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Ireland

  • President:Michael D. Higgins
  • Prime Minister:Leo Varadkar
  • Capital city:Dublin
  • Languages:English (official, the language generally used), Irish (Gaelic or Gaeilge) (official, spoken by approximately 38.7% of the population as a first or second language in 2011; mainly spoken in areas along the western coast)
  • Government
  • National statistics office
  • Population, persons:48,53,506 (2018)
  • Area, sq km:68,890
  • GDP per capita, US$:77,450 (2018)
  • GDP, billion current US$:375.9 (2018)
  • GINI index:No data
  • Ease of Doing Business rank:23
All datasets:  A B D E F G I M N P R S T U W
  • A
    • अक्तूबर 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 अक्तूबर, 2019
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      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • अक्तूबर 2016
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 अक्तूबर, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • सितम्बर 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 04 सितम्बर, 2019
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      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • जनवरी 2014
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • अगस्त 2015
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 25 मार्च, 2019
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      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
  • B
  • D
  • E
    • जुलाई 2013
      Source: Earth Policy Institute
      Uploaded by: Knoema
      Accessed On: 08 जुलाई, 2013
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      Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
    • नवम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
  • F
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अक्तूबर 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 15 अक्तूबर, 2019
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      This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries. Water abstractions are a major pressure on freshwater resources, particularly from public water supplies, irrigation, industrial processes and cooling of electric power plants. It has significant implications for issues of quantity and quality of water resources. This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total withdrawal. When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by Member countries may vary considerably among countries.
    • मार्च 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 दिसम्बर, 2018
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      Austria: Long-term annual average 1961-90 Belgium: Data exclude underground flows and include estimates Canada: Long-term annual average 1971-2004 Chile: Long-term annual average 2000-2014 Colombia: Long-term annual average 1974-2012 Czech Republic: The long-term annual average refers to the latest 20 years Denmark: Long-term annual average 1995-2015 Estonia: Long-term annual average refers to the latest 30 years and includes only data about fresh surface water France: Long-term annual average : 1981-2010. Inflow and outflow: outflow is computed using the throughput of rivers having their source in France but the mouth outside France; measures are taken at the French border using the daily throughputs. Precipitation and real evapotranspiration data are derived from a gridded atmospheric model (grid point of 8 by 8 km2) applied to the territory of metropolitan France. Germany: Long-term annual average 1995-2015 Hungary: Long-term annual average 1971-2000 Ireland: Long-term annual average 1981-2010. Groundwater figures are not available and therefore are not included. Israel: Long-term annual average 2000-2013 Italy: Long-term annual average 1971-2000 Japan: Long-term annual average 1971-2006 Korea: Long-term annual average 1974-2003 Latvia: Long-term annual average 2005-2013 Lithuania: Long-term annual average 2000-2014 Mexico: The long-term annual average covers 30 years Netherlands: Long-term annual average 1981-2010 New Zealand: Long-term annual average 1995-2014 Norway: The data for precipitation and evotranspiration refer to the period LTAA (long-term annual average) 1961-90 whereas the others to the period LTAA 1981-2010, that is why precipitation minus evotranspiration is different from internal resources. Poland: Long-term annual average 1951-2014. Estimates on the base of mean annual flow. For more information, see: http://www.kzgw.gov.pl/ , http://www.pgi.gov.pl/ , http://www.psh.gov.pl/ , http://www.imgw.pl/ Slovak Republic: Long-term annual average is 1961-1990 for internal resources, 1961-2000 for external inflow Slovenia: Long-term annual average is 1971-2000 Sweden: Long-term annual average : 1990-2009. The difference between precipitation and evapotranspiration refers to storage Switzerland: Long-term annual average : 1981-2010 Turkey: Long-term annual average: data for internal flow refers to the period 1980-2011 Costa Rica: The long-term annual average refers to 1990-2014 Russia: The long-term annual average refers to 1936-1980
  • G
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, connection rates of resident population to wastewater treatment, sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, connection rates of resident population to wastewater treatment, sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
  • I
    • अक्तूबर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: International virtual water flow statistics  Publication: https://waterfootprint.org/en/resources/waterstat/international-virtual-water-flow-statistics/ Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) The water footprint of humanity, Proceedings of the National Academy of Sciences, 109(9): 3232–3237 License: https://creativecommons.org/licenses/by-sa/3.0/
    • मार्च 2009
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
