 7406 Page 2 Report Submission Submit your report as either a word or PDF document via Moodle on Sunday, June 2, 2019 - 17:00 (Week 11). You will submit a 9-10 pages report (about 3000 words not counting cover page and references) of this project. At least 15 references in your report must be from peer- reviewed sources. Include any and all sources of information including any person(s) you interviewed for this project. Please note that all references must adhere to APA style. See http://owl.english.purdue.edu/owl/resource/560/01 and http://www.apastyle.org/ for details on how to format a report and how to cite references. Make sure your follow formal report structure with cover page, introduction, use of headings, subheadings, conclusion sand reference section. You are reminded to read the “Plagiarism” section of the course description. Your essay should be a synthesis of ideas from a variety of sources expressed in your own words. All reports must use the APA referencing style. University Referencing/Citation Style Guide: The University has published a style guide to help students correctly reference and cite information they use in assignments (American Psychological Association (APA) citation style, http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/print/ch06s04.shtml or Australian citation style Reports are to be presented in hard copy in size 12 Arial Font and double spaced. Your report should include a list of references used in the essay and a bibliography of the wider reading you have done to familiarize yourself on the topic. A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully. http://owl.english.purdue.edu/owl/resource/560/01 http://www.apastyle.org/ http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/print/ch06s04.shtml CRICOS Provider No. 00103D ITECH 7406 Page 3 ITECH7406- Business Intelligence and Data Warehousing Data Analysis Individual Assignment – 2018 Sem3 Tasks Max Marks Marks Awarded Comments What are the BI reporting solution/dashboards you will need to develop for the Senior Executives of chosen data Set– You must have at least two types of analytics i.e Predictive/prescriptive/ descriptive 10 Design Mobile application using QSR code for your insights /solutions/dashboard – Please provide your QSR code in your assignment 10 Justify why these BI reporting solution/dashboards are chosen and why those attributes are present and laid out in the fashion you proposed (feel free to include all other relevant justifications using the academic articles). Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool’), and also include any assumptions that you may have made about the analysis in yourassignment report (i.e. the report to the senior executive team of the company). 10 Furthermore, the CEO would like to improve the operations. Based on your BI analysis and the insights gained from “Data Set”, make some logical recommendations to the CEO, and justify why/how your proposal could enhance company operations, sales etc. Include the relevant screenshots of the BI analysis, and also any assumptions that you may have made about the analysis. 10 Report is well-written and presented professionally, containing: • Title page • Executive Summary (outlining the scope of report, key findings and recommendations) • Table of Contents • Appropriate use of headings within report • Appropriate use of figures (i.e. graphs, summary tables) and • References (APA Style)- in text and bibliography (10 articles) 1 2 1 1 1 4 Total Marks 50 Total Marks out of 20 20%
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Answer To: Due Date: Week 11, Friday 5:00 pm CRICOS Provider No. 00103D ITECH 7406 Page 1 ITECH7406- Business...

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CRICOS Provider No.
00103D
ITECH 7406
Page 1
ITECH7406- Business Intelligence and Data Warehousing Data
Analysis Individual Assignment – 2019 Sem3
Worth – 20% (Week 11- Sun, June 2, 2019 - 17:00)

Learning Outcomes Assessed: S1,S2,S3,K3, K4, A1,A2

Purpose: To encourage and provide students on-hands experiences of using SAP or Watson
Analytics tools to explore, extract and analyse enterprise data

This is a business analytics project aimed at generating innovative analytics solutions. It will
allow students to show innovation and creativity in applying SAP Business Object/Predictive
Analytics or Watson Analytics in designing useful visualization solutions and predictive models
for different types of analytics problems.

The topic will be on environmental issues. Your main task is to apply any of the analytical
tools to develop innovative analytics visualization solutions and predictive models with regards
to environment, e.g. climate change, energy consumption, carbon footprint, greenhouse gas
emission, pollution dashboard, etc. Besides the suggested datasets/sources, you may apply any
other real-world dataset to illustrate your approach (the different datasets can be combined too).
Please find the attached sample reports

Some possible datasets/sources:


http://data.un.org/Explorer.aspx
http://data.worldbank.org/topic/environment
https://data.oecd.org/
http://geodata.grid.unep.ch/
http://open-data.europa.eu/en/data/publisher/eea
https://www.data.gov/
http://data.un.org/Explorer.aspx
http://data.worldbank.org/topic/environment
https://data.oecd.org/
http://geodata.grid.unep.ch/
http://open-data.europa.eu/en/data/publisher/eea
https://www.data.gov/
CRICOS Provider No.
00103D
ITECH 7406
Page 2
Report Submission

Submit your report as either a word or PDF document via Moodle on Sunday, June 2, 2019
- 17:00 (Week 11). You will submit a 9-10 pages report (about 3000 words not counting
cover page and references) of this project. At least 15 references in your report must be from
peer- reviewed sources. Include any and all sources of information including any person(s)
you interviewed for this project.
Please note that all references must adhere to APA style. See
http://owl.english.purdue.edu/owl/resource/560/01 and http://www.apastyle.org/ for details on
how to format a report and how to cite references. Make sure your follow formal report structure
with cover page, introduction, use of headings, subheadings, conclusion sand reference section.
You are reminded to read the “Plagiarism” section of the course description. Your essay should
be a synthesis of ideas from a variety of sources expressed in your own words.

All reports must use the APA referencing style.
University Referencing/Citation Style Guide:
The University has published a style guide to help students correctly reference and cite information
they use in assignments (American Psychological Association (APA) citation style,
http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/print/ch06s04.shtml
or Australian citation style


Reports are to be presented in hard copy in size 12 Arial Font and double spaced. Your report
should include a list of references used in the essay and a bibliography of the wider reading you
have done to familiarize yourself on the topic.

A passing grade will be awarded to assignments adequately addressing all assessment criteria.
Higher grades require better quality and more effort. For example, a minimum is set on the wider
reading required. A student reading vastly more than this minimum will be better prepared to
discuss the issues in depth and consequently their report is likely to be of a higher quality. So
before submitting, please read through the assessment criteria very carefully.
http://owl.english.purdue.edu/owl/resource/560/01
http://www.apastyle.org/
http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/print/ch06s04.shtml
CRICOS Provider No.
00103D
ITECH 7406
Page 3


ITECH7406- Business Intelligence and Data Warehousing
Data Analysis Individual Assignment – 2018 Sem3
Tasks Max
Marks
Marks
Awarded
Comments
What are the BI reporting solution/dashboards you will
need to develop for the Senior Executives of chosen data
Set– You must have at least two types of analytics i.e
Predictive/prescriptive/ descriptive
10
Design Mobile application using QSR code for your
insights /solutions/dashboard – Please provide your QSR
code in your assignment
10
Justify why these BI reporting solution/dashboards are
chosen and why those attributes are present and laid out in
the fashion you proposed (feel free to include all other
relevant justifications using the academic articles).
Note: To ensure that you discuss this task properly, you
must include visual samples of the reports you produce
(i.e. the screenshots of the BI report/dashboard must be
presented and explained in the written report; use
‘Snipping tool’), and also include any assumptions that
you may have made about the analysis in yourassignment
report (i.e. the report to the senior executive team of the
company).
10
Furthermore, the CEO would like to improve the
operations. Based on your BI analysis and the insights
gained from “Data Set”, make some logical
recommendations to the CEO, and justify why/how your
proposal could enhance company operations, sales etc.
Include the relevant screenshots of the BI analysis, and
also any assumptions that you may have made about the
analysis.
10
Report is well-written and presented professionally,
containing:
• Title page
• Executive Summary (outlining the scope of report, key
findings and recommendations)
• Table of Contents
• Appropriate use of headings within report
• Appropriate use of figures (i.e. graphs, summary tables)
and
• References (APA Style)- in text and bibliography
(10 articles)


1
2
1
1
1
4
Total Marks 50
Total Marks out of 20 20%
Order ID 41196/qr-code (1).png
Order ID 41196/REPORT.docx
ITECH7406- Business Intelligence
And
Data Warehousing
Data Analysis Report
Individual Assignment
2019
SUBMITTED TO:
REPORT PREPARED
BY
INDEX
INDEX…………………...…………………………………………………………………..........2
EXECUTIVE SUMMARY…………………………………..…………………………….........3
INTRODUCTION…………………………………………...………………………………..…4
PARTS OF ANALYTICS…………..……………….………………………………….….4
QSR CODE……………………………………………………………………………………….5
EXECUTIVE INSIGHT
BI REPORTING SOLUTION / DASHBOARDS/ REPORTS..........................................6
PERFORM DASHBOARDS
· REPORT1………………………………………………………………8
CEO RECOMMENDATION…………………………………………………………………14
REFERENCES…………………………………………………………………………..…….15
EXECUTIVE SUMMARY
Seeing Big Data is the zone of Data Analytics. There are various instruments and frameworks which are sent in order to assemble, change, wash, request and convert that data into viably reasonable data recognition and uncovering associations. Surface water gets selenium from barometrical proclamation, surface overflow, and subsurface waste. Selenium levels in sea surface water reach out from 0.06 to 0.12 μg/L (Schutz and Turekian, 1965; Sugimura et al., 1976). The measurements move extensively in groundwater and surface water (0.06-400 μg/L) (Morette and Divin, 1965; WHO, 1987), and in specific locales groundwater obsessions may reach up to 6000 μg/L (Cannon, 1964). The selenium substance of surface water is amazingly influenced by pH; it is high in acidic (pH < 3.0) and dissolvable (pH > 7.5) surface water. In the occasion that iron is accessible, selenium rushes as dissolvable basic ferric selenite at pH 6.3-6.7. At generally pH 8, selenite may be oxidized to dissolvable selenates, along these lines extending the water center up to 10-400 μg/L. A mean estimation of 0.23 μg/L for surface waters, for instance, streams in various countries was represented by Wang and associates (1994). Measurements of selenium in spigot water tests from vast water supplies in the United States, Canada, Germany, and Australia just especially outperformed 10 μg/L, yet may outperform 50 μg/L . Surface water, as the name induces, is water found o
utwardly of the planet as conduits, lakes, wetlands, or oceans. It might be showed up contrastingly in connection to groundwater and air water. Nonsaline surface water is recharged by precipitation and by enrollment from groundwater. It is lost through dissemination or by waste into the ground where it advances toward getting to be groundwater, used by plants for transpiration and expelled by individuals for cultivation, step by step life, industry, etc., or it is discharged to the sea where it winds up saline. Surface and groundwater are two separate components, so they ought to be seen in that limit. Regardless, there is a routinely extending prerequisite for the officials of both, as they are a bit of an interrelated structure that is vital when the enthusiasm for water outperforms the open supply. Weariness of surface and groundwater hotspots for open use (checking mechanical, business, and private) is realized by overpumping. Aquifers close stream systems that are overpumped have been alluded to deplete surface water sources moreover. Research supporting this has been found in different water spending plans for a colossal number of urban networks. Response times for an aquifer are long. Regardless, a full scale forbiddance on groundwater use in the midst of water subsidences would empower surface water to hold levels required for reasonable maritime life. By diminishing groundwater siphoning, the surface water supplies would be better prepared to keep up their measurements, as they restore from direct precipitation, surface overflow, etc. Surface waters can be both strongly and continually harmful to edge, despite the way that the latter is in all probability impressively progressively commonplace. Regardless of the way that extraordinary, mine waste or present day discharges can bring Hg centers up in surface waters to levels that are known to be seriously noxious to edge. More likely than not, noxious quality in wild fish is related to endless introduction to MeHg(I) by methods for the eating schedule. This structure is effectively biomagnified up maritime sustenance systems, gathering to levels in piscivorous fish that have been compared with adversarial impacts in wild peoples .Surface waters can be both strongly and perpetually noxious to point, regardless of the way that the latter is in all likelihood extensively progressively run of the mill. Notwithstanding the way that remarkable, mine waste or mechanical discharges can bring Hg centers up in surface waters to levels that are known to be strongly risky to point. Everything considered, destructiveness in wild fish is related to steady introduction to MeHg(I) by methods for the eating schedule. This structure is effectively biomagnified up maritime sustenance systems, collecting to levels in piscivorous fish that have been related with hostile effects in wild peoples.
