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Luxembourg

  • Monarch:Henri
  • Prime Minister:Xavier Bettel
  • Capital city:Luxembourg
  • Languages:Luxembourgish (official administrative and judicial language and national language (spoken vernacular)) 88.8%, French (official administrative, judicial, and legislative language) 4.2%, Portuguese 2.3%, German (official administrative and judicial language) 1.1%, other 3.5% (2011 est.)
  • Government
  • National statistics office
  • Population, persons:6,07,728 (2018)
  • Area, sq km:2,430
  • GDP per capita, US$:1,14,340 (2018)
  • GDP, billion current US$:69.5 (2018)
  • GINI index:No data
  • Ease of Doing Business rank:66

Households

All datasets:  A C D E F G H I L M N O P R S T W
  • A
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
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      The adjusted gross disposable income of households per capita in PPS is calculated as the adjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the purchasing power parities (PPP) of the actual individual consumption of households and by the total resident population.
    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 मार्च, 2018
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    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      The sum of elderly (65+) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. with very low work intensity) as a share of the total population in the same age group.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      The at-risk-of-poverty threshold is set at 60 % of national median equivalised disposable income.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
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      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2019
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      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2019
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      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 26 अप्रैल, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
  • C
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      The sum of children (0-17) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. households with very low work intensity (below 20%) as a share of the total population in the same age group.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2019
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      Please be aware that this indicator has been rescaled, i.e. data is expressed in relation to EU28 = 100. Thus, they are not comparable with previous releases. Comparative price levels are the ratio between Purchasing power parities (PPPs) and market exchange rate for each country. PPPs are currency conversion rates that convert economic indicators expressed in national currencies to a common currency, called Purchasing Power Standard (PPS), which equalises the purchasing power of different national currencies and thus allows meaningful comparison. The ratio is shown in relation to the EU average (EU28 = 100). If the index of the comparative price levels shown for a country is higher/ lower than 100, the country concerned is relatively expensive/cheap as compared with the EU average.
  • D
  • E
    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 मार्च, 2018
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      The indicator is defined as the quantity of electricity consumed by households. Household consumption covers all use of electricity for space and water heating and all electrical appliances.   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.   tsdpc310´s table: Eurobase>Tables by themes > Environment and energy > Energy > Energy statistics - quantities > Electricity consumption of households (tsdpc310) tsdpc310´s table within the SDI set: Eurobase > Tables on EU policy > Sustainable Development Indicators > Sustainable consumption and production > Consumption patterns > Electricity consumption of households (tsdpc310)
  • F
    • मार्च 2009
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
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      The tables presented in the Census 1990/91 round cover the total population and housing for 19 countries. Five main topics are covered: structure of population, active population, education level, households and dwellings. The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
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      The deflated house price index (or real house price index) is the ratio between the house price index (HPI) and the national accounts deflator for private final consumption expenditure (households and non-profit institutions serving households (NPISHs)). This indicator therefore measures inflation in the house market relative to inflation in the final consumption expenditure of households and NPIs. Eurostat HPI captures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included. The MIP scoreboard indicator is the year-on-year growth rate of the deflated house price index. In the MIP domain are also published annual and quarterly figures on: House price index, deflated – average index and rate of changeHouse price index – average rate of change, index and % change T/T-3
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
      Select Dataset
      The deflated house price index (or real house price index) is the ratio between the house price index (HPI) and the national accounts deflator for private final consumption expenditure (households and non-profit institutions serving households (NPISHs)). This indicator therefore measures inflation in the house market relative to inflation in the final consumption expenditure of households and NPIs. Eurostat HPI captures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included. The MIP scoreboard indicator is the year-on-year growth rate of the deflated house price index. In the MIP domain are also published annual and quarterly figures on:House price index, deflated – average index and rate of changeHouse price index – average rate of change, index and % change T/T-3
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      Household expenditure refers to any spending done by a person living alone or by a group of people living together in shared accommodation and with common domestic expenses. It includes expenditure incurred on the domestic territory (by residents and non-residents) for the direct satisfaction of individual needs and covers the purchase of goods and services, the consumption of own production (such as garden produce) and the imputed rent of owner-occupied dwellings.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 05 मई, 2019
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      20.1. Source data
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
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      Final energy consumption in households: The indicator measures the final residential energy consumption (total consumption) expressed in 1000 tonnes of oil equivalent. It aims to identify trends in energy consumption in households, as these trends are addressed by various policies of the European Union. The target is to reduce the total energy consumption by improving the energy efficiency (of residential buildings and electric appliances in residential buildings).  This data are extracted from the data set for quantitative energy statistics (Eurostat navigation tree > Database by themes > Environment and energy > Energy > nrg_quant > nrg_10 > nrg_100a).   Final energy consumption in households by fuel: This indicator presents the share of six fuel types to the final residential energy consumption: solid fuels, total petroleum fuels, gas, electrical energy, derived heat and renewable energies. The share of each fuel is expressed in per cent of the total consumption. Both indicators are resource efficiency indicators (t2020_rk200, t2020_rk210). They are included in the Resource Efficiency Scoreboard for the assessment of progress towards the objectives and targets of the Europe 2020 flagship initiative on Resource Efficiency. The two indicators have been chosen as proxies for indicators in the key area 'Improving buildings' of the resource efficiency initiative. This area focuses on the energy spent in households for heating purposes and how the amelioration of buildings can contribute to energy-saving plans. Eurostat collects data on total energy consumption in households split by fuel category. More detailed data for energy consumption in households (e.g. energy for space heating, space cooling, water heating and cooking) will be collected in the future under the Commission Regulation (EU) No 431/2014 of 24 April 2014 amending Regulation (EC) No 1099/2008 of the European Parliament and of the Council on energy statistics, as regards the implementation of annual statistics on energy consumption in households.   t2020_rk200 table within the Europe 2020 set: Eurobase > Tables on EU policy > Europe 2020 Indicators > Resource efficiency > Key areas > Improving buildings > Final energy consumption in households (t2020_rk200) t2020_rk210 table within the Europe 2020 set: Eurobase > Tables on EU policy > Europe 2020 Indicators > Resource efficiency > Key areas > Improving buildings > Final energy consumption in households by fuel (t2020_rk210)