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      The domain EUROFARM (ef) contains information (statistical tables) on structure of agricultural holdings collected through agricultural structure surveys. The data of the domain have been organised into two collections: Results of the farm structure surveys contains data from 1990 onwards based on the 1988 legislation andResults of the farm structure surveys based on the legislation from 2008. This collection contains the data from the 2010 Census onwards as well as the data for the surveys 2007 and 2005. Farm Structure Survey data are used to collect information on agricultural holdings in the Member States at different geographic levels (Member States, regions, districts) and over periods (follow up the changes in agricultural sector), thus provide a base for decision making in the Common Agricultural Policy. Two kinds of Farm Structure Survey (FSS) are carried out by Member States: a basic survey (full scope Agricultural Census - AC) every 10 years,several sample based intermediate surveys between them. However for certain characteristics the Member States may use sample base for every survey. The calendar for the surveys to be held in all Member States is agreed by the Agricultural Statistics Committee of the European Commission. For a given survey year, Member States have to conduct their surveys within the agreed time-frame, thus all the data are as comparable as possible. The FSS are organised in all Member States on a harmonised base. Whereas the characteristics are based on community legislation, the same data are available for all countries in case of each survey. The data on individual agricultural holdings are collected by all Member States and sent to Eurostat. The aggregated results are disseminated through statistical tables. The variables are arranged into groups: general overview with key variables,and other specialized groups containing detailed data onland uselivestockfarm labour forcerural development issues as well as management and practices. The 2010 survey additionally provides the results of the survey on agricultural production methods (SAPM). The scope of the survey is agriculture, while the survey unit is the agricultural holding (farm). Data for basic surveys are available in a three-level geographical breakdown of the whole country, the regions and the district; while data for intermediate surveys are only available upon the two-levels of country and regions. Since FSS 1999/2000 information about local farm location is collected in most countries, so that the data can also be disseminated by NUTS and are robust regarding the changes in the NUTS definition. The FSS 2009/2010 information is inline with the NUTS 2010 classification: Regulation (EU) No 31/2011 amending the NUTS classification from January 2003. The Eurofarm domain does not cover the whole territory only the land covered by the agricultural holdings. So the land use data without link with other farm characteristics should be downloaded by the user from the relevant domain. Specific national data about crops, animals or agricultural labour force can be found in other domains, without link between the other information at farm level. For a comprehensive description of the domain, please consult detailed structure (See annex at the bottom of the page). Regional Data Data for basic surveys are available in a three-level geographical breakdown of the whole country, the regions and the district; while data for intermediate surveys are only available upon the two-levels of country and regions. Since FSS 1999/2000 information about local farm location is collected in most countries, so that the data can also be disseminated by NUTS classification and are robust regarding the changes in the NUTS definition. The FSS 2009/2010 information is inline with the NUTS 2010 classification: Regulation (EU) No 31/2001 amending the NUTS classification from January 2012. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
  • M
    • मार्च 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 मार्च, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
  • N
    • अक्तूबर 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 अक्तूबर, 2019
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      It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
    • अक्तूबर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: National water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/national-water-footprint-statistics/ Water footprints of national consumption (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. Water footprints of national production (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. License: https://creativecommons.org/licenses/by-sa/3.0/
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 20 अप्रैल, 2019
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      mg NO3 per litreThe indicator refers to concentrations of NO3 in groundwater measured as milligrams per litre (mg NO3/L). Data are taken from well samples and aggregated to annual average concentrations for groundwater bodies in Europe. Only complete series after inter/extrapolation are included.The number of groundwater bodies included per country is given in parentheses: 1992-2012: Europe (400), Austria (13), Belgium (24), Bulgaria (24), Denmark (97), Estonia (20), Finland (33), Germany (98), Ireland (62), Liechtenstein (1), Lithuania (2), Netherlands (9), Norway (1), Portugal (2), Slovakia (10), Slovenia (4). 2000-2012: Europe (1242), Austria (14), Belgium (38), Bulgaria (42), Cyprus (4), Czech Republic (63), Denmark (108), Estonia (27), Finland (34), France (220), Germany (217), Ireland (89), Italy (7), Liechtenstein (1), Lithuania (3), Luxembourg (3), Malta (2), Netherlands (9), Norway (1), Portugal (10), Serbia (21), Slovakia (10), Slovenia (4), Spain (158), Switzerland (30), United Kingdom (127).