INTRODUCTION
Surface water sets up under 0.02% of the overall water stock , anyway the store lakes, streams, and wetlands that detect Earth's surface are what we ordinarily cooperate with the field of hydrology and with overall water resources. These water bodies are tolerably successfully tapped for drinking water and for agricultural and mechanical water use, similarly as offering traditional overland transportation pathways. Thus, by far most of the world's settlements and urban areas were developed connecting conduits or lakes. Where surface water is difficult to find, normally to produce counterfeit archives that store water and copy an enormous number of the trademark components of lakes. Water is furthermore plenteous in soils and in wetlands – swamps, lowlands, bogs, and fens – where it supports the advancement of vegetation and yields. This water abides in the pore space of mineral and characteristic material, regardless of the way that it can moreover 'pool' at the surface where the ground is splashed, as is typical in lowlands. Water in wetlands and soils is at risk to instabilities in the water table, the significance at which the ground is inundated. This depends upon the test among infiltration and resuscitate from precipitation, exchanges with the essential groundwater structure, and withdrawals related with dissemination, transpiration, and natural water use. Despite these stores of 'blue water', enormous measures of surface water are secured as incidental snow and suffering ice . Most of the world's snowpack accumulates in the winter season at mid-and high extensions, by then relaxes in the spring and summer, running off through surface drainage organizes and invigorating lakes, soils, wetlands, and groundwater structures. Frigid masses and permafrost go about as longer-term archives of water, totaling water over decades to hundreds of years on the planet's mountain and polar locale. Surface water may include fresh or saline water, or a mix of semi-saline water called cruel water. Brutal and saline waters are accessible in our oceans, seas and stream delta regions. New surface waters fuse conduits, lakes, swamps and groundwater. The greater bit of fresh water (66%) is, in any case, hardened and epitomized in icecaps and frosty masses. Groundwater similarly contains a colossal segment: 33%. Of the remainder of the part, new water generally joins lakes, marshes and streams. Surface waters are, all things considered, influenced by spoiling from human and animal activities yet furthermore from nature itself, which may deal general prosperity. The extent of human activities in the catchment that may cause pollution of surface waters with microbiological, invention and radiological perils joins agrarian activities, sanitation practices, industry, mining, military goals, waste exchange and traffic. As differentiated and groundwater, surface waters overall ought to be managed, often extensively. Surface water can't avoid being water that streams or lays aground and is accessible to the air, for instance, lakes, lakes, lagoons, conduits, streams, dispose of, and man-made impoundments. When taking a gander at a surface water area, there ought to be a consideration on assessing both physical and substance characteristics of the water (i.e., suspended solids, deteriorated contaminants) and after that furthermore relating these credits to hydrologic conditions, sources, and transport (Shelton, 1994). There are two perplexing segments when looking at surface water. One factor is whether suspended material should be considered as a noteworthy part of the precedent. For recognizing confirmation purposes, collection of suspended material may not be an issue. For choosing center, assembling a specialist test containing suspended material is an irksome issue. The best procedure for addressing suspended material in gushing surface water is using a joining sampler (USGS, 2005). The other puzzling segment is the transient thought of surface water. Examination obsessions in surface water can change rapidly over brief time allotments. Testing plans should consider transient heterogeneity.
PARTS OF ANALYTICS
•    Descriptive examination or estimations can consolidate rough data and convert it into a structure that can be adequately fathomed by individuals. They can delineate in knowledge concerning an event that has occurred previously. This kind of examination is valuable in gathering any precedent if any from past events or drawing interpretations from them with the objective that better methods for the future can be kept.
•    The clear successor to realistic examination is definite examination. Expressive analytic mechanical assemblies help a specialist to plunge further into an issue close-by with the objective that they can connect at the wellspring of an issue.
•    Predictive examination urges associations to guess designs reliant on the ongoing advancements. Notwithstanding whether it's predicting the probability of an event happening in future or assessing the exact time it will happen would all have the option to be settled with the help of farsighted sensible models.
•    A prescriptive examination is what turns out to be conceivably the most significant factor when your Uber driver gets the less complex course from Gmaps. The best course was picked by considering the partition of each open course from your get course to the objective and the traffic impediments on each road.
QSR CODE
QR code works similarly as a scanner tag at the grocery store. It is a machine-searchable picture that can in a split second be perused utilizing a Smartphone camera. Each QR code comprises of various dark squares and specks which speak to specific snippets of data.
EXECUTIVE INSIGHT
BI REPORTING SOLUTION/DASHBOARDS
Data examination is huge in business to grasp issues defying an affiliation, and to research data in significant ways. Data in itself is simply measurable information focuses. Data examination deals with, interprets, structures and brings the data into accommodating information that offers setting to the data. Business information gadgets are starting at now being used for essential corporate destinations, which consolidate KPI estimation, monetarily sagacious sending of benefits, business prosperity orchestrating and time of encounters to quickly settle on crucial decisions, among various others. What's incredible about such game plans is that they help associations use business information over the affiliation. They are moreover adequately sent, utilized and consolidated with any association's structure. The benefits of business information gadgets far surpass the endeavors they include. They can help associations increment noteworthy bits of learning with influencing improvement, resolve sincere concerns, assemble displaying data even more quickly, give a consistent point of view on the affiliation and consider the desire for future outcome using insightful examination and foreseeing. New BI programming examples have been colossally outfitting relationship with new limits. Data disclosure, which used to be the turf of authorities in bleeding edge examination is by and by made basic using these stages. This is developed through visual examination, empowering pioneers to access and expeditiously follow up on data. Possibly a champion among the most huge examples in BI courses of action is their game plan of adaptable assistance and cloud sending, empowering customers to get to and research information from any device. We should walk you through all the huge pieces of each thing, including its stand-out characteristics and features, showing unequivocal applications and discussing any drawbacks you should consider. The best business knowledge instrument for pretty much nothing and immense associations is an aftereffect of its adaptable building and expansive course of action of features that change in accordance with the essentials of any business gauge. From data blend and isolating to examination and itemizing, this stage has all that you need to comprehend your numbers. In addition, the stage's interface is fundamental enough to use for students and sufficiently weighty to manage the necessities of specialists.
PERFORM DASHBOARD/REPORTS
REPORT
Source: http://data.un.org/Explorer.aspx
Surface water test might be collected by jumping a party bottle with twofold top just underneath the water surface, and after the compartment is filled-in, its internal spread is shut while the mouth of the holder is as of not long ago submerged. A critical water test might be aggregated with the assistance of a water sampler bottle. Significantly more verifiably, test water is collected by adaptable tubing releasing at the base of a 100-mL graduated chamber or Nelson's chamber. The model water is permitted to flood multiple times. The chamber is pulled back while the model water is spouting. The surveying chamber is flicked (snapped) to lose the abundance test water over the 100-mL mark. Some loss of FCO2 might be run of the mill away and on development of the point of reference, even with a careful storing up methodology. In this manner, field affirmation following testing is charming. Of course, the testing holder is totally piled up with the model water and is guaranteed at a temperature lower than room temperature and FCO2 is overviewed at the most prompt shot. The Environment Statistics Database contains picked water and waste encounters by nation. Bits of information on water and waste depend upon power estimations given by national obvious workplaces or possibly organizations of condition (or indistinct foundations) in nations in light of the biennial UNSD/UNEP Questionnaire on Environment Statistics.
DATA SET: Fresh groundwater abstracted
DATA SET: Fresh surface water abstracted
CEO RECOMMENDATION
Information examination was once seen as an assignment to be a done or an undertaking to be prepared. It quite often fell under the domain of the CIO, since information social occasion, stockpiling, and preparing were empowered by innovation and information design. In any case, at that point a social move occurred: the ascent of web business and internet based life made the client lord. Deals and promoting pioneers needed firsthand learning of what forthcoming clients were doing or saying on these sites. Information volume expanded, seemed quicker, and involved both unstructured and organized informational indexes, yet it ended up obvious how basic information examination would move toward becoming in changing the focused scene. Organizations started to perceive information for what it was: a very important resource that required advancement and assurance. That perspective moved toward becoming solidified with the ascent of new guidelines, for example, the General Data Protection Regulation (GDPR), which is intended to fortify information insurances and put more control in the hands of people. Information administration is an intricate test. The more enormous information progresses toward becoming weaved with business esteem, the more it requires an abnormal state of oversight and assurance. Similarly as a CEO is in charge of different business resources, for example, genuine property and scholarly and human capital, it bodes well that the oversight of information has moved to the CEO too. Think basically. When your information has been assembled into a solitary source and your devices are set up for controlling and envisioning the information, it's an ideal opportunity to begin dealing with models. It's significant at this phase to apply basic reasoning in the improvement of your model. Information instruments and industry learning are phenomenal, however without a dimension of basic reasoning and scientific displaying, it's hard to separate helpful bits of knowledge. This is the reason it's essential to work nearby your information researchers and guarantee they have the business and area explicit learning they have to succeed. Recognize that a 'one size fits all' device doesn't exist. Information science groups are involved people with various scholastic foundations and encounters. Each assumes a basic job in getting, purging, and investigating the information to construct prescient models utilizing different information science methods. Given the decent variety of the information science group, there should be more than one approach to engage the information science group. Beginning With the Right Tools Making beyond any doubt the general population nearest to the information have the correct instruments is basic to progress for any information science venture. As you reveal your huge information activities, make certain to keep reasonable desires for each task. While you ought to completely follow the arrival on venture for each task, the timetable utilized may should be somewhat longer than other building tries. Contingent upon how your information is right now sorted out and acquired, simply gathering and merging your information into a useable source and configuration can be a massive errand. For the most part, you ought not expect any valuable investigation until after your information is recognized, cleaned, and changed over to computationally proficient configurations. Luckily, you don't have to focus on a full information science group immediately. Plunge your toes in the water, and see what it resembles to utilize information to deliver a noteworthy outcome for your business. Outsider sellers can regularly enable you to begin with a proof of idea that you would then be able to grow further with in-house ability. It's fantastically helpful to begin little and work up to a bigger group as your information practices and encounters inside the organization become progressively settled. Since once you have made prescribed procedures for your information gathering and maintenance pipelines, it's a lot simpler to locally available new information researchers and specialized staff. You'll additionally have the option to adjust to various information science challenges en route, for example, choosing whether to mine current information, improve current information with new data, or work with new information through and through for various undertakings.
REFERENCES
· Kostich, M. S., Batt, A. L., & Lazorchak, J. M. (2014). Concentrations of prioritized pharmaceuticals in effluents from 50 large wastewater treatment plants in the US and implications for risk estimation. Environmental Pollution, 184, 354-359.
· Mjalli, F. S., Al-Asheh, S., & Alfadala, H. E. (2007). Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. Journal of Environmental Management, 83(3), 329-338.
· Behera, S. K., Kim, H. W., Oh, J. E., & Park, H. S. (2011). Occurrence and removal of antibiotics, hormones and several other pharmaceuticals in wastewater treatment plants of the largest industrial city of Korea. Science of the Total Environment, 409(20), 4351-4360.