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2019
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      6.1. Reference area
  • G
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
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      The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EEA Members (Norway, Iceland) and Switzerland following ESA2010 transmission programme(Table 8) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively). The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis. Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows:Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100Total investment to GDP ratio (S.1): P51G/B1GQ*100Business investment to GDP ratio (S.11+S.12): P51G/B1GQ*100Government investment to GDP ratio (S.13): P51G/B1GQ*100Households investment to GDP ratio (S.14_S.15): P51G/B1GQ*100 With the following transaction codes:B8G -  Gross savingB6G - Gross disposable incomeD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB1GQ – Gross domestic productB2G_B3G - Gross operating surplus/ mixed income. In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators combine non-financial with financial accounts:Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100)Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed):B4N - Net entrepreneurial incomeD5pay - Current taxes on income and wealthAF2 - Currency and depositsAF3 - Debt securities (excluding financial derivatives)AF4 - LoansAF5 - Equity and investment fund sharesBF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
  • H
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
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      Harmonised Indices of Consumer Prices (HICP) are designed for international comparisons of consumer price inflation. HICPs are used for the assessment of the inflation convergence criterion as required under Article 121 of the Treaty of Amsterdam and by the ECB for assessing price stability for monetary policy purposes. The ECB defines price stability on the basis of the annual rate of change of the euro area HICP. HICPs are compiled on the basis of harmonised standards, binding for all Member States. Conceptually, the HICP are Laspeyres-type price indices and are computed as annual chain-indices allowing for weights changing each year. The common classification for Harmonized Indices of Consumer Prices is the COICOP (Classification Of Individual COnsumption by Purpose). A version of this classification (COICOP/HICP) has been specially adapted for the HICP. Sub-indices published by Eurostat are based on this classification. HICP are produced and published using a common index reference period (2015 = 100). Growth rates are calculated from published index levels. Indexes, as well as both growth rates with respect to the previous month (M/M-1) and with respect to the corresponding month of the previous year (M/M-12) are neither calendar nor seasonally adjusted.
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 11 जुलाई, 2019
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      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 11 जुलाई, 2019
      Select Dataset
      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2019
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      The Private sector debt is the stock of liabilities (at the end of the year) held by the sectors Non-Financial corporations (S.11) and Households and Non-Profit institutions serving households (S.14_S.15). The instruments taken into account to compile the private sector debt are Debt securities (F.3) and Loans (F.4). Financial flows and stocks data are often referred to collectively in the national accounts framework as 'financial accounts'. Financial flows consist of transactions and other flows, and represent the difference between the opening financial balance sheet at the start of the year and the closing balance sheet at the end of the year. The data are compiled in accordance with the European System of Accounts 2010 edition (ESA 2010), which came into force in September 2014. The MIP scoreboard indicator is the consolidated Private sector debt, in percentage of GDP. For the MIP purposes are published annual consolidated and non-consolidated data by institutional sectors and financial instruments.  
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
      Select Dataset
      The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EEA Members (Norway, Iceland) and Switzerland following ESA2010 transmission programme(Table 8) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively). The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis. Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows:Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100Total investment to GDP ratio (S.1): P51G/B1GQ*100Business investment to GDP ratio (S.11+S.12): P51G/B1GQ*100Government investment to GDP ratio (S.13): P51G/B1GQ*100Households investment to GDP ratio (S.14_S.15): P51G/B1GQ*100 With the following transaction codes:B8G -  Gross savingB6G - Gross disposable incomeD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB1GQ – Gross domestic productB2G_B3G - Gross operating surplus/ mixed income. In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators combine non-financial with financial accounts:Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100)Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed):B4N - Net entrepreneurial incomeD5pay - Current taxes on income and wealthAF2 - Currency and depositsAF3 - Debt securities (excluding financial derivatives)AF4 - LoansAF5 - Equity and investment fund sharesBF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
      Select Dataset
      The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EEA Members (Norway, Iceland) and Switzerland following ESA2010 transmission programme (Table 8) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively). The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis. Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows: Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100Total investment to GDP ratio (S.1): P51G/B1GQ*100Business investment to GDP ratio: (S.11_P51G+S.12_P51G)/B1GQ*100Government investment to GDP ratio: S.13_P51G/B1GQ*100Households investment to GDP ratio: (S.14_S.15_P51G)/B1GQ*100 With the following transaction codes: B8G -  Gross savingB6G - Gross disposable incomeD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB1GQ – Gross domestic productB2G_B3G - Gross operating surplus/ mixed income. In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators are calculated in real or nominal terms: Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator)Nominal growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC)Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator) With the following codes (the codes already described above have not been listed): B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind)P4 - Actual final consumption (adjusted for social transfers in kind)POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe)Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV10_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp) The following key indicators combine non-financial with financial accounts: Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100)Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed): B4N - Net entrepreneurial incomeD5pay - Current taxes on income and wealthAF2 - Currency and depositsAF3 - Debt securities (excluding financial derivatives)AF4 - LoansAF5 - Equity and investment fund sharesBF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
    • मार्च 2009
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
      Select Dataset
      The tables presented in the Census 1990/91 round cover the total population and housing for 19 countries. Five main topics are covered: structure of population, active population, education level, households and dwellings. The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes.
    • जून 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 जून, 2019
      Select Dataset
      The elaboration of a more precise nomenclature of households' financial assets and liabilities and the collection of more detailed information constitute an attempt to better identify and analyse households' wealth in OECD countries. The objective of the sub-classification of assets and liabilities is to identify the relative importance of the various types of assets, classified according to the increasing risk
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 04 जुलाई, 2019
      Select Dataset
      The access to internet of households is measured by percentage of households that are connectable to the internet over a broadband or a Dial-up or ISDN connection. Some households may use more than one type of connection to connect to the internet. It covers all households having at least one member in the age group 16-74 years.