  • P
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 20 अप्रैल, 2019
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      mg PO4 per litreIndicator measures the concentration of Phosphate (PO4) per litre in the dissolved phase from water samples from river stations and aggregated to annual average values. At high concentrations it can cause water quality problems, such as eutrophication, by triggering the growth of macrophytes and algae. Only complete series after inter/extrapolation are included in the data presented.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      This indicator is defined as the percentage of the population connected to waste water treatment systems with at least secondary treatment. Thereby, urban waste water is treated by a process generally involving biological treatment with a secondary settlement or other process, resulting in a biochemical oxygen demand (BOD) removal of at least 70% and a chemical oxygen demand (COD) removal of at least 75%.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, connection rates of resident population to wastewater treatment, sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 मार्च, 2018
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      This indicator is defined as the percentage of the population connected to waste water treatment systems with at least secondary treatment. Thereby, urban waste water is treated by a process generally involving biological treatment with a secondary settlement or other process, resulting in a biochemical oxygen demand (BOD) removal of at least 70% and a chemical oxygen demand (COD) removal of at least 75%.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the EU progress towards the targets of the Sustainable Development Strategy.   tsdnr320's table: Eurobase > Tables by themes > Environment and Energy > Environment > Water > Population connected to urban wastewater treatment with at least secondary treatment (tsdnr 320) tsdnr 3020's table within the SDI set: Eurobase > Tables on EU policy > Sustainable development indicators > Natural resources > Fresh water resources > Population connected to urban wastewater treatment with at least secondary treatment (tsdnr 320).
    • अप्रैल 2016
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 अप्रैल, 2016
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    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
  • R
    • फरवरी 2016
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 24 अगस्त, 2016
      Select Dataset
      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
  • S
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • सितम्बर 2019
      Source: Social Progress Imperative
      Uploaded by: Knoema
      Accessed On: 14 अक्तूबर, 2019
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        Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2019 Social Progress Index. Therefore, using the 2019 Social Progress Index framework and methodology, we provide comparable historical data for additional five years of the Social Progress Index, from 2014 to 2018.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2019
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    • जून 2019
      Source: Sustainable Development Solutions Network
      Uploaded by: Knoema
      Accessed On: 09 जुलाई, 2019
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      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
  • T
    • फरवरी 2015
      Source: University of Keele
      Uploaded by: Knoema
      Accessed On: 24 अप्रैल, 2015
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      This water poverty index is a first pass at trying to establish an international measure comparing performance in the water sector across countries in a holistic way that brings in the diverse aspects and issues that are relevant. It does seem to give some sensible results but it does not pretend to be definitive nor offer a totally accurate measure of the situation.
    • अक्तूबर 2016
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2016
      Select Dataset
      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
  • U
    • अक्तूबर 2014
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 16 जून, 2016
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    • सितम्बर 2018
      Source: United Nations Environment Programme
      Uploaded by: Knoema
      Accessed On: 22 अक्तूबर, 2018
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    • जुलाई 2017
      Source: United Nations Children's Fund
      Uploaded by: Sandeep Reddy
      Accessed On: 23 अगस्त, 2017
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      According to UNICEF report, in 2015, seven out of ten people used a safely managed drinking water service. Universal access to safe drinking water is a fundamental need and human right. Securing access for all would go a long way in reducing illness and death, especially among children. Since 2000, 1.4 billion people have gained access to basic drinking water services, such as piped water into the home or a protected dug well. In 2015, 844 million people still lack a basic water service and among them almost 159 million people still collected drinking water directly from rivers, lakes and other surface water sources. The data reveal pronounced disparities, with the poorest and those living in rural areas least likely to use a basic service. “Safely managed” water services represent an ambitious new rung on the ladder used to track progress on drinking water. In 2015, 5.2 billion people used safely managed services, i.e. accessible on premises, available when needed and free from contamination. A further 1.3 billion used a ‘basic’ water service, i.e. improved sources within 30 minutes per round trip to collect water. Over a quarter of a billion (258 million) used a ‘limited’ service where water collection from an improved source exceeded 30 minutes. In most countries the burden of water collection continues to fall mainly to women and girls.