· Foley, J., De Haas, D., Yuan, Z., & Lant, P. (2010). Nitrous oxide generation in full-scale biological nutrient removal wastewater treatment plants. Water research, 44(3), 831-844.
· Kaegi, R., Voegelin, A., Sinnet, B., Zuleeg, S., Hagendorfer, H., Burkhardt, M., & Siegrist, H. (2011). Behavior of metallic silver nanoparticles in a pilot wastewater treatment plant. Environmental science & technology, 45(9), 3902-3908.
· Irvine, R. J., Kostakis, C., Felgate, P. D., Jaehne, E. J., Chen, C., & White, J. M. (2011). Population drug use in Australia: a wastewater analysis. Forensic science international, 210(1-3), 69-73.
· Mackuľak, T., Grabic, R., Gál, M., Gál, M., Birošová, L., & Bodík, I. (2015). Evaluation of different smoking habits during music festivals through wastewater analysis. Environmental toxicology and pharmacology, 40(3), 1015-1020.
· Feenstra, S., Hussain, R., & van der Hoek, W. (2000). Health risks of irrigation with untreated urban wastewater in the southern Punjab, Pakistan.
        ·
        · Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies—planning for high-quality data and typical sources of errors. Water environment research, 82(5), 426-433.
· Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies—planning for high-quality data and typical sources of errors. Water environment research, 82(5), 426-433.
        ·
        · Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies—planning for high-quality data and typical sources of errors. Water environment research, 82(5), 426-433.
Order ID 41196/UNdata_Export_Fresh groundwater abstracted.csv
Country or Area,Year,Value,Value Footnotes,Unit
Albania,2015,262,,million cubic metres
Albania,2014,235,,million cubic metres
Algeria,2015,3654.939941,1,million cubic metres
Algeria,2014,3117.449951,1,million cubic metres
Algeria,2013,3046.909912,1,million cubic metres
Algeria,2012,3000,,million cubic metres
Algeria,2011,2915,,million cubic metres
Algeria,2010,2603,,million cubic metres
Algeria,2009,4200,,million cubic metres
Algeria,2008,4150,,million cubic metres
Algeria,2007,3000,,million cubic metres
Algeria,2006,2800,,million cubic metres
Algeria,2005,2800,,million cubic metres
Algeria,2004,2800,,million cubic metres
Algeria,2003,2600,,million cubic metres
Algeria,2002,2600,,million cubic metres
Algeria,2001,2600,,million cubic metres
Algeria,2000,2600,,million cubic metres
Antigua and Barbuda,2015,0.74000001,,million cubic metres
Antigua and Barbuda,2014,0.680000007,,million cubic metres
Antigua and Barbuda,2013,0.720000029,,million cubic metres
Antigua and Barbuda,2012,1.200000048,,million cubic metres
Antigua and Barbuda,2011,1.200000048,,million cubic metres
Antigua and Barbuda,2010,1.600000024,,million cubic metres
Antigua and Barbuda,2009,1.600000024,,million cubic metres
Antigua and Barbuda,2008,1.399999976,,million cubic metres
Antigua and Barbuda,2007,2.099999905,,million cubic metres
Antigua and Barbuda,2006,1.230000019,,million cubic metres
Antigua and Barbuda,2005,1.25999999,,million cubic metres
Antigua and Barbuda,2004,1.090000033,,million cubic metres
Antigua and Barbuda,2003,0.819999993,,million cubic metres
Antigua and Barbuda,2002,0.970000029,,million cubic metres
Antigua and Barbuda,2001,0.949999988,,million cubic metres
Antigua and Barbuda,2000,0.660000026,,million cubic metres
Antigua and Barbuda,1995,0.550000012,,million cubic metres
Antigua and Barbuda,1990,1.139999986,,million cubic metres
Armenia,2015,1304.400024,,million cubic metres
Armenia,2014,1312,,million cubic metres
Armenia,2013,1348.699951,,million cubic metres
Armenia,2012,1314.400024,,million cubic metres
Armenia,2011,1002.799988,,million cubic metres
Armenia,2010,875.7999878,,million cubic metres
Armenia,2009,854.4000244,,million cubic metres
Armenia,2008,852,,million cubic metres
Armenia,2007,858,,million cubic metres
Armenia,2006,843,,million cubic metres
Armenia,2005,803,,million cubic metres
Armenia,2004,722,,million cubic metres
Armenia,2003,674,,million cubic metres
Armenia,2002,675,,million cubic metres
Armenia,2001,530,,million cubic metres
Armenia,2000,533,,million cubic metres
Armenia,1999,536,,million cubic metres
Armenia,1998,530,,million cubic metres
Armenia,1997,520,,million cubic metres
Armenia,1996,616,,million cubic metres
Armenia,1995,851,,million cubic metres
Armenia,1990,1325.400024,,million cubic metres
Azerbaijan,2015,2016,,million cubic metres
Azerbaijan,2014,1819,,million cubic metres
Azerbaijan,2013,1738,,million cubic metres
Azerbaijan,2012,1696,,million cubic metres
Azerbaijan,2011,1506,,million cubic metres
Azerbaijan,2010,1272,,million cubic metres
Azerbaijan,2009,1262,,million cubic metres
Azerbaijan,2008,1127,,million cubic metres
Azerbaijan,2007,1112,,million cubic metres
Azerbaijan,2006,1073,,million cubic metres
Azerbaijan,2005,798,,million cubic metres
Azerbaijan,2004,707,,million cubic metres
Azerbaijan,2003,607,,million cubic metres
Azerbaijan,2002,545,,million cubic metres
Azerbaijan,2001,511,,million cubic metres
Azerbaijan,2000,547,,million cubic metres
Azerbaijan,1999,454,,million cubic metres
Azerbaijan,1998,681,,million cubic metres
Azerbaijan,1997,1098,,million cubic metres
Azerbaijan,1996,987,,million cubic metres
Azerbaijan,1995,1150,,million cubic metres
Azerbaijan,1990,1706,,million cubic metres
Bahamas,2000,3.349999905,,million cubic metres
Bahamas,1999,3.74000001,,million cubic metres
Bahamas,1998,3.700000048,,million cubic metres
Bahamas,1997,3.710000038,,million cubic metres
Bahamas,1996,3.640000105,,million cubic metres
Bahamas,1995,3.140000105,,million cubic metres
Bahamas,1990,4.989999771,,million cubic metres
Bahrain,2015,159.1000061,2,million cubic metres
Bahrain,2014,179.1000061,2,million cubic metres
Bahrain,2013,182.1999969,2,million cubic metres
Bahrain,2012,178.6000061,2,million cubic metres
Bahrain,2011,186.6000061,2,million cubic metres
Bahrain,2010,181.8000031,2,million cubic metres
Bahrain,2009,169.1000061,2,million cubic metres
Bahrain,2008,182.8999939,2,million cubic metres
Bahrain,2007,199.8999939,2,million cubic metres
Bahrain,2006,216.5,2,million cubic metres
Bahrain,2005,208.5,2,million cubic metres
Bahrain,2004,231.6000061,2,million cubic metres
Bahrain,1990,219.5,2,million cubic metres
Bangladesh,2015,754.1500244,3,million cubic metres
Bangladesh,2014,61.68999863,4,million cubic metres
Bangladesh,2013,60.68999863,4,million cubic metres
Bangladesh,2012,58.36000061,4,million cubic metres
Bangladesh,2011,55.97000122,4,million cubic metres
Bangladesh,2010,55.24000168,4,million cubic metres
Bangladesh,2009,51.22999954,4,million cubic metres
Bangladesh,2008,16.20000076,5,million cubic metres
Bangladesh,2007,14.19999981,5,million cubic metres
Bangladesh,2006,12.5,5,million cubic metres
Bangladesh,2005,12,5,million cubic metres
Bangladesh,2004,11.89999962,5,million cubic metres
Barbados,2000,51.59999847,,million cubic metres
Barbados,1999,52.70000076,,million cubic metres
Barbados,1998,52.90000153,,million cubic metres
Barbados,1997,58.5,,million cubic metres
Barbados,1996,58.79999924,,million cubic metres
Barbados,1995,61.20000076,,million cubic metres
Barbados,1990,61.20000076,,million cubic metres
Belarus,2015,845,,million cubic metres
Belarus,2014,867,,million cubic metres
Belarus,2013,874,,million cubic metres
Belarus,2012,898,,million cubic metres
Belarus,2011,891,,million cubic metres
Belarus,2010,877,,million cubic metres
Belarus,2009,858,,million cubic metres
Belarus,2008,919,,million cubic metres
Belarus,2007,961,,million cubic metres
Belarus,2006,1009,,million cubic metres
Belarus,2005,1034,,million cubic metres
Belarus,2004,1038,,million cubic metres
Belgium,2014,631.6500244,,million cubic metres
Belgium,2011,602.4000244,,million cubic metres
Belgium,2010,612.4000244,,million cubic metres
Belgium,2009,612.5,,million cubic metres
Belgium,2008,612.2999878,,million cubic metres
Belgium,2007,647.5999756,,million cubic metres
Belgium,2006,645,,million cubic metres
Belgium,2005,636.0999756,,million cubic metres
Belgium,2004,658.2000122,,million cubic metres
Belgium,2003,684.5999756,,million cubic metres
Belgium,2002,662.7000122,,million cubic metres
Belgium,2001,679.4000244,,million cubic metres
Belgium,2000,676.0999756,,million cubic metres
Belgium,1999,641,,million cubic metres
Belgium,1998,622.5,,million cubic metres
Belgium,1997,645.7999878,,million cubic metres
Belgium,1996,711.7000122,,million cubic metres
Belgium,1995,715.7999878,,million cubic metres
Belgium,1994,670,,million cubic metres
Belize,2012,1.989400029,,million cubic metres
Belize,2011,1.936499953,,million cubic metres
Belize,2010,1.918200016,,million cubic metres
Belize,2009,1.852800012,,million cubic metres
Belize,2008,1.867300034,,million cubic metres
Belize,2007,1.827999949,,million cubic metres
Belize,2006,1.685099959,,million cubic metres
Belize,2005,1.653407693,,million cubic metres
Belize,2004,1.610000014,,million cubic metres
Belize,2003,1.534653068,,million cubic metres
Belize,2002,1.600390553,,million cubic metres
Belize,2001,1.557651877,,million cubic metres
Belize,2000,1.391273141,,million cubic metres
Belize,1999,1.265238523,,million cubic metres
Belize,1998,1.270384192,,million cubic metres
Belize,1997,1.278712153,,million cubic metres
Belize,1996,1.248428822,,million cubic metres
Belize,1995,1.222408056,,million cubic metres
Bolivia (Plurinational State of),2015,173.2507172,6,million cubic metres
Bolivia (Plurinational State of),2014,165.3218994,6,million cubic metres
Bolivia (Plurinational State of),2013,162.2667999,6,million cubic metres
Bolivia (Plurinational State of),2012,144.8075714,6,million cubic metres
Bolivia (Plurinational State of),2011,133.7156525,6,million cubic metres
Bosnia and Herzegovina,2015,310.6203003,,million cubic metres
Bosnia and Herzegovina,2014,300.0090637,,million cubic metres
Bosnia and Herzegovina,2013,306.7556152,,million cubic metres
Bosnia and Herzegovina,2012,304.484314,,million cubic metres
Bosnia and Herzegovina,2011,302.1762085,,million cubic metres
Bosnia and Herzegovina,2010,328.559906,,million cubic metres
Bosnia and Herzegovina,2009,331.7790527,,million cubic metres
Bosnia and Herzegovina,2008,329.5874939,,million cubic metres
Bosnia and Herzegovina,2007,327.3959045,,million cubic metres
Bosnia and Herzegovina,2006,325.2043457,,million cubic metres
Bosnia and Herzegovina,2005,323.0127869,,million cubic metres
Bosnia and Herzegovina,2004,320.8211975,,million cubic metres