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 04 जुलाई, 2019
      Select Dataset
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The model questionnaire changes every year. The changes of questions in the MQ are required by the evolving situation of information and communication technologies. Large part of the data collected are used in the context of the follow up of the Digital Single Market process (Monitoring the Digital Economy & Society  2016-2021). This conceptual framework follows the 2011 - 2015 benchmarking framework, the i2010 Benchmarking Framework and the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 जुलाई, 2019
      Select Dataset
      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
    • सितम्बर 2016
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 22 सितम्बर, 2016
      Select Dataset
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
  • I
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 अप्रैल, 2019
      Select Dataset
      The ICT Access and Usage by Households and Individuals database provides a selection of 92 indicators, based on the of 2nd revision of the OECD Model Survey on ICT Access and Usage by Households and Individuals.The selected indicators originate from two sources:1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Costa Rica, Chile, Colombia, Israel, Japan, Korea, Mexico, New Zealand, Switzerland, and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.2. Eurostat Statistics on Households and Individuals for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the correspondence table-. Please refer to Eurostat methodology to access the methodological information.For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 अक्तूबर, 2019
      Select Dataset
      Regional accounts are a regional specification of the national accounts and therefore based on the same concepts and definitions as national accounts (see domain nama10). The main specific regional issues are addressed in chapter 13 of ESA2010, but not practically specified. For practical rules and recommendations on sources and methods see the publication "Manual on regional accounts methods": http://ec.europa.eu/eurostat/en/web/products-manuals-and-guidelines/-/KS-GQ-13-001 . Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. It can be defined in three ways: 1. Output approach GDP is the sum of gross value added of the various institutional sectors or the various industries plus taxes and less subsidies on products (which are not allocated to sectors and industries). It is also the balancing item in the total economy production account. 2. Expenditure approach GDP is the sum of final uses of goods and services by resident institutional units (final consumption expenditure and gross capital formation), plus exports and minus imports of goods and services. At regional level the expenditure approach cannot be used in the EU, because there is no data on regional exports and imports.  3. Income approach GDP is the sum of uses in the total economy generation of income account: compensation of employees plus gross operating surplus and mixed income plus taxes on products less subsidies plus consumption of fixed capital. The different measures for the regional GDP are absolute figures in € and Purchasing Power Standards (PPS), figures per inhabitant and relative data compared to the EU Member States average.
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 08 जुलाई, 2019
      Select Dataset
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The model questionnaire changes every year. The changes of questions in the MQ are required by the evolving situation of information and communication technologies. Large part of the data collected are used in the context of the follow up of the Digital Single Market process (Monitoring the Digital Economy & Society  2016-2021). This conceptual framework follows the 2011 - 2015 benchmarking framework, the i2010 Benchmarking Framework and the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
  • L
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 04 जुलाई, 2019
      Select Dataset
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. Large part of the data collected are used in the context of the follow up of the Digital Single Market process (Monitoring the Digital Economy & Society  2016-2021). This conceptual framework follows the 2011 - 2015 benchmarking framework, the i2010 Benchmarking Framework and the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
  • M
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Statistics included in the section Cultural expenditure comprise the data which are derived from two various sources: Household Budget Survey (HBS) and Harmonised Indices of Consumer Prices (HICP). Therefore the coverage and periodicity of statistics in this section depends on these primary sources. In culture statistics, individuals and households' expenditure on cultural goods and services can be considered as a proxy of the participation in culture; data on private expenditure give the key to complete the analysis of data coming from other sources (e.g. dedicated surveys on cultural participation like EU-SILC ad hoc module on social and cultural participation). This dimension allows a better understanding of the private financing of culture and in some way - access to culture. Moreover, the cultural consumption patterns of households can be put in larger context what enables to assess the weight of private expenditure on cultural goods relative to the total household expenditure.  Two types of data are currently available in Eurostat: households' expenditure on cultural goods and services (from HBS)harmonised indices of consumer prices (HICP) for main cultural goods and services (from HICP) The use of data on cultural expenditure was made possible thanks to the EU framework for culture statistics (the ESSnet-Culture final report 2012) that identified cultural activities (e.g. reading books and newspapers, listening to the music, playing video games, singing, dancing etc.). Starting from the list of activities, the corresponding goods and services were then spotted in the COICOP classification used in the Household Budget Survey (HBS). The HBS monitor the households’ expenditure on articles and services such as food, beverages, clothing, housing, water, electricity, health, transport, communication, education and travel.  In addition, it gathers the information on income, possession of consumer durable goods and cars; basic information on housing and many demographic and socio-economic characteristics. In HBS, the data can be expressed in national currencies, EUR and in PPS. The data on cultural expenditure are presented in PPS for selected cultural codes and for cultural aggregate. For further information on methodology of HBS survey, please consult the HBS metadata. As private expenditure is influenced, among others, by the prices level and structure, data on private expenditure on selected cultural goods and services can be completed by statistical information from the Harmonised Indices of Consumer Prices (HICP). HICPs give comparable measures of inflation, tracking over time the prices of consumer goods and services acquired by households. They use the COICOP classification categories for consumption. For further information on methodology of HICP, please consult the HICP metadata
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Statistics included in the section Cultural expenditure comprise the data which are derived from two various sources: Household Budget Survey (HBS) and Harmonised Indices of Consumer Prices (HICP). Therefore the coverage and periodicity of statistics in this section depends on these primary sources. In culture statistics, individuals and households' expenditure on cultural goods and services can be considered as a proxy of the participation in culture; data on private expenditure give the key to complete the analysis of data coming from other sources (e.g. dedicated surveys on cultural participation like EU-SILC ad hoc module on social and cultural participation). This dimension allows a better understanding of the private financing of culture and in some way - access to culture. Moreover, the cultural consumption patterns of households can be put in larger context what enables to assess the weight of private expenditure on cultural goods relative to the total household expenditure.  Two types of data are currently available in Eurostat: households' expenditure on cultural goods and services (from HBS)harmonised indices of consumer prices (HICP) for main cultural goods and services (from HICP) The use of data on cultural expenditure was made possible thanks to the EU framework for culture statistics (the ESSnet-Culture final report 2012) that identified cultural activities (e.g. reading books and newspapers, listening to the music, playing video games, singing, dancing etc.). Starting from the list of activities, the corresponding goods and services were then spotted in the COICOP classification used in the Household Budget Survey (HBS). The HBS monitor the households’ expenditure on articles and services such as food, beverages, clothing, housing, water, electricity, health, transport, communication, education and travel.  In addition, it gathers the information on income, possession of consumer durable goods and cars; basic information on housing and many demographic and socio-economic characteristics. In HBS, the data can be expressed in national currencies, EUR and in PPS. The data on cultural expenditure are presented in PPS for selected cultural codes and for cultural aggregate. For further information on methodology of HBS survey, please consult the HBS metadata. As private expenditure is influenced, among others, by the prices level and structure, data on private expenditure on selected cultural goods and services can be completed by statistical information from the Harmonised Indices of Consumer Prices (HICP). HICPs give comparable measures of inflation, tracking over time the prices of consumer goods and services acquired by households. They use the COICOP classification categories for consumption. For further information on methodology of HICP, please consult the HICP metadata