  • W
    • अक्तूबर 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Sandeep Reddy
      Accessed On: 08 अक्तूबर, 2019
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      This dataset provides information on the level of public equipment installed by countries to managed and abate water pollution. It shows the percentage of national population connected to "public" sewerage networks and related treatment facilities, and the percentage of national population connected to "public" wastewater treatment plants, and the degree of treatment. Connected here means actually connected to a wastewater plants through a public sewage network. Individual private treatment facilities such as septic tanks are not covered here. When analysing these data, it should be kept in mind that the optimal connection rate is not necessarily 100 per cent; it may vary among countries and depends on geographical features and on the spatial distribution of habitats. The interpretation of those data should take into account some variations in countries' definitions, as reflected in metadata.
    • अक्तूबर 2016
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      The indicator presents i) the annual total fresh water abstraction in a country as a percentage of its long term average available water (LTAA) from renewable fresh water resources; ii) the annual groundwater abstraction as a percentage of the country’s long-term annual average groundwater available for abstraction; and iii) the annual surface water abstraction as a percentage of the country’s long-term annual average surface water resources available for abstraction. The latter is calculated as the total fresh water resources (external inflow plus precipitation less evapotranspiration) less groundwater available for abstraction. Total fresh water abstraction includes water removed from any fresh water source, either permanently or temporarily. Mine water and drainage water as well as water abstractions from precipitation are included, whereas water used for hydroelectricity generation (in situ use) is excluded. The minimum period taken into account for the calculation of long term annual averages (LTAA) is 20 years. The warning threshold of 20% for this indicator distinguishes a non-stressed from a water scarce region, with severe scarcity occurring where the WEI exceeds 40%. However the indicator is limited for several reasons: Firstly, the total fresh water abstraction does not distinguish between abstracted water that is redirected after use (and after appropriate treatment) back to the water body or if it is used for irrigation purposes with inevitable evaporation. Secondly, the abstraction and WEI are national data and disregard regional and seasonal changing conditions during the course of the year (water bodies/river basins with different level of water scarcity and hot spots in summer time). Eurostat is in maintaining more differentiated data but coverage is not yet considered sufficient. As soon as the more advanced indicator WEI+ is established, it will replace the WEI. More information can be found in Statistics Explained.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      The indicator presents i) the annual total fresh water abstraction in a country as a percentage of its long term average available water (LTAA) from renewable fresh water resources; ii) the annual groundwater abstraction as a percentage of the country’s long-term annual average groundwater available for abstraction; and iii) the annual surface water abstraction as a percentage of the country’s long-term annual average surface water resources available for abstraction. The latter is calculated as the total fresh water resources (external inflow plus precipitation less evapotranspiration) less groundwater available for abstraction. Total fresh water abstraction includes water removed from any fresh water source, either permanently or temporarily. Mine water and drainage water as well as water abstractions from precipitation are included, whereas water used for hydroelectricity generation (in situ use) is excluded. The minimum period taken into account for the calculation of long term annual averages (LTAA) is 20 years. The warning threshold of 20% for this indicator distinguishes a non-stressed from a water scarce region, with severe scarcity occurring where the WEI exceeds 40%. However the indicator is limited for several reasons: Firstly, the total fresh water abstraction does not distinguish between abstracted water that is redirected after use (and after appropriate treatment) back to the water body or if it is used for irrigation purposes with inevitable evaporation. Secondly, the abstraction and WEI are national data and disregard regional and seasonal changing conditions during the course of the year (water bodies/river basins with different level of water scarcity and hot spots in summer time). Eurostat is in maintaining more differentiated data but coverage is not yet considered sufficient. As soon as the more advanced indicator WEI+ is established, it will replace the WEI. More information can be found in Statistics Explained.