Bosnia and Herzegovina,2003,318.6296387,,million cubic metres
Bosnia and Herzegovina,2002,316.4380493,,million cubic metres
Bosnia and Herzegovina,2001,314.2464905,,million cubic metres
Bosnia and Herzegovina,2000,312.0549316,,million cubic metres
Botswana,2015,108.8000031,,million cubic metres
Botswana,2014,99.59999847,,million cubic metres
Botswana,2013,96,,million cubic metres
Botswana,2012,103.4000015,,million cubic metres
Botswana,2011,99.30000305,,million cubic metres
Botswana,2010,99.30000305,,million cubic metres
Botswana,2009,97.5,,million cubic metres
Botswana,2008,99.80000305,,million cubic metres
Botswana,2007,97.59999847,,million cubic metres
Botswana,2006,102.5,,million cubic metres
Botswana,2005,103,,million cubic metres
Botswana,2004,104.0999985,,million cubic metres
Botswana,2003,100.5,,million cubic metres
Botswana,2002,109.5,,million cubic metres
Botswana,2001,99.5,,million cubic metres
Botswana,2000,101,,million cubic metres
Botswana,1999,98.59999847,,million cubic metres
Botswana,1998,92.80000305,,million cubic metres
Botswana,1997,90.40000153,,million cubic metres
Botswana,1996,88.80000305,,million cubic metres
Botswana,1995,92.40000153,,million cubic metres
Bulgaria,2015,558.3499756,,million cubic metres
Bulgaria,2014,546.8400269,,million cubic metres
Bulgaria,2013,558.039978,,million cubic metres
Bulgaria,2012,565.6099854,,million cubic metres
Bulgaria,2011,544.7399902,,million cubic metres
Bulgaria,2010,556.7000122,,million cubic metres
Bulgaria,2009,584.2700195,,million cubic metres
Bulgaria,2008,615.75,,million cubic metres
Bulgaria,2007,641.7700195,,million cubic metres
Bulgaria,2006,647.4000244,,million cubic metres
Bulgaria,2005,596.6900024,,million cubic metres
Bulgaria,2004,601.1799927,,million cubic metres
Bulgaria,2003,647.9199829,,million cubic metres
Bulgaria,2002,659.7399902,,million cubic metres
Bulgaria,2001,719.4400024,,million cubic metres
Bulgaria,2000,794.7199707,,million cubic metres
Bulgaria,1999,814.0499878,,million cubic metres
Bulgaria,1998,834.6099854,,million cubic metres
Bulgaria,1997,838.4799805,,million cubic metres
Bulgaria,1996,917.6799927,,million cubic metres
Bulgaria,1995,942.25,,million cubic metres
Bulgaria,1994,1017.109985,,million cubic metres
Bulgaria,1993,1087.329956,,million cubic metres
Bulgaria,1992,1275.130005,,million cubic metres
Bulgaria,1991,1462.209961,,million cubic metres
Bulgaria,1990,1733.959961,,million cubic metres
Cameroon,2009,14.94540024,7,million cubic metres
Cameroon,2008,9.882300377,7,million cubic metres
Cayman Islands,2015,0.003093,,million cubic metres
Cayman Islands,2014,0.0023184,,million cubic metres
Cayman Islands,2013,0.0051268,,million cubic metres
Cayman Islands,2012,0.0020656,,million cubic metres
Cayman Islands,2011,0.0046928,,million cubic metres
Cayman Islands,2010,0.0043517,,million cubic metres
Cayman Islands,2009,0.0108174,,million cubic metres
Cayman Islands,2008,0.0263559,,million cubic metres
Cayman Islands,2007,0.018523101,,million cubic metres
Cayman Islands,2006,0.025750557,,million cubic metres
Cayman Islands,2005,0.025795847,,million cubic metres
Cayman Islands,2004,0.029541461,,million cubic metres
Central African Republic,2009,9,,million cubic metres
China,2015,106920,,million cubic metres
China,2014,111690,,million cubic metres
China,2013,112620,,million cubic metres
China,2012,113380,,million cubic metres
China,2011,110010,,million cubic metres
China,2010,110730,,million cubic metres
China,2009,109452,,million cubic metres
China,2008,108480,,million cubic metres
China,2007,106910,,million cubic metres
China,2006,106550,,million cubic metres
China,2005,103880,,million cubic metres
China,2004,102640,,million cubic metres
China,2003,101810,,million cubic metres
China,2002,107240,,million cubic metres
China,2001,109490,,million cubic metres
China,2000,106920,,million cubic metres
China,1999,107208,,million cubic metres
"China, Hong Kong Special Administrative Region",2015,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2014,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2013,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2012,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2011,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2010,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2009,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2008,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2007,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2006,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2005,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2004,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2003,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2002,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2001,0,,million cubic metres
"China, Hong Kong Special Administrative Region",2000,0,,million cubic metres
"China, Hong Kong Special Administrative Region",1999,0,,million cubic metres
"China, Hong Kong Special Administrative Region",1998,0,,million cubic metres
"China, Hong Kong Special Administrative Region",1997,0,,million cubic metres
"China, Hong Kong Special Administrative Region",1996,0,,million cubic metres
"China, Hong Kong Special Administrative Region",1995,0,,million cubic metres
"China, Hong Kong Special Administrative Region",1990,0,,million cubic metres
Colombia,2014,10090.73438,,million cubic metres
Colombia,2013,10622.22363,,million cubic metres
Colombia,2012,10076.71191,,million cubic metres
Colombia,2011,10071.20996,,million cubic metres
Colombia,2010,9531.929688,,million cubic metres
Colombia,2009,9713.804688,,million cubic metres
Colombia,2008,8968.013672,,million cubic metres
Colombia,2007,8453.005859,,million cubic metres
Costa Rica,2015,1743.429077,,million cubic metres
Costa Rica,2014,1439.854858,,million cubic metres
Costa Rica,2013,1194.876953,,million cubic metres
Costa Rica,2012,1120.773438,,million cubic metres
Costa Rica,2011,965.3988647,,million cubic metres
Costa Rica,2010,771.385376,,million cubic metres
Costa Rica,2009,424.4729309,,million cubic metres
Costa Rica,2008,337.1994629,,million cubic metres
Costa Rica,2007,240.4008484,,million cubic metres
Costa Rica,2006,188.7659149,,million cubic metres
Costa Rica,2005,134.5319824,,million cubic metres
Côte d'Ivoire,1990,162,8,million cubic metres
Croatia,2015,427.5,,million cubic metres
Croatia,2014,408,,million cubic metres
Croatia,2013,444.3970032,9,million cubic metres
Croatia,2012,449.7950134,9,million cubic metres
Croatia,2011,470.3599854,,million cubic metres
Croatia,2010,485.4299927,,million cubic metres
Croatia,2009,488.6900024,,million cubic metres
Croatia,2008,449.6000061,,million cubic metres
Croatia,2007,464.3299866,,million cubic metres
Croatia,2006,463.7999878,,million cubic metres
Cuba,2015,2814,,million cubic metres
Cuba,2014,2928,,million cubic metres
Cuba,2013,2867,,million cubic metres
Cuba,2012,3043,,million cubic metres
Cuba,2011,2375,,million cubic metres
Cuba,2010,2749,,million cubic metres
Cuba,2009,2169,,million cubic metres
Cuba,2008,2336,,million cubic metres
Cuba,2007,2286,,million cubic metres
Cuba,2006,1836,,million cubic metres
Cuba,2005,1485,,million cubic metres
Cuba,2004,1600,,million cubic metres
Cyprus,2015,150,,million cubic metres
Cyprus,2014,135,,million cubic metres
Cyprus,2013,140,,million cubic metres
Cyprus,2012,155,,million cubic metres
Cyprus,2011,155,,million cubic metres
Cyprus,2010,140,,million cubic metres
Cyprus,2009,145,,million cubic metres
Cyprus,2008,130,,million cubic metres
Cyprus,2007,145,,million cubic metres
Cyprus,2006,140,,million cubic metres
Cyprus,2005,140,,million cubic metres
Cyprus,2004,172,,million cubic metres
Cyprus,2003,158,,million cubic metres
Cyprus,2002,145,,million cubic metres
Cyprus,2001,141,,million cubic metres
Cyprus,2000,146,,million cubic metres
Cyprus,1999,154.5,,million cubic metres
Cyprus,1998,142.8999939,,million cubic metres
Czechia,2015,366.3999939,,million cubic metres
Czechia,2014,361,,million cubic metres
Czechia,2013,371.2999878,,million cubic metres
Czechia,2012,379.3999939,,million cubic metres
Czechia,2011,378.2000122,,million cubic metres
Czechia,2010,377.2999878,,million cubic metres
Czechia,2009,375.7000122,,million cubic metres
Czechia,2008,380.1000061,,million cubic metres
Czechia,2007,380.6000061,,million cubic metres
Czechia,2006,379.2999878,,million cubic metres
Czechia,2005,384.7000122,,million cubic metres
Czechia,2004,401.8999939,,million cubic metres
Czechia,2003,420.7000122,,million cubic metres
Czechia,2002,540.0999756,,million cubic metres
Czechia,2001,528.9000244,,million cubic metres
Czechia,2000,554.7999878,,million cubic metres
Czechia,1999,556.7999878,,million cubic metres
Czechia,1998,546.7000122,,million cubic metres
Czechia,1997,586.5,,million cubic metres
Czechia,1996,616.7000122,,million cubic metres
Czechia,1995,719.2000122,,million cubic metres
Czechia,1990,836.0999756,,million cubic metres
Denmark,2014,737,10,million cubic metres
Denmark,2013,751,10,million cubic metres
Denmark,2012,644,,million cubic metres
Denmark,2011,966.5,,million cubic metres
Denmark,2010,649.0999756,,million cubic metres
Denmark,2009,650.2000122,,million cubic metres
Denmark,2008,688.2999878,,million cubic metres
Denmark,2007,567.2000122,,million cubic metres
Denmark,2006,670.5999756,,million cubic metres
Denmark,2005,627.5999756,,million cubic metres
Denmark,2004,659.7999878,,million cubic metres
Denmark,2003,632.5,,million cubic metres
Denmark,2002,649.5,,million cubic metres
Denmark,2001,692.9000244,,million cubic metres
Denmark,2000,709.0999756,,million cubic metres
Denmark,1999,682.5,,million cubic metres
Denmark,1998,733.7000122,,million cubic metres
Denmark,1997,916.5,,million cubic metres
Denmark,1996,951,,million cubic metres
Denmark,1995,887,,million cubic metres
Denmark,1991,907,,million cubic metres
Denmark,1990,1261,,million cubic metres
Dominica,2005,0,,million cubic metres
Dominica,2004,0,,million cubic metres
Dominica,2003,0,,million cubic metres
Dominica,2002,0,,million cubic metres
Dominica,2001,0,,million cubic metres
Dominica,2000,0,,million cubic metres
Dominica,1999,0,,million cubic metres
Dominica,1995,0,,million cubic metres
Dominica,1990,0,,million cubic metres
Ecuador,2012,779.3099976,,million cubic metres
Egypt,2015,2400,,million cubic metres
Egypt,2009,7500,,million cubic metres