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 जुलाई, 2019
      Select Dataset
      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 जून, 2019
      Select Dataset
  • N
    • सितम्बर 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Sandeep Reddy
      Accessed On: 24 सितम्बर, 2019
      Select Dataset
      It presents the final consumption expenditure of households broken down by the COICOP (Classification of Individual Consumption According to Purpose) classification and by durability.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 05 मई, 2019
      Select Dataset
      The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU and in EFTA and Candidate countries.  The EU-LFS survey follows the definitions and recommendations of the International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU Labour Force Survey (lfsi_esms, see paragraph 21.1.).  The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level. At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation in few categories per country, i.e., metropolitan regions and urban-rural typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 10 मई, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • अप्रैल 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 11 अप्रैल, 2018
      Select Dataset
      The indicator is defined as the average number of persons living in private households. Private households are either a one-person household or a multi-person household, i.e. a group of two or more persons who jointly occupy the whole part or part of a housing unit and who provide themselves with food and possibly other essentials for living.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 26 अप्रैल, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
  • O
    • मार्च 2009
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
      Select Dataset
      The tables presented in the Census 1990/91 round cover the total population and housing for 19 countries. Five main topics are covered: structure of population, active population, education level, households and dwellings. The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes.
    • नवम्बर 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2019
      Select Dataset
    • मई 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 03 जून, 2019
      Select Dataset
      Source: UNECE Statistical Database, compiled from national official sources. Definition: A one person household consists of a person living alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multi-person household. General note: Data is limited to persons living in private households. Data come from population censuses, micro-censuses and household sample surveys, unless otherwise specified. .. - data not available Country: Albania 1990: data refer to 1989. Country: Austria Break in methodlogy (2004): Change in data collection procedure. Country: Azerbaijan Reference period (2000): Data refer to 1999. Country: Belarus Reference period (2000): Data refer to 1999. Country: Belgium Change in definition (2003 - 2013): Data for married couples include married same sex couples. Country: Belgium Reference period (1980): Data refer to 1981 Country: Belgium Reference period (1990): Data refer to 1991 Country: Bulgaria Reference period (1980): Data refer to 1985 Country: Bulgaria Reference period (1990): Data refer to 1992 Country: Bulgaria Reference period (2010): Data refer to 2011 Country: Canada Reference period (1980): Data refer to 1981 Country: Canada Reference period (1990): Data refer to 1991 Country: Canada Reference period (1995): Data refer to 1996 Country: Croatia Change in definition (1980 - 1990): Data refer to population with permanent residence irrespective of actual residence and duration. Country: Croatia Change in definition (2001 - 2011): Data refer to usual resident population. Country: Croatia Reference period (1980): Data refer to 1981 Country: Croatia Reference period (1990): Data refer to 1991 Country: Cyprus Change in definition (1980 - 2011): Age group 0-29 refers to 15-24; age group 30-64 refers to 25-64. Country: Cyprus Reference period (1990): Data refer to 1992 Country: Cyprus Territorial change (1980 - 2011): Data cover only government controlled area. Country: Czechia Change in definition (1995 - 2013): Age group 0-29 refers to 15-29. Country: Estonia Break in methodlogy (2008): Change from Household Budget Survey to EU-SILC Country: France Additional information (1990 - 2010): Data cover Metropolitan France and overseas departments (Guadeloupe, Martinique, Reunion, French Guiana) Country: France Break in methodlogy (2006 - 2010): The census is based on annual data collection, successively surveying all the municipal territories over a five-year period. Country: France Reference period (2000): Data refer to 1999. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhaz AR and Ossetia. Country: Georgia Break in series (2014): data for 2014 are from the Population Census, for other years are from the Integrated Household Survey Country: Germany Break in methodlogy (1980): From 1980 to 2004, data refer to one reporting week Country: Germany Break in methodlogy (2005): From 2005, annual avarage figures Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Ireland Reference period (1995): Data refer to 1996 Country: Israel Break in methodology (2012): The Labour Force Survey has been changed from a quarterly format to a monthly format. Country: Israel Data refer to persons aged 15+ living in one person households. Country: Kyrgyzstan Reference period (2000): Data refer to 1999 Country: Latvia Change in definition (2011): In 2011 Census in Latvia the housekeeping concept of household was used instead of the household-dwelling concept used in the previous 2000 Census. Country: Luxembourg Reference period (1980): Data refer to 1981 Country: Luxembourg Reference period (1990): Data refer to 1991 Country: Norway See more about definitions: http://www.ssb.no/en/befolkning/statistikker/familie/aar/20--16-04-14?fane=om content Country: Poland 1980, 1990: data refer to 1978, 1988. Country: Portugal Reference period (1990): Data refer to 1991 Country: Romania Reference period (1990): Data refer to 1992 Country: Serbia Reference period (1980): Data refer to 1981 Country: Serbia Reference period (1990): Data refer to 1991. With provisional data for Bujanovac and Presevo. Country: Serbia Territorial change (1980): Data refer to the whole territory of the Republic of Serbia Country: Serbia Territorial change (1990 - 2011): Data do not cover Kosovo and Metohija. Country: Slovakia Additional information (1980): Detailed data about one person-households from the 1980 census are not available. Country: Slovenia Change in definition (1990): Data refer to de jure population. Country: Slovenia Change in definition (2002): Data refer to de facto population. Country: Slovenia Reference period (1990): Data refer to 1991 Country: Spain Additional information: For 2011 all data are rounded to the closest integer multiple of 5. From 2013 all data are rounded to the closest integer multiple of 100. Country: Switzerland Additional information (1980 - 2000): Data are based on traditional census (full field enumeration) Country: Switzerland Break in methodlogy (2010 - 2011): Data are based on sample survey of the resident permanent population 15 + Country: Turkey Additional information (2002 - 2007): The variable of "type of household" was asked directly to the respondants. Country: Turkey Additional information (2008 - 2012): The variable of "type of household" was calculated at the offiice by using the variable named "relationship to the household head". Country: Ukraine Territorial change (2000 - 2013): Territorial sample excluded localities (and the population living in them) which were radioactively contaminated by the Chernobyl disaster. Country: United Kingdom Reference period (1980): Data refer to 1981 census Country: United Kingdom Reference period (1990): Data refer to 1991 census Country: United Kingdom Territorial change (1980 - 1990): Data cover only Great Britain. Country: United Kingdom Territorial change (2000 - onwards): Data cover Great Britain and Northern Ireland
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
      Select Dataset
      Indicator is the share of people living in overcrowded conditions in the EU. A person is considered to be living in an overcrowded household if the house does not have at least one room for the entire household as well as a room for a couple, for each single person above 18, for a pair of teenagers (12 to 17 years of age) of the same sex, for each teenager of different sex and for a pair of children (under 12 years of age).