    • सितम्बर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    
    • सितम्बर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • सितम्बर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2012) A global assessment of the water footprint of farm animal products, Ecosystems, 15(3): 401–415. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • सितम्बर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) National water footprint accounts: the green, blue and grey water footprint of production and consumption, Value of Water Research Report Series No.50, UNESCO-IHE, Delft, the Netherlands. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2019
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    • अगस्त 2018
      Source: EarthEcho Water Challenge
      Uploaded by: Knoema
      Accessed On: 22 अगस्त, 2018
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      The pH of pure water is 7. In general, water with a pH lower than 7 is considered acidic, and with a pH greater than 7 is considered basic. The normal range for pH in surface water systems is 6.5 to 8.5, and the pH range for groundwater systems is between 6 to 8.5.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
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      Water productivity indicates how much economic output is produced per cubic meter of fresh water abstracted (in EUR per m3 or PPS per m3). It serves as a measure of the efficiency of water use.  Total fresh water abstraction includes water removed from any fresh water source, either permanently or temporarily. Mine water and drainage water as well as water abstractions from precipitation are included, whereas water used for hydroelectricity generation (in situ use) is excluded.  The indicator is limited for several reasons:  Firstly, total fresh water abstraction does not distinguish between abstracted water that is redirected after use (and after appropriate treatment) back to the water body or if it is used for irrigation purposes with inevitable evaporation. Secondly, no distinction is made between fresh water abstracted from surface or groundwater.  Lastly, water abstraction statistics are national data and disregard regional and seasonal changing conditions during the year (water bodies / river basins with different level of water scarcity and hot spots in summer time).  Eurostat is in maintaining more differentiated data (groundwater, surface water, regional breakdown), but coverage is not yet considered sufficient.  For the interpretation it should be taken into account that water productivity is strongly influenced by the economic structure and the proportion of water intensive industries. A lower water productivity primarily means that the economic and industrial structure of the country is water use intensive. A less water-consuming economy would show a relatively high water productivity. The change in water productivity is influenced by both ‘real’ productivity improvements and deteriorations, as well as by changes in economic and industry structure.  For the calculation of water productivity Eurostat uses the GDP either in the unit of EUR in chain-linked volumes to the reference year 2010 at 2010 exchange rates or in the unit PPS (Purchasing Power Standard). The unit EUR in chain linked volumes allows observing the water productivity trends over time in a single geographic area, whereas the unit PPS allows to compare countries for the same year. Since GDP is measured in million EUR or million PPS and water abstraction in million cubic meters, water productivity is available in both EUR per m3 and PPS per m3.
    • अप्रैल 2018
      Source: Eurostat
      Uploaded by: Abhilash Devadiga
      Accessed On: 26 अप्रैल, 2018
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      The minimum period taken into account for the calculation of long term annual averages is 20 years. - Actual evapotranspiration is the volume of water transported from the ground (including inland water surfaces) into the atmosphere by evaporation and by transpiration of plants. - Internal flow is the total volume of river run-off and groundwater renewal generated, in natural conditions, exclusively by precipitation into a territory. The internal flow is equal to precipitation less actual evapotranspiration. - Actual external inflow is the total volume of actual inflow of rivers and groundwater coming from neighbouring territories. - Total fresh water resources is the total volume of water that is additionally available due to internal flow and external inflow. - Total actual outflow is the total actual outflow of rivers and groundwater into the sea and into neighbouring territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2019
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • जुलाई 2017
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 08 फरवरी, 2018
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हमारी गोपनीयता कथन और कुकी नीति

"हमारी वेबसाइट आपके ऑनलाइन अनुभव को बेहतर बनाने के लिए कुकीज़ का उपयोग करती है। जब आपने यह वेबसाइट लॉन्च की, तो उन्हें आपके कंप्यूटर पर रखा गया था। आप अपने इंटरनेट ब्राउज़र सेटिंग्स के माध्यम से अपनी व्यक्तिगत कुकी सेटिंग्स बदल सकते हैं।"

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