Egypt,2008,7500,,million cubic metres
Egypt,2007,6474,,million cubic metres
Egypt,2006,5884,,million cubic metres
Egypt,2005,5884,,million cubic metres
Egypt,2004,5884,,million cubic metres
Estonia,2014,199,10,million cubic metres
Estonia,2013,212.8000031,,million cubic metres
Estonia,2012,273.7999878,,million cubic metres
Estonia,2011,299.1000061,,million cubic metres
Estonia,2010,296,,million cubic metres
Estonia,2009,331.7000122,,million cubic metres
Estonia,2008,329.6000061,,million cubic metres
Estonia,2007,247.8999939,,million cubic metres
Estonia,2006,236.5,,million cubic metres
Estonia,2005,273.7000122,,million cubic metres
Estonia,2004,310.3999939,,million cubic metres
Estonia,2003,267.3999939,,million cubic metres
Estonia,2002,236.3999939,,million cubic metres
Estonia,2001,271.7999878,,million cubic metres
Estonia,2000,254.6000061,,million cubic metres
Estonia,1999,299,,million cubic metres
Estonia,1998,316,,million cubic metres
Estonia,1997,322,,million cubic metres
Estonia,1996,257,,million cubic metres
Estonia,1995,350,,million cubic metres
Estonia,1994,343,,million cubic metres
Estonia,1993,352,,million cubic metres
Estonia,1992,409,,million cubic metres
Estonia,1991,464,,million cubic metres
Estonia,1990,495,,million cubic metres
Ethiopia,2001,3.700000048,"11,12",million cubic metres
Ethiopia,2000,2.869999886,"11,12",million cubic metres
Ethiopia,1999,2.579999924,"11,12",million cubic metres
Ethiopia,1998,1.75999999,"11,12",million cubic metres
Ethiopia,1997,2.180000067,"11,12",million cubic metres
Ethiopia,1996,0.959999979,"11,12",million cubic metres
Ethiopia,1995,1.190000057,"11,12",million cubic metres
Finland,2006,264,,million cubic metres
Finland,2005,284.7000122,10,million cubic metres
Finland,2004,284.7000122,,million cubic metres
Finland,2003,284.7000122,,million cubic metres
Finland,2002,284.7000122,,million cubic metres
Finland,2001,284.7000122,,million cubic metres
Finland,2000,284.7000122,,million cubic metres
Finland,1999,284.7000122,,million cubic metres
Finland,1995,256.6000061,,million cubic metres
Finland,1994,286.7000122,,million cubic metres
Finland,1993,239,,million cubic metres
Finland,1992,238,,million cubic metres
Finland,1991,227,,million cubic metres
Finland,1990,240,,million cubic metres
France,2012,5608.209961,13,million cubic metres
France,2011,5908.100098,13,million cubic metres
France,2010,5982.970215,13,million cubic metres
France,2009,6112.660156,13,million cubic metres
France,2008,5824.100098,13,million cubic metres
France,2007,5662.189941,13,million cubic metres
France,2006,6184.399902,13,million cubic metres
France,2005,6318.5,13,million cubic metres
France,2004,6425.399902,,million cubic metres
France,2003,6803.899902,,million cubic metres
France,2002,6234.299805,,million cubic metres
France,2001,6283.600098,,million cubic metres
France,2000,6259.299805,,million cubic metres
France,1994,6027,,million cubic metres
France,1993,5971,,million cubic metres
France,1992,6019,,million cubic metres
France,1991,6156,,million cubic metres
French Guiana,2013,0.357259989,,million cubic metres
French Guiana,2012,0.331833988,,million cubic metres
Georgia,2015,499,,million cubic metres
Georgia,2014,400,,million cubic metres
Georgia,2013,403,,million cubic metres
Georgia,2012,368,,million cubic metres
Georgia,2011,381,,million cubic metres
Georgia,2010,430,,million cubic metres
Georgia,2009,447,,million cubic metres
Georgia,2008,428,,million cubic metres
Georgia,2007,422,,million cubic metres
Georgia,2006,435,,million cubic metres
Georgia,2005,521.7000122,,million cubic metres
Georgia,2004,520,,million cubic metres
Georgia,2003,537,,million cubic metres
Georgia,2002,547,,million cubic metres
Georgia,2001,437,,million cubic metres
Georgia,2000,399,,million cubic metres
Georgia,1999,415,,million cubic metres
Georgia,1998,456,,million cubic metres
Georgia,1997,423.2000122,,million cubic metres
Georgia,1996,480.6000061,,million cubic metres
Georgia,1995,476,,million cubic metres
Georgia,1990,1039,,million cubic metres
Germany,2010,5841,,million cubic metres
Germany,2007,5824.700195,,million cubic metres
Germany,2004,6032.899902,,million cubic metres
Germany,2001,6203.799805,,million cubic metres
Germany,1998,6710,,million cubic metres
Germany,1995,7623,,million cubic metres
Germany,1991,7092,,million cubic metres
Greece,2015,5611.22998,,million cubic metres
Greece,2014,5610.490234,,million cubic metres
Greece,2013,5614.359863,,million cubic metres
Greece,2012,5615.140137,,million cubic metres
Greece,2011,5615.27002,,million cubic metres
Greece,2007,3651.100098,,million cubic metres
Greece,2006,3679.300049,,million cubic metres
Greece,2005,3771.600098,,million cubic metres
Greece,2004,3733.600098,,million cubic metres
Greece,2003,3721.300049,,million cubic metres
Greece,2002,3187.800049,,million cubic metres
Greece,2001,3390,,million cubic metres
Greece,2000,3453.399902,,million cubic metres
Greece,1996,3118.800049,,million cubic metres
Greece,1995,3155.600098,,million cubic metres
Greece,1993,3114.600098,,million cubic metres
Greece,1992,3013.5,,million cubic metres
Greece,1991,2612.600098,,million cubic metres
Greece,1990,2022.5,,million cubic metres
Guadeloupe,2013,17.33468246,,million cubic metres
Guadeloupe,2012,17.10383606,,million cubic metres
Guadeloupe,1996,7.039999962,,million cubic metres
Guinea,2009,28.5,14,million cubic metres
Guinea,2008,26.79999924,14,million cubic metres
Guinea,2007,4.900000095,14,million cubic metres
Guinea,2006,4.5,14,million cubic metres
Guinea,2005,4.159999847,14,million cubic metres
Guyana,2012,120.1500015,,million cubic metres
Honduras,2004,165,,million cubic metres
Honduras,2003,165,,million cubic metres
Hungary,2015,491.6549988,10,million cubic metres
Hungary,2014,475.5950012,10,million cubic metres
Hungary,2012,534.7000122,,million cubic metres
Hungary,2011,535.0999756,,million cubic metres
Hungary,2010,535.2000122,,million cubic metres
Hungary,2009,558.2000122,,million cubic metres
Hungary,2008,505.8999939,,million cubic metres
Hungary,2007,520.7000122,,million cubic metres
Hungary,2006,540.5,13,million cubic metres
Hungary,2005,566,13,million cubic metres
Hungary,2004,708,,million cubic metres
Hungary,2003,722,,million cubic metres
Hungary,2002,730,,million cubic metres
Hungary,2001,726,,million cubic metres
Hungary,2000,740,,million cubic metres
Hungary,1999,938.4000244,,million cubic metres
Hungary,1998,857.7000122,,million cubic metres
Hungary,1997,850.5999756,,million cubic metres
Hungary,1996,876.5999756,,million cubic metres
Hungary,1995,968.7000122,,million cubic metres
Hungary,1994,986.9000244,,million cubic metres
Hungary,1993,958,,million cubic metres
Hungary,1992,1118,,million cubic metres
Iceland,2014,2971,,million cubic metres
Iceland,2013,3451,,million cubic metres
Iceland,2012,3531,,million cubic metres
Iceland,2011,3475,,million cubic metres
Iceland,2010,3268,,million cubic metres
Iceland,2005,160,,million cubic metres
Iceland,2004,160,,million cubic metres
Iceland,2003,160,,million cubic metres
Iceland,2002,160,,million cubic metres
Iceland,2001,159,,million cubic metres
Iceland,2000,158,,million cubic metres
Iceland,1999,157,,million cubic metres
Iceland,1998,156,,million cubic metres
Iceland,1997,154,,million cubic metres
Iceland,1996,156,,million cubic metres
Iceland,1995,158,,million cubic metres
Iceland,1994,158,,million cubic metres
Iceland,1993,160,,million cubic metres
Iceland,1992,160,,million cubic metres
Iceland,1990,160,,million cubic metres
India,2011,245000,,million cubic metres
Iraq,2012,4000,,million cubic metres
Iraq,2011,4000,,million cubic metres
Iraq,2010,7000,,million cubic metres
Iraq,2009,7000,,million cubic metres
Iraq,2008,7000,,million cubic metres
Iraq,2007,4200,,million cubic metres
Iraq,2006,7000,,million cubic metres
Ireland,2009,196,,million cubic metres
Ireland,2007,213,,million cubic metres
Ireland,2005,364,,million cubic metres
Ireland,1994,225,,million cubic metres
Israel,2014,801,,million cubic metres
Israel,2013,651,,million cubic metres
Israel,2012,802,,million cubic metres
Israel,2011,749,,million cubic metres
Israel,2010,836,,million cubic metres
Israel,2009,834,,million cubic metres
Israel,2008,961,,million cubic metres
Israel,2007,1064,,million cubic metres
Japan,2012,9208,,million cubic metres
Japan,2011,9237,,million cubic metres
Japan,2010,9390,,million cubic metres
Japan,2009,9372,,million cubic metres
Japan,2008,9669,,million cubic metres
Japan,2007,10331,,million cubic metres
Jordan,2015,578.2999878,,million cubic metres
Jordan,2014,595.7999878,,million cubic metres
Jordan,2013,527.7999878,,million cubic metres
Jordan,2012,494.8190002,,million cubic metres
Jordan,2011,503.75,,million cubic metres
Jordan,2010,497.8999939,,million cubic metres
Jordan,2009,482.2999878,,million cubic metres
Jordan,2008,487.4190063,,million cubic metres
Jordan,2007,493.2690125,15,million cubic metres
Jordan,2006,469.6300049,,million cubic metres
Jordan,2005,506,,million cubic metres
Jordan,2004,501,,million cubic metres
Jordan,2003,520,,million cubic metres
Jordan,2002,522,,million cubic metres
Jordan,2000,473.6000061,,million cubic metres
Kazakhstan,2015,1056,,million cubic metres
Kazakhstan,2014,1052,,million cubic metres
Kazakhstan,2013,1075,,million cubic metres
Kazakhstan,2012,1133,,million cubic metres
Kazakhstan,2011,1137,,million cubic metres
Kazakhstan,2010,1186,,million cubic metres
Kazakhstan,2009,1229,,million cubic metres
Kazakhstan,2008,1290,,million cubic metres
Kazakhstan,2007,1217,,million cubic metres
Kazakhstan,2006,1173,,million cubic metres
Kazakhstan,2005,1152,,million cubic metres
Kazakhstan,2004,957,,million cubic metres
Kazakhstan,2003,1106,,million cubic metres
Kazakhstan,2002,1157,,million cubic metres
Kazakhstan,2001,1135,,million cubic metres
Kazakhstan,2000,1169,,million cubic metres
Kenya,1990,44,,million cubic metres
Kyrgyzstan,2014,225.6180115,,million cubic metres
Kyrgyzstan,2013,107.9372864,,million cubic metres
Kyrgyzstan,2012,224.8999939,,million cubic metres
Kyrgyzstan,2011,201.3000031,,million cubic metres
Kyrgyzstan,2010,324.1000061,,million cubic metres
Kyrgyzstan,2009,299,,million cubic metres
Kyrgyzstan,2008,302,,million cubic metres
Kyrgyzstan,2007,334,,million cubic metres
Kyrgyzstan,2006,306,,million cubic metres
Kyrgyzstan,2005,304,,million cubic metres
Kyrgyzstan,2004,298,,million cubic metres
Kyrgyzstan,2003,336,,million cubic metres