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
  • P
    • फरवरी 2012
      Source: Center for International Comparisons at the University of Pennsylvania
      Uploaded by: Knoema
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      Benchmark data used in the component price level estimates for past PWTs. The published record of benchmark comparisons includes regional and world comparisons. These are described through 1985 in publications of the World Bank, including the published comparisons of the Penn group. The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010.  Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      People living in households with very low work intensity are people aged 0-59 living in households where the adults work 20% or less of their total work potential during the past year.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2019
      Select Dataset
      The data collection 'LFS - specific topics, household statistics' covers a range of statistics on number, characteristics and typologies of households, based on the European Union Labour Force Survey (EU-LFS). The data collection also encompasses some labour market indicators broken down by household composition. Only annual data are available. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 18 मई, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 23 मार्च, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 25 मार्च, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 23 मार्च, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 27 मार्च, 2019
      Select Dataset
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      Indicator shows the share of the total population having neither a bath, nor a shower, nor an indoor flushing toilet in their household.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
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      Indicator aims to assess share of population who haven't got an access to affordable energy for heating. The indicator values are being collected as part of the European Union Statistics on Income and Living Conditions (EU-SILC) to monitor the development of poverty and social inclusion in the EU. The data collection is based on a survey, which means that indicator values are self-reported.
    • मई 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 03 जून, 2019
      Select Dataset
      Source: UNECE Statistical Database, compiled from national official sources. Definition:A private household is either: (a) One person household consisting of a person living alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multi-person household OR (b) Multi-person household consisting of a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. The group may be composed of related persons only or of unrelated persons or of a combination of both. The group may also pool their income. Couple: A couple is defined as a man and woman living as a married couple, a registered couple or a couple who lives in a consensual union (cohabiting). Two persons are considered as partners in a consensual union when they have usual residence in the same household, have a marriage-like relationship but are not married to each other. Child: A child refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of the parent, and who has no partner or own child(ren) in the same household. General note: Data come from population censuses, micro-censuses and household sample surveys, unless otherwise specified. .. - data not available Country: Albania Break in methodlogy (2011): Households with three generations included in Other; Country: Austria Break in methodlogy (2004): Change in data collection procedure. Country: Belarus Reference period (2000): Data refer to 1999. Country: Belgium Change in definition (2003 - 2013): Data for married couples include married same sex couples. Country: Belgium Reference period (1980): Data refer to 1981 Country: Belgium Reference period (1990): Data refer to 1991 Country: Bulgaria Reference period (1980): Data refer to 1985 Country: Bulgaria Reference period (1990): Data refer to 1992 Country: Bulgaria Reference period (2010): Data refer to 2011 Country: Canada Change in definition (1980): Cohabiting couples are included within the married couples category. Data for lone-parent and couple (married and common-law) households with/without children refer to households with one census family. Households with multiple census families are included in the category of Other households. Country: Canada Change in definition (1990 - 2011): Data for lone-parent and couple (married and common-law) households with/without children refer to households with one census family. Households with multiple census families are included in the category of Other households. Country: Canada Reference period (1980): Data refer to 1981 Country: Canada Reference period (1990): Data refer to 1991 Country: Canada Reference period (1995): Data refer to 1996 Country: Croatia Change in definition (1980 - 1990): Data refer to population with permanent residence irrespective of actual residence and duration. Country: Croatia Change in definition (2001 - 2011): Data refer to usual resident population. Country: Croatia Reference period (1980): Data refer to 1981 Country: Croatia Reference period (1990): Data refer to 1991 Country: Cyprus Reference period (1980): Data refer to 1982 Country: Cyprus Reference period (1990): Data refer to 1992 Country: Cyprus Territorial change (1980 - 2011): Data cover only government controlled area. Country: Czechia Change in definition (1980 - 2013): Data refer to couples with economically inactive dependent children aged 0-25. Country: Estonia Change in definition (2001 - 2007): Data refer to one parent families with children aged under 18. Country: Estonia Change in definition (2008 onward): Data refer to one parent families with children aged 0?17 and persons aged 18-24 who are economically inactive and living with at least one parent. Country: France Additional information (1990 - 2010): Data cover Metropolitan France and overseas departments (Guadeloupe, Martinique, Reunion, French Guiana) Country: France Break in methodlogy (2006 - 2010): The census is based on annual data collection, successively surveying all the municipal territories over a five-year period. Country: France Reference period (2000): Data refer to 1999. Country: Georgia Sum of households with married couples and households with cohabitating couples may not sum to total households with couples as some households include both married couples and cohabitating couples. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region Country: Germany Break in methodlogy (1980): From 1980 to 2004, data refer to one reporting week Country: Germany Households with three and more generations are also included in all other household types with children living in this household. From 2005, data refer to annual avarage figures. Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Hungary Change in definition (1980 - 2011): Data refer to couples with never married children. Multi-family households are included in category "Other". Country: Ireland Data on three generation households are included in other households. Country: Ireland Reference period (1995): Data refer to 1996 Country: Israel Break in methodlogy (2012): The Labour Force Survey has been changed from a quarterly formal to a monthly format. Country: Kazakhstan Reference period (2000): Data refer to 1999. Country: Kyrgyzstan Reference period (2000): Data refer to 1999 Country: Latvia Change in definition (2011): In 2011 Census in Latvia the housekeeping concept of household was used instead of the household-dwelling concept used in the previous 2000 Census. Country: Lithuania Change in definition (2001 - 2011): Data include stepchildren and adopted children, but exclude wards. Country: Luxembourg Reference period (1980): Data refer to 1981 Country: Luxembourg Reference period (1990): Data refer to 1991 Country: Montenegro Change in definition (2003): Data related to one family household Country: Norway Data refer to one parent families with children aged under 18. See more about definitions: http://www.ssb.no/en/befolkning/statistikker/familie/aar/20--16-04-14?fane=om content Country: Poland Reference period (1980): Data refer to 1978 Country: Poland Reference period (1990): Data refer to 1988 Country: Portugal Change in definition (1990 - 2011): Data on three generation households are included in & 39;other& 39; households. Country: Portugal Reference period (1990): Data refer to 1991 Country: Romania Change in definition (1990): Data do not include cohabiting couples. Country: Romania Reference period (1990): Data refer to 1992 Country: Serbia Reference period (1980): Data refer to 1981 Country: Serbia Reference period (1990): Data refer to 1991. With provisional data for Bujanovac and Presevo. Country: Serbia Territorial change (1980): Data refer to the whole territory of the Republic of Serbia Country: Serbia Territorial change (1990 - 2011): Data do not cover Kosovo and Metohija. Country: Slovakia Additional information (1980 - 1990): Detailed data from the 1980 and 1991 census about married and cohabiting couples are not available. Country: Slovakia Reference period (1990): Data refer to 1991 Country: Slovenia Change in definition (1980 - 1990): Data refer to de jure population and couples with never married children Country: Slovenia Change in definition (2002): Data refer to de facto population. Country: Slovenia Reference period (1980): Data refer to 1981 Country: Slovenia Reference period (1990): Data refer to 1991 Country: Spain Additional information: For 2011 all data are rounded to the closest integer multiple of 5. From 2013 all data are rounded to the closest integer multiple of 100. Country: Spain Change in definition (2001 - 2011): The category "Three-generation households" considers those households with exactly three generations inside and no more; the category "One-parent family households" considers only those households with only one parent family inside and no more people living there; the category "Couples households" considers only those households with only one couple (with or without children) and no more people living there. Country: Sweden Since 2011, the source is register-based household statistics. All persons who are registered at the same housing unit form part of the same household. Information about housing is missing for about 300 000 persons. These people are not included in the household statistics. Earlier data is based on a survey that used a housekeeping unit approach. A household-housing unit may contain several housekeeping units. Reported figures are based on estimated relations between those who occupy the same housing unit. Children are classified based on four different types of relations. Biological parents with children and adoptive parents with children are the two most common types of relations. Children classified by guardianship and ''Other person'' account for a small share. Individuals are classified as children regardless of age if they live with their parents/guardians and don’t have any children or partner in the same household. Single or cohabiting parents, with or without children, who live in a housing unit with other occupants are placed under other households. Information on three-generation households is only available from 2014. The figures refer to households where all persons in the household are part of the same generation chain, but where a person from the middle generation does not need to be present. Country: Switzerland Additional information (1980 - 2000): Data are based on traditional census (full field enumeration) Country: Switzerland Break in methodlogy (2010 - 2011): Data are based on sample survey of the resident permanent population 15 + Country: Switzerland Since 2012 the sum of household categories may differ from the total number of households due to different data sources used. Country: Turkey Additional information (2002 - 2007): The variable of "type of household" was asked directly to the respondants. Country: Turkey Additional information (2008 - 2012): The variable of "type of household" was calculated at the offiice by using the variable named "relationship to the household head". Country: Ukraine Change in definition (2000 - 2013): Children in one parent families& 39; include families where children do not have one or both parents. Country: Ukraine Territorial change (2000 - 2013): Territorial sample excluded localities (and the population living in them) which were radioactively contaminated by the Chernobyl disaster. Country: United Kingdom Reference period (1980): Data refer to 1981 census Country: United Kingdom Reference period (1990): Data refer to 1991 census Country: United Kingdom Territorial change (1980 - 1990): Data cover only Great Britain. Country: United Kingdom Territorial change (2000 - onwards): Data cover Great Britain and Northern Ireland Country: United States Break in methodlogy (2007): Revision of data collection tools. Cohabiting couples include all couples, not just coupled households. Country: United States Change in definition (1980 - 1995): Data on couples do not include unmarried partners Country: Uzbekistan Households consisting of a single couple are included in the category 'Couple households', households consisting of two or more couples are included in the category 'Other private households'
    • अप्रैल 2015
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 दिसम्बर, 2015
      Select Dataset
      The 2011 Population and Housing Census marks a milestone in census exercises in Europe. For the first time, European legislation defined in detail a set of harmonised high-quality data from the population and housing censuses conducted in the EU Member States. As a result, the data from the 2011 round of censuses offer exceptional flexibility to cross-tabulate different variables and to provide geographically detailed data. EU Member States have developed different methods to produce these census data.  The national differences reflect the specific national situations in terms of data source availability, as well as the administrative practices and traditions of that country. The EU census legislation respects this diversity. The Regulation of the European Parliament and of the Council on population and housing censuses (Regulation (EC) No 763/2008) is focussed on output harmonisation rather than input harmonisation. Member States are free to assess for themselves how to conduct their 2011 censuses and which data sources, methods and technology should be applied given the national context. This gives the Member States flexibility, in line with the principles of subsidiarity and efficiency, and with the competences of the statistical institutes in the Member States. However, certain important conditions must be met in order to achieve the objective of comparability of census data from different Member States and to assess the data quality: Regulation (EC) No 1201/20092 contains definitions and technical specifications for the census topics (variables) and their breakdowns that are required to achieve Europe-wide comparability. The specifications are based closely on international recommendations and have been designed to provide the best possible information value. The census topics include geographic, demographic, economic and educational characteristics of persons, international and internal migration characteristics as well as household, family and housing characteristics. Regulation (EU) No 519/2010 requires the