Kyrgyzstan,2002,342,,million cubic metres
Kyrgyzstan,2001,502,,million cubic metres
Kyrgyzstan,2000,302,,million cubic metres
Kyrgyzstan,1999,429,,million cubic metres
Kyrgyzstan,1998,526,,million cubic metres
Kyrgyzstan,1997,591,,million cubic metres
Kyrgyzstan,1996,642,,million cubic metres
Kyrgyzstan,1995,694,,million cubic metres
Kyrgyzstan,1990,1090,,million cubic metres
Latvia,2013,155.3999939,,million cubic metres
Latvia,2012,158,,million cubic metres
Latvia,2011,272.7999878,,million cubic metres
Latvia,2010,170.1000061,,million cubic metres
Latvia,2009,285.8900146,,million cubic metres
Latvia,2008,131.1600037,,million cubic metres
Latvia,2007,107.3799973,,million cubic metres
Latvia,2006,102.3000031,,million cubic metres
Latvia,2005,101.5,,million cubic metres
Latvia,2004,103.9000015,,million cubic metres
Latvia,2003,108.9000015,,million cubic metres
Latvia,2002,114.5999985,,million cubic metres
Latvia,2001,116.4000015,,million cubic metres
Latvia,2000,118.5,,million cubic metres
Latvia,1999,133.3999939,,million cubic metres
Latvia,1998,154.6999969,,million cubic metres
Latvia,1997,167,,million cubic metres
Latvia,1996,180.8999939,,million cubic metres
Latvia,1995,195.1999969,,million cubic metres
Latvia,1994,216,,million cubic metres
Latvia,1993,231,,million cubic metres
Latvia,1992,284.8999939,,million cubic metres
Latvia,1991,303,,million cubic metres
Lithuania,2015,156.9400024,,million cubic metres
Lithuania,2014,158.8760071,,million cubic metres
Lithuania,2012,132.2579956,,million cubic metres
Lithuania,2011,174.6000061,,million cubic metres
Lithuania,2010,178.8000031,,million cubic metres
Lithuania,2009,160.8999939,,million cubic metres
Lithuania,2008,170.6000061,,million cubic metres
Lithuania,2007,175.3999939,,million cubic metres
Lithuania,2006,180.3999939,,million cubic metres
Lithuania,2005,157.3999939,13,million cubic metres
Lithuania,2004,157.3999939,,million cubic metres
Lithuania,2003,168.3999939,,million cubic metres
Lithuania,2002,157.5,,million cubic metres
Lithuania,2001,157,,million cubic metres
Lithuania,2000,166,,million cubic metres
Lithuania,1999,183,,million cubic metres
Lithuania,1998,202,,million cubic metres
Lithuania,1997,234,,million cubic metres
Lithuania,1996,289,,million cubic metres
Lithuania,1995,304,,million cubic metres
Lithuania,1994,364.5,,million cubic metres
Lithuania,1993,415.8999939,,million cubic metres
Lithuania,1990,498,,million cubic metres
Luxembourg,2015,25.79999924,,million cubic metres
Luxembourg,2014,26.66900063,,million cubic metres
Luxembourg,2013,25.12999916,,million cubic metres
Luxembourg,2012,20.89999962,,million cubic metres
Luxembourg,2011,22.39999962,,million cubic metres
Luxembourg,2010,23.29999924,,million cubic metres
Luxembourg,2009,27,,million cubic metres
Luxembourg,1999,31.60000038,,million cubic metres
Luxembourg,1995,29,,million cubic metres
Madagascar,2007,28.39999962,,million cubic metres
Madagascar,2000,28.39999962,,million cubic metres
Malaysia,2015,92.8695755,,million cubic metres
Malaysia,2014,89.20172119,,million cubic metres
Malaysia,2013,79.7674942,,million cubic metres
Malaysia,2012,82.48862457,,million cubic metres
Malaysia,2011,81.36799622,,million cubic metres
Malaysia,2010,74.33989716,,million cubic metres
Malaysia,2009,75.23537445,,million cubic metres
Malaysia,2008,71.24158478,,million cubic metres
Malaysia,2007,67.66770172,,million cubic metres
Mali,2015,18.45503426,,million cubic metres
Mali,2014,17.37730217,,million cubic metres
Mali,2013,15.60238171,,million cubic metres
Mali,2012,14.24923325,,million cubic metres
Mali,2011,13.43742657,,million cubic metres
Mali,2010,13.80881596,,million cubic metres
Malta,2015,42.68000031,,million cubic metres
Malta,2014,43.81000137,,million cubic metres
Malta,2013,45.31000137,,million cubic metres
Malta,2012,39.84999847,,million cubic metres
Malta,2011,38.11000061,,million cubic metres
Malta,2010,40.93999863,,million cubic metres
Malta,2009,31.71999931,,million cubic metres
Malta,2008,35.83000183,,million cubic metres
Malta,2007,36.75999832,,million cubic metres
Malta,2006,32.50999832,,million cubic metres
Malta,2005,32.40000153,,million cubic metres
Malta,2004,31.5,,million cubic metres
Malta,2003,31.79999924,,million cubic metres
Malta,2002,35.20000076,,million cubic metres
Malta,2001,36.29999924,,million cubic metres
Malta,1999,18.79999924,,million cubic metres
Malta,1998,18.29999924,,million cubic metres
Malta,1997,20.39999962,,million cubic metres
Malta,1996,21.5,,million cubic metres
Malta,1995,39,,million cubic metres
Martinique,2013,3.042054892,,million cubic metres
Martinique,2012,3.310719967,,million cubic metres
Martinique,2011,3.670731544,,million cubic metres
Martinique,2010,4.77519989,,million cubic metres
Martinique,2009,1.653300047,,million cubic metres
Martinique,2006,3.84179616,,million cubic metres
Martinique,2005,3.508889914,,million cubic metres
Martinique,1997,0.920000017,,million cubic metres
Mauritius,2015,145,,million cubic metres
Mauritius,2014,131,,million cubic metres
Mauritius,2013,121,,million cubic metres
Mauritius,2012,122,,million cubic metres
Mauritius,2011,122,,million cubic metres
Mauritius,2010,124,,million cubic metres
Mauritius,2009,121,,million cubic metres
Mauritius,2008,119,,million cubic metres
Mauritius,2007,112,,million cubic metres
Mauritius,2006,154,,million cubic metres
Mauritius,2005,150,,million cubic metres
Mauritius,2004,150,,million cubic metres
Mauritius,2003,148,,million cubic metres
Mauritius,2002,148,,million cubic metres
Mauritius,2001,145,,million cubic metres
Mauritius,2000,145,,million cubic metres
Mauritius,1999,111,,million cubic metres
Mauritius,1998,131,,million cubic metres
Mauritius,1997,114,,million cubic metres
Mauritius,1996,115,,million cubic metres
Mauritius,1995,125,,million cubic metres
Mauritius,1990,98,,million cubic metres
Mexico,2014,32906.10938,,million cubic metres
Mexico,2013,30374.24609,,million cubic metres
Mexico,2012,31783.14648,,million cubic metres
Mexico,2011,30613.78516,,million cubic metres
Mexico,2010,30204.82031,,million cubic metres
Mexico,2009,30107.23633,,million cubic metres
Mexico,2008,29528.78906,10,million cubic metres
Mexico,2007,28936.5625,,million cubic metres
Monaco,2015,1.975999951,,million cubic metres
Monaco,2014,2.562000036,,million cubic metres
Monaco,2013,2.596999884,,million cubic metres
Monaco,2012,1.580000043,,million cubic metres
Monaco,2011,2.279999971,,million cubic metres
Monaco,2010,2.589999914,,million cubic metres
Monaco,2009,2.49000001,,million cubic metres
Monaco,2008,1.610000014,,million cubic metres
Monaco,2007,1.070000052,,million cubic metres
Monaco,2006,1.549999952,,million cubic metres
Monaco,2005,1.333403945,,million cubic metres
Monaco,2004,1.665372968,,million cubic metres
Monaco,2003,1.779371977,,million cubic metres
Monaco,2002,1.832609057,,million cubic metres
Monaco,2001,2.327685118,,million cubic metres
Monaco,2000,2.016366959,,million cubic metres
Monaco,1999,1.681105018,,million cubic metres
Monaco,1998,1.789999962,,million cubic metres
Monaco,1997,1.929999948,,million cubic metres
Monaco,1996,2.460000038,,million cubic metres
Monaco,1995,1.813212991,,million cubic metres
Monaco,1990,0.860000014,,million cubic metres
Morocco,2015,5000,,million cubic metres
Morocco,2014,5000,,million cubic metres
Morocco,2010,4100,,million cubic metres
Morocco,2009,4100,,million cubic metres
Morocco,2008,4100,,million cubic metres
Morocco,2007,4100,,million cubic metres
Morocco,2006,4100,,million cubic metres
Morocco,2005,4100,,million cubic metres
Morocco,2004,4100,,million cubic metres
Morocco,2003,3000,,million cubic metres
Morocco,2002,2907,,million cubic metres
Morocco,2001,2870,,million cubic metres
Morocco,2000,3166,,million cubic metres
Netherlands,2012,940.2999878,,million cubic metres
Netherlands,2011,983,,million cubic metres
Netherlands,2010,994.4000244,,million cubic metres
Netherlands,2009,1016.200012,,million cubic metres
Netherlands,2008,983.9000244,,million cubic metres
Netherlands,2007,995.5999756,,million cubic metres
Netherlands,2006,1056,,million cubic metres
Netherlands,2005,1010,,million cubic metres
Netherlands,2004,1023,,million cubic metres
Netherlands,2003,1132,,million cubic metres
Netherlands,2001,976.5,,million cubic metres
Netherlands,1996,1152.900024,,million cubic metres
Netherlands,1991,1049,,million cubic metres
Netherlands,1990,1049,,million cubic metres
New Zealand,2010,1673.5,,million cubic metres
Oman,2000,1004,,million cubic metres
Oman,1995,949,,million cubic metres
Oman,1990,899,,million cubic metres
Panama,2015,35.05792236,16,million cubic metres
Panama,2014,33.20016098,16,million cubic metres
Panama,2013,32.14519501,16,million cubic metres
Panama,2012,32.58510971,16,million cubic metres
Panama,2011,66.98131561,16,million cubic metres
Panama,2010,30.30999947,16,million cubic metres
Panama,2009,27.29999924,16,million cubic metres
Panama,2008,28.11000061,16,million cubic metres
Panama,2007,24.20999908,16,million cubic metres
Panama,2006,25.84000015,16,million cubic metres
Panama,2005,6.309999943,16,million cubic metres
Panama,2004,31.11000061,16,million cubic metres
Panama,2003,31.21999931,16,million cubic metres
Panama,2002,31.92000008,16,million cubic metres
Panama,2001,32.52000046,16,million cubic metres
Panama,2000,34.31999969,16,million cubic metres
Peru,2015,122.8000031,17,million cubic metres
Peru,2014,124.8000031,17,million cubic metres
Peru,2013,121.8000031,17,million cubic metres
Peru,2012,117.8000031,17,million cubic metres
Peru,2011,115.8000031,17,million cubic metres
Peru,2010,118.4000015,17,million cubic metres
Peru,2009,108.4000015,17,million cubic metres
Peru,2008,133.3999939,17,million cubic metres
Peru,2007,105.5999985,17,million cubic metres
Peru,2006,139.3000031,17,million cubic metres
Peru,2005,151.3000031,17,million cubic metres
Peru,2004,174.5,17,million cubic metres
Peru,2003,127.4000015,17,million cubic metres
Peru,2002,163.6000061,17,million cubic metres
Peru,2001,176.6000061,17,million cubic metres
Peru,2000,190.3000031,17,million cubic metres
Peru,1999,217.1000061,17,million cubic metres
Peru,1998,232,17,million cubic metres
Peru,1997,262.3999939,17,million cubic metres
Peru,1996,247.3000031,17,million cubic metres
Peru,1995,254.3000031,17,million cubic metres
Peru,1994,235.3999939,17,million cubic metres
Peru,1993,230.1000061,17,million cubic metres
Peru,1992,207.3000031,17,million cubic metres