data outputs that Member States transmit to the Eurostat to comply with a defined programme of statistical data (tabulation) and with set rules concerning the replacement of statistical data. The content of the EU census programme serves major policy needs of the European Union. Regionally, there is a strong focus on the NUTS 2 level. The data requirements are adapted to the level of regional detail. The Regulation does not require transmission of any data that the Member States consider to be confidential. The statistical data must be completed by metadata that will facilitate interpretation of the numerical data, including country-specific definitions plus information on the data sources and on methodological issues. This is necessary in order to achieve the transparency that is a condition for valid interpretation of the data. Users of output-harmonised census data from the EU Member States need to have detailed information on the quality of the censuses and their results. Regulation (EU) No 1151/2010) therefore requires transmission of a quality report containing a systematic description of the data sources used for census purposes in the Member States and of the quality of the census results produced from these sources. A comparably structured quality report for all EU Member States will support the exchange of experience from the 2011 round and become a reference for future development of census methodology (EU legislation on the 2011 Population and Housing Censuses - Explanatory Notes ). In order to ensure proper transmission of the data and metadata and provide user-friendly access to this information, a common technical format is set for transmission for all Member States and for the Commission (Eurostat). The Regulation therefore requires the data to be transmitted in a harmonised structure and in the internationally established SDMX format from every Member State. In order to achieve this harmonised transmission, a new system has been developed – the CENSUS HUB. The Census Hub is a conceptually new system used for the dissemination of the 2011 Census. It is based on the concept of data sharing, where a group of partners (Eurostat on one hand and National Statistical Institutes on the other) agree to provide access to their data according to standard processes, formats and technologies. The Census Hub is a readily-accessible system that provided the following functions: • Data providers (the NSIs) can make data available directly from their systems through a querying system. In parallel, • Data users browse the hub to define a dataset of interest via the above structural metadata and retrieve the dataset from the NSIs. From the data management point of view, the hub is based on agreed hypercubes (data-sets in the form of multi-dimensional aggregations). The hypercubes are not sent to the central system. Instead the following process operates: 1. a user defines a dataset through the web interface of the central hub and requests it; 2. the central hub translates the user request in one or more queries and sends them to the related NSIs’ systems; 3. NSIs’ systems process the query and send the result to the central hub in a standard format; 4. the central hub puts together all the results sent by the NSI systems and presents them in a user-specified format.
    • मार्च 2009
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
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      The tables presented in the topic of households cover the total housing for 31 countries (for more information on received tables and geographic coverage, see "2001 Census Round - Tables Received" in the Annex at the bottom of the page). The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes. There are four ways of collecting census data, namely: - the traditional method of using census questionnaires (exhaustive census); - the method of using registers and/or other administrative sources; - a combination of registers and/or other administrative sources and - surveys (complete enumerations or sample surveys). Other methods (other mixed census or micro-census) can be used as well. Details for the method employed by each country are provided in "2001 Census Method"in the Annex at the bottom of the page. In the same table you can find the dates on which the census was carried out in each country.
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 जून, 2019
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    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 मार्च, 2018
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      The indicator shows the percentage of the total population who declare that they are affected either by noise from neighbours or from outside.
  • R
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
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      Real adjusted gross disposable income of households per capita in PPS is calculated as the adjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the purchasing power parities (PPP) of the actual individual consumption of households and by the total resident population. Adjusted gross disposable income of households gives broader picture of houeholds' income by including the flows corresponding to the use of individual goods and services which these households receive free of charge from governent and NPISHs, i.e. social transfers in kind. This facilitates comparisons over time and across countries when there are differences or changes in economic and social conditions and in the role of general government in the redistribution of income. Purchasing power parities (PPPs) are indicators of price level differences across countries. PPPs tell us how many currency units a given quantity of goods and services costs in different countries. PPPs can thus be used as currency conversion rates to convert expenditures expressed in national currencies into an artificial common currency, the purchasing power standard (PPS), eliminating the effect of price level differences across countries. The main use of PPPs is to convert national accounts aggregates into comparable volume aggregates. Applying nominal exchange rates in this process would overestimate the disposable income of countries with high price levels relative to countries with low price levels. The use of PPPs ensures that the adjusted disposable of all countries is valued at a uniform price level and thus reflects only differences in the actual volume of the economy. The indicator is based on data from annual non-financial sector accounts. For more information please refer to Eurobase domain nasa_10_nf_tr. For data on purchasing power parities please refer to Eurobase domain prc_ppp_ind. For data on resident population please refer to Eurobase domain nama_10_pe.
  • S
    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 मार्च, 2018
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    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2019
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      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • नवम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2019
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      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 जून, 2019
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  • T
    • अक्तूबर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2019
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      The real gross disposable income of households per capita (index = 2008) is calculated as the unadjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the price deflator (price index) of household final consumption expenditure and by the total resident population. Then the indicator is indexed with base year 2008. The indicator is based on European sector accounts.