Peru,1991,226.6999969,17,million cubic metres
Peru,1990,214.6000061,17,million cubic metres
Philippines,2015,3893.803711,,million cubic metres
Philippines,2014,3821.942139,,million cubic metres
Philippines,2013,3737.026611,,million cubic metres
Philippines,2012,3588.622314,,million cubic metres
Philippines,2011,3511.881104,,million cubic metres
Philippines,2010,3430.984131,,million cubic metres
Philippines,2009,3448.590088,,million cubic metres
Philippines,2008,3368.984131,,million cubic metres
Philippines,2007,3231.199463,,million cubic metres
Philippines,2006,3109.768311,,million cubic metres
Philippines,2005,3049.392822,,million cubic metres
Philippines,2004,2904.716797,,million cubic metres
Philippines,2003,2784.957764,,million cubic metres
Philippines,2002,2717.957764,,million cubic metres
Philippines,2001,2573.870605,,million cubic metres
Philippines,2000,2488.501709,,million cubic metres
Philippines,1999,2426.656494,,million cubic metres
Philippines,1998,2320.28418,,million cubic metres
Philippines,1997,2172.039551,,million cubic metres
Philippines,1996,2057.56665,,million cubic metres
Philippines,1995,1932.586792,,million cubic metres
Philippines,1990,1313.938721,,million cubic metres
Poland,2015,2607.5,,million cubic metres
Poland,2014,2577.5,,million cubic metres
Poland,2013,2608.199951,,million cubic metres
Poland,2012,2644.5,,million cubic metres
Poland,2011,2732.600098,,million cubic metres
Poland,2010,2721.800049,,million cubic metres
Poland,2009,2586.199951,,million cubic metres
Poland,2008,2638.199951,,million cubic metres
Poland,2007,2670.899902,,million cubic metres
Poland,2006,2831.199951,,million cubic metres
Poland,2005,2632.5,,million cubic metres
Poland,2004,2503.699951,,million cubic metres
Poland,2003,2525.800049,,million cubic metres
Poland,2002,2661.5,,million cubic metres
Poland,2001,2699.600098,,million cubic metres
Poland,2000,2843.199951,,million cubic metres
Poland,1999,2906.399902,,million cubic metres
Poland,1998,2632.699951,,million cubic metres
Poland,1997,2870.600098,,million cubic metres
Poland,1996,2826.199951,,million cubic metres
Poland,1995,2846.199951,,million cubic metres
Poland,1994,2993.800049,,million cubic metres
Poland,1993,2895,,million cubic metres
Poland,1992,3034.699951,,million cubic metres
Poland,1991,2959,,million cubic metres
Poland,1990,3236.699951,,million cubic metres
Portugal,2007,4794,10,million cubic metres
Portugal,1998,6290,,million cubic metres
Portugal,1990,3065,,million cubic metres
Qatar,2012,250.2100067,18,million cubic metres
Qatar,2011,249.5299988,18,million cubic metres
Qatar,2010,248.2200012,18,million cubic metres
Qatar,2009,247.0550232,18,million cubic metres
Qatar,2008,248.6716003,18,million cubic metres
Qatar,2007,246.6660767,18,million cubic metres
Qatar,2006,246.6733093,18,million cubic metres
Qatar,2005,247.5649567,18,million cubic metres
Qatar,2004,220.2964325,18,million cubic metres
Qatar,2003,217.539917,18,million cubic metres
Qatar,2002,231.7704163,18,million cubic metres
Qatar,2001,236.4981232,18,million cubic metres
Republic of Korea,2015,4094,,million cubic metres
Republic of Korea,2014,4085,,million cubic metres
Republic of Korea,2013,4071,,million cubic metres
Republic of Korea,2012,3990,,million cubic metres
Republic of Korea,2011,3907,,million cubic metres
Republic of Korea,2010,3807,,million cubic metres
Republic of Korea,2009,3807,,million cubic metres
Republic of Korea,2008,3784,,million cubic metres
Republic of Korea,2007,3725,,million cubic metres
Republic of Moldova,2015,128,,million cubic metres
Republic of Moldova,2014,127,,million cubic metres
Republic of Moldova,2013,128,,million cubic metres
Republic of Moldova,2012,129,,million cubic metres
Republic of Moldova,2011,130,,million cubic metres
Republic of Moldova,2010,130,,million cubic metres
Republic of Moldova,2009,129,,million cubic metres
Republic of Moldova,2008,127,,million cubic metres
Republic of Moldova,2007,129,,million cubic metres
Republic of Moldova,2006,136,,million cubic metres
Republic of Moldova,2005,136,,million cubic metres
Republic of Moldova,2004,135,,million cubic metres
Republic of Moldova,2003,135,,million cubic metres
Republic of Moldova,2002,132,,million cubic metres
Republic of Moldova,2001,138,,million cubic metres
Republic of Moldova,2000,168,,million cubic metres
Republic of Moldova,1999,169,,million cubic metres
Republic of Moldova,1998,191,,million cubic metres
Republic of Moldova,1997,193,,million cubic metres
Republic of Moldova,1996,226,,million cubic metres
Republic of Moldova,1995,244,,million cubic metres
Republic of Moldova,1990,311,,million cubic metres
Réunion,2015,73.89602661,,million cubic metres
Réunion,2014,76.24749756,,million cubic metres
Réunion,2013,109.1801758,19,million cubic metres
Réunion,2012,117.7691574,19,million cubic metres
Romania,2015,590,,million cubic metres
Romania,2014,554,,million cubic metres
Romania,2013,581,,million cubic metres
Romania,2012,598,,million cubic metres
Romania,2011,600,,million cubic metres
Romania,2010,624,,million cubic metres
Romania,2009,628,,million cubic metres
Romania,2008,659,,million cubic metres
Romania,2007,644,,million cubic metres
Romania,2006,650,,million cubic metres
Romania,2005,724,,million cubic metres
Romania,2004,760,,million cubic metres
Romania,2003,811,,million cubic metres
Romania,2002,860,,million cubic metres
Romania,2001,990,,million cubic metres
Romania,2000,1107,,million cubic metres
Romania,1999,1134,,million cubic metres
Romania,1998,1208,,million cubic metres
Romania,1997,1260,,million cubic metres
Romania,1996,1300,,million cubic metres
Romania,1995,1280,,million cubic metres
Romania,1994,1230,,million cubic metres
Romania,1993,1350,,million cubic metres
Romania,1992,1510,,million cubic metres
Romania,1991,1948,,million cubic metres
Romania,1990,2840,,million cubic metres
Russian Federation,2013,8907,,million cubic metres
Russian Federation,2012,9126,,million cubic metres
Russian Federation,2011,9156,,million cubic metres
Russian Federation,2010,9364,,million cubic metres
Russian Federation,2009,9771,,million cubic metres
Russian Federation,2008,10090,,million cubic metres
Russian Federation,2007,10223,,million cubic metres
Russian Federation,2006,10286,,million cubic metres
Russian Federation,2005,10603,,million cubic metres
Russian Federation,2004,10821,,million cubic metres
Russian Federation,2003,11013,,million cubic metres
Russian Federation,2002,11285,,million cubic metres
Russian Federation,2001,11569,,million cubic metres
Russian Federation,2000,11662,,million cubic metres
Russian Federation,1999,11624,,million cubic metres
Russian Federation,1998,11937,,million cubic metres
Russian Federation,1997,12425,,million cubic metres
Russian Federation,1996,12926,,million cubic metres
Russian Federation,1995,13636,,million cubic metres
Russian Federation,1990,14638,,million cubic metres
Saint Kitts and Nevis,2012,3.483999968,,million cubic metres
Saint Kitts and Nevis,2011,3.709000111,,million cubic metres
Saint Kitts and Nevis,2010,3.082000017,,million cubic metres
Saint Kitts and Nevis,2009,2.15199995,,million cubic metres
Saint Kitts and Nevis,2008,2.493999958,,million cubic metres
Saint Kitts and Nevis,2007,2.796000004,,million cubic metres
Saint Kitts and Nevis,2006,3.086999893,,million cubic metres
Saint Kitts and Nevis,2005,2.984999895,,million cubic metres
Saint Kitts and Nevis,2004,2.028000116,,million cubic metres
Saint Kitts and Nevis,2003,1.549999952,,million cubic metres
Saint Kitts and Nevis,2002,1.68599999,,million cubic metres
Saint Kitts and Nevis,2001,1.726999998,,million cubic metres
Saudi Arabia,2016,21595,,million cubic metres
Saudi Arabia,2015,22647.63086,,million cubic metres
Saudi Arabia,2014,21351.63086,,million cubic metres
Saudi Arabia,2013,20395.03516,,million cubic metres
Saudi Arabia,2012,18940.23438,,million cubic metres
Saudi Arabia,2011,17299.2793,,million cubic metres
Saudi Arabia,2010,15790.87988,,million cubic metres
Senegal,2007,9000,,million cubic metres
Senegal,2006,9000,,million cubic metres
Senegal,2005,9000,,million cubic metres
Serbia,2015,469,,million cubic metres
Serbia,2014,459,,million cubic metres
Serbia,2013,479,,million cubic metres
Serbia,2012,507,,million cubic metres
Serbia,2011,503,,million cubic metres
Serbia,2010,514,,million cubic metres
Serbia,2009,519,,million cubic metres
Serbia,2008,522,,million cubic metres
Serbia,2007,532,,million cubic metres
Serbia,2006,543,,million cubic metres
Serbia,2005,554,,million cubic metres
Serbia,2004,550,,million cubic metres
Serbia,2003,534,,million cubic metres
Serbia,2002,548,,million cubic metres
Serbia,2001,547,,million cubic metres
Serbia,2000,548,,million cubic metres
Slovakia,2015,325.7999878,,million cubic metres
Slovakia,2014,321.2999878,,million cubic metres
Slovakia,2013,329.2000122,,million cubic metres
Slovakia,2012,338.8999939,,million cubic metres
Slovakia,2011,334.3999939,,million cubic metres
Slovakia,2010,341.2000122,,million cubic metres
Slovakia,2009,348.2999878,,million cubic metres
Slovakia,2008,350.7000122,,million cubic metres
Slovakia,2007,358.3999939,,million cubic metres
Slovakia,2006,367.8999939,,million cubic metres
Slovakia,2005,374.2999878,,million cubic metres
Slovakia,2004,385.7999878,,million cubic metres
Slovakia,2003,419.6000061,,million cubic metres
Slovakia,2002,410.3999939,,million cubic metres
Slovakia,2001,422.5,,million cubic metres
Slovakia,2000,448.3999939,,million cubic metres
Slovakia,1999,465,,million cubic metres
Slovakia,1998,493,,million cubic metres
Slovakia,1997,498,,million cubic metres
Slovakia,1996,541,,million cubic metres
Slovakia,1995,578,,million cubic metres
Slovakia,1994,605,,million cubic metres
Slovakia,1993,639,,million cubic metres
Slovakia,1992,686,,million cubic metres
Slovakia,1991,676,,million cubic metres
Slovakia,1990,728,,million cubic metres
Slovenia,2015,181.6000061,,million cubic metres
Slovenia,2014,181.8000031,,million cubic metres
Slovenia,2013,181.0700073,20,million cubic metres
Slovenia,2012,179.6300049,,million cubic metres
Slovenia,2011,184.6999969,,million cubic metres
Slovenia,2010,185.1999969,,million cubic metres
Slovenia,2009,190.1000061,,million cubic metres
Slovenia,2008,186.1000061,,million cubic metres
Slovenia,2007,190.5,,million cubic metres
Slovenia,2006,189.5,,million cubic metres
Slovenia,2005,184.3000031,,million cubic metres
Slovenia,2004,183.6000061,,million cubic metres
Slovenia,2003,199.6000061,,million cubic metres
Slovenia,2002,207.8999939,,million cubic metres
Slovenia,1999,147.6999969,,million cubic metres
Slovenia,1998,153.5,,million cubic metres
Slovenia,1997,159.1000061,,million cubic metres
Slovenia,1996,162.5,,million cubic metres
Slovenia,1994,170.1000061,,million cubic metres
Slovenia,1993,174.1999969,,million cubic metres
Slovenia,1992,166.6999969,,million cubic metres
Slovenia,1991,169.3999939,,million cubic metres
South Africa,2000,1088,,million cubic metres
Spain,2014,6303.699219,,million cubic metres
Spain,2012,6884,,million cubic metres
Spain,2011,6598,,million cubic metres
Spain,2010,6601,,million cubic metres
Spain,2009,6732,,million cubic metres
Spain,2008,6174,,million cubic metres
Spain,2007,6496,,million cubic metres
Spain,2006,6302.799805,,million cubic metres
Spain,2005,6387.299805,,million cubic metres
Spain,2004,6027.100098,,million cubic metres
Spain,2003,6072.5,,million cubic metres
Spain,2002,5897.100098,,million cubic metres
Spain,2001,5771,,million cubic metres
Spain,2000,5965.299805,,million cubic metres
Spain,1999,4751.200195,,million cubic metres
Spain,1998,4504.200195,,million cubic metres
Spain,1997,4249.799805,,million cubic metres
Spain,1995,5408,,million cubic metres
Spain,1993,5600,,million cubic metres
Spain,1991,5500,,million cubic metres
Sri Lanka,2001,7250,21,million cubic metres
State of Palestine,2015,291.2000122,,million cubic metres
State of Palestine,2014,274.5,,million cubic metres
State of Palestine,2013,302.3999939,,million cubic metres
State of Palestine,2012,292.6000061,,million cubic metres
State of Palestine,2011,266.8999939,,million cubic metres
State of Palestine,2010,270.7999878,,million cubic metres
State of Palestine,2009,257.7999878,,million cubic metres
State of Palestine,2008,250.8999939,,million cubic metres
State of Palestine,2007,286,,million cubic metres
State of Palestine,2006,275.2000122,,million cubic metres
State of Palestine,2005,268,,million cubic metres
State of Palestine,2004,249,,million cubic metres
State of Palestine,2002,241,,million cubic metres
State of Palestine,2001,207,,million cubic metres
Sweden,2010,348,,million cubic metres
Sweden,2007,346,,million cubic metres
Sweden,2006,346,,million cubic metres
Sweden,2005,346,,million cubic metres
Sweden,2004,628,,million cubic metres
Sweden,2003,628,,million cubic metres
Sweden,2002,628,,million cubic metres
Sweden,2001,628,,million cubic metres
Sweden,2000,635,,million cubic metres
Sweden,1999,654,,million cubic metres
Sweden,1998,654,,million cubic metres
Sweden,1997,654,,million cubic metres
Sweden,1996,661,,million cubic metres
Sweden,1995,661,,million cubic metres
Sweden,1994,642,,million cubic metres
Sweden,1993,639,,million cubic metres
Sweden,1992,627,,million cubic metres
Sweden,1991,615,,million cubic metres
Sweden,1990,608,,million cubic metres
Switzerland,2012,1005.299988,10,million cubic metres
Switzerland,1999,875.0999756,,million cubic metres
Switzerland,1998,876.9000244,,million cubic metres
Switzerland,1997,880.0999756,,million cubic metres
Switzerland,1996,861.2999878,,million cubic metres
Switzerland,1995,891.9000244,,million cubic metres
Switzerland,1994,902,,million cubic metres
Switzerland,1993,842,,million cubic metres
Switzerland,1992,980,,million cubic metres
Switzerland,1991,974,,million cubic metres
Switzerland,1990,941,,million cubic metres
The former Yugoslav Republic of Macedonia,2014,1671.800049,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2013,565.5,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2012,212.8000031,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2011,535.7000122,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2010,662.2999878,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2009,374.7999878,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2008,149.8000031,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2007,172.1000061,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2006,1276.199951,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2005,329.7000122,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2004,765.2000122,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2003,298.2999878,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2002,8.600000381,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2001,12.30000019,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,2000,14.30000019,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,1995,32.70000076,"22,23",million cubic metres
The former Yugoslav Republic of Macedonia,1990,158.6000061,"22,23",million cubic metres
Trinidad and Tobago,2016,95.40000153,24,million cubic metres
Trinidad and Tobago,2015,88.5,24,million cubic metres
Trinidad and Tobago,2014,93,24,million cubic metres
Trinidad and Tobago,2013,106.0999985,,million cubic metres
Trinidad and Tobago,2010,102.3000031,,million cubic metres
Trinidad and Tobago,2009,98.09999847,,million cubic metres
Trinidad and Tobago,2008,109.1200027,24,million cubic metres
Trinidad and Tobago,2007,105.1900024,24,million cubic metres
Trinidad and Tobago,2006,102.2300034,24,million cubic metres
Trinidad and Tobago,2005,95.83999634,24,million cubic metres
Trinidad and Tobago,2004,86.38999939,25,million cubic metres
Trinidad and Tobago,2003,85.12999725,25,million cubic metres
Trinidad and Tobago,2002,92.61000061,24,million cubic metres
Trinidad and Tobago,2001,95.37000275,24,million cubic metres
Trinidad and Tobago,2000,89.26999664,24,million cubic metres
Trinidad and Tobago,1999,85.36000061,24,million cubic metres
Tunisia,2013,2330,,million cubic metres
Tunisia,2012,2269,,million cubic metres
Tunisia,2011,2200,,million cubic metres
Tunisia,2010,2175,,million cubic metres
Tunisia,2009,2016,,million cubic metres
Tunisia,2008,2009,,million cubic metres
Tunisia,2007,1985,,million cubic metres
Tunisia,2006,1978,,million cubic metres
Tunisia,2005,1951,,million cubic metres
Tunisia,2004,1905,,million cubic metres
Tunisia,2003,1887,,million cubic metres
Tunisia,2002,1913,,million cubic metres
Tunisia,2001,1887,,million cubic metres
Tunisia,2000,1865,,million cubic metres
Tunisia,1999,1850,,million cubic metres
Tunisia,1995,1736,,million cubic metres
Tunisia,1990,1535,,million cubic metres
Turkey,2014,14600,,million cubic metres
Turkey,2013,13560,10,million cubic metres
Turkey,2012,13560,10,million cubic metres
Turkey,2011,13560,10,million cubic metres
Turkey,2010,13138,10,million cubic metres
Turkey,2009,12811,10,million cubic metres
Turkey,2008,12419,10,million cubic metres
Turkey,2007,12096,10,million cubic metres
Turkey,2006,11882,10,million cubic metres
Turkey,2005,11622,10,million cubic metres
Turkey,2004,11443,,million cubic metres
Turkey,2003,11176,,million cubic metres
Turkey,2002,10990,,million cubic metres
Turkey,2001,10670,,million cubic metres
Turkey,2000,10350,,million cubic metres
Turkey,1999,10050,,million cubic metres
Turkey,1998,9650,,million cubic metres
Turkey,1997,9330,,million cubic metres
Turkey,1996,8820,,million cubic metres
Turkey,1995,8450,,million cubic metres
Turkey,1990,3770,,million cubic metres
Ukraine,2015,1286,,million cubic metres
Ukraine,2014,1503,,million cubic metres
Ukraine,2013,1911,,million cubic metres
Ukraine,2012,1961,,million cubic metres
Ukraine,2011,1961,,million cubic metres
Ukraine,2010,2023,,million cubic metres
Ukraine,2009,2007,26,million cubic metres
Ukraine,2008,2175,26,million cubic metres
Ukraine,2007,2315,26,million cubic metres
Ukraine,2006,2409,26,million cubic metres
Ukraine,2005,2450,26,million cubic metres
Ukraine,2004,2509,26,million cubic metres
Ukraine,2003,2560,26,million cubic metres
Ukraine,2002,2673,26,million cubic metres
Ukraine,2001,2750,26,million cubic metres
Ukraine,2000,2987,26,million cubic metres
Ukraine,1999,3199,26,million cubic metres
Ukraine,1998,3363,26,million cubic metres
Ukraine,1997,3671,26,million cubic metres
Ukraine,1996,4042,26,million cubic metres
Ukraine,1995,4305,26,million cubic metres
Ukraine,1990,5200,26,million cubic metres
United Arab Emirates,2015,3084.60498,27,million cubic metres
United Arab Emirates,2014,1787,27,million cubic metres
United Arab Emirates,2013,1823,27,million cubic metres
United Arab Emirates,2012,1905,27,million cubic metres
United Arab Emirates,2011,2062,27,million cubic metres
United Arab Emirates,2010,2157,27,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2014,2052.800049,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2012,2046,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2011,2158.699951,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2010,2152.300049,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2009,2162.800049,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2008,2139.199951,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2007,2197.100098,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2006,2265.699951,,million cubic metres
United Kingdom of Great Britain and Northern Ireland,2005,2335.699951,,million cubic metres
United States of America,2010,109566.8516,,million cubic metres
Uzbekistan,2015,539,,million cubic metres
Uzbekistan,2014,476,,million cubic metres
Uzbekistan,2013,402,,million cubic metres
Uzbekistan,2012,371,,million cubic metres
Uzbekistan,2011,538,,million cubic metres
Uzbekistan,2010,500,,million cubic metres
Uzbekistan,2009,509,,million cubic metres
Uzbekistan,2008,678,,million cubic metres
Uzbekistan,2007,423,,million cubic metres
Uzbekistan,2006,481,,million cubic metres
Uzbekistan,2005,424,,million cubic metres
Uzbekistan,2004,467,,million cubic metres
Uzbekistan,1990,511,,million cubic metres
Venezuela (Bolivarian Republic of),2009,20509.23047,28,million cubic metres
Venezuela (Bolivarian Republic of),2008,19874.42578,28,million cubic metres
Venezuela (Bolivarian Republic of),2007,18369.85156,28,million cubic metres
Venezuela (Bolivarian Republic of),2006,15275.11523,28,million cubic metres
Venezuela (Bolivarian Republic of),2005,12180.37988,28,million cubic metres
Venezuela (Bolivarian Republic of),2004,10382.00586,28,million cubic metres
Venezuela (Bolivarian Republic of),2003,8519.460938,28,million cubic metres
Venezuela (Bolivarian Republic of),2002,5612.629395,28,million cubic metres
Venezuela (Bolivarian Republic of),2001,6598.778809,28,million cubic metres
Venezuela...
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