    • अप्रैल 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 23 अप्रैल, 2019
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      Definition:Time use represents the average time spent on an activity per day (hours and minutes per day). All persons are included, whether they have performed this activity or not, and all days of the week, as well as working and holiday periods are included. Domestic work includes the following: Food preparation, dish washing- Food preparation comprises all activities connected with the preparation of meals, snacks, drinks; it also includes baking and preserving as well as setting the table and serving. Dish washing also includes connected activities before and after washing up, e.g. cleaning the table after a meal and putting the rest of the food into the fridge, drying up, tidying away dishes, and loading and uploading the dishwasher. Cleaning and other upkeep - Cleaning dwelling includes vacuuming, washing and waxing of floors, washing windows, making beds, tidying, arranging the home, sorting papers, bottles, tins, etc. Other upkeep includes cleaning the yard, heating and water supply, and various arrangements at home, such as looking for lost items, packing and unpacking, or tending to houseplants. Laundry, ironing, handicrafts and textile products - Laundry includes loading and uploading of washing machine, hand washing, hanging out and putting away laundry when not ironed or mangled. Ironing comprises mangling and connected tasks, such as folding and putting textiles into the wardrobe. Handicraft and care for textiles consists of making new products, such as knitting, needlework, sewing by machine or hand, or weaving. Repairing and caring for clothes and shoes also come under this category. Handicraft as a simultaneous activity, e.g. while watching TV, is not included. Gardening, constructions and repairs – Gardening includes all kinds of work in the kitchen garden, tending and harvesting vegetables, etc. It also comprises tending to outdoor plants and flowers, mowing the lawn, etc. It also comprises tending domestic animals, which is not done in connection with farming. Construction and repairs comprise all kinds of major construction, renovation and repairs of the dwelling, garage or outhouse, as well as indoor repairs, making and repairing equipment, vehicle maintenance, etc. Shopping and services – Shopping includes purchasing consumer and capital goods, browsing at shops or markets. Services include visiting public offices, and commercial or personal services. Trips connected with shopping are excluded when separated in the diary. Child care – Covers active care given to a child living in own household, including physical care, teaching, reading, playing and talking with a child, accompanying a child to a doctor, visiting a school etc. Going together to the cinema, watching TV with a child, are excluded. Adult care – Covers adult assistance and care (except housework) given to an adult living in own household, including physical care of a sick or elderly adult; washing, cutting hair, massaging; mental help, information and advice; accompanying to a doctor; and visits to hospitals. General note: Data are reported in number of hours, where decimals represent hundredths of an hour (e.g, 1.75 should be read 1 hour and 45 minutes; 0.20 should be read 12 minutes). .. - data not available Country: Armenia Data refer to October 2008 and to the population aged 15-80. Country: Austria Country: Belarus Adult care data included in other activities. Country: Bulgaria Reference period (2002): Data refer to 2001-2002. Country: Bulgaria Reference period (2010): Data refer to 2009-2010. Country: Canada Change in definition (1990 - 2010): Data refer to population aged 20 to 74. Country: Canada Reference period (1990): Data refer to 1992. Country: Canada Reference period (1995): Data refer to 1997. Country: Canada Territorial change (1990 - 2010): Data cover 10 provinces only. Country: Denmark Data covers persons who have been active in the category. Data refer to the population aged 16-74. 1990: data refer to 1987. 2009: Data refer to 2008-2009. 2009 onward: categories comply with definition, whereas earlier years had fewer categories included in domestic work. Country: Estonia Reference period (2000): Data refer to 1999-2000. Country: Estonia Reference period (2010): Data refer to 2009-2010. Country: France 2000: data refer to 1998-1999. 2010: data refer to 2009-2010. Data cover only Metropolitan France. Country: Germany Reference period (2001): Data refer to the period from April 2001 to March 2002 Country: Germany Change in definition (2001): Data refer to the population aged 20-74. Country: Greece Other activites include household management (planning and arranging, budgeting, paperwork, making a shoppihg list, arranging and supervising outside services at home). All persons are included. Country: Hungary 2000: data refer to 1999-2000. 2010: data refer to 2009-2010. Country: Italy 2002: data refer to 2002-2003; 2008: data refer to 2008-2009; 2014: data refer to 2013-2014. Data refer to population aged 20-74. For all years activities are coded according to the last Harmonized European Time Use Survey Guidelines (HETUS 2008). Country: Kazakhstan Additional information (2003): The structure of time use within 7 days (man / hours per week). Data refer to the age group 16 years and older. Country: Kazakhstan Additional information (2006): The structure of time use within 7 days (man / hours per week). Data refer to the age group 18 years and older. Country: Kazakhstan Additional information (2012): The structure of time use within 7 days (man / hours per week). Data refer to the age group 10 years and older. Country: Luxembourg Data refer to the population aged 10-74. Country: Netherlands Break in methodlogy (2006): Data is collected according to the Harmonised European Time Use Survey (HETUS) replacing the original Dutch Time Use Survey. Country: Norway 2010: data refer to 2010-2011. Country: Poland 2004: data refer to 2003-2004. Country: Romania Reference period (2000): Data refer to August and September 2000. Country: Romania Reference period (2011 - 2012): Statistical survey on time use (TUS), carried out in households during september 2011 - september 2012 Country: Serbia Data do not cover Kosovo and Metohija. 2010 data refer to 2010-2011. Country: Spain 2003: data refer to 2002-2003. Country: Sweden Change in definition (2000-onwards): Other activities include unspecified household and family care, household management and help to an adult household member. Data refer to the population aged 20-64. Country: Sweden Reference period (2000): Data refer to 2000-2001. Country: Sweden Reference period (2010): Data refer to April 2010-March 2011 Country: Switzerland Reference period (1995): Data refer to 1997. Country: The former Yugoslav Republic of Macedonia Reference period (2014): Time Use Survey was carried out over a period of 12 months, from May 2014 until April 2015. Country: Turkey For 2006 the data refer to persons aged 15+. For 2015 the data refer to persons aged 10+.
  • W
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 जून, 2019
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      Waste generated by households (EP-HH) by year and waste category (EWC-Stat 4).
    • जुलाई 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 02 जुलाई, 2019
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      While much of the comparative evidence on inequalities that is currently available refers to household income, wealth is a critical dimension of households’ economic well-being. How wealth is distributed is important for equity and inter-generational mobility, but also for the stability of the economic system and for its resilience to shocks. While the lack of comparative evidence in this field reflects the absence of an agreed standard that statistical offices could use when collecting this information, this gap has been addressed by the OECD with the release in 2013 of a set of statistical guidelines in this field. In 2013, the OECD issued a set of ‘Guidelines’ for micro statistics on household wealth (OECD, 2013) and an increasing number of countries have engaged in the collection of micro statistics in this field (European Central Bank, 2013). Building on these initiatives as well as others, such as the Luxembourg Wealth Study (Sierminska et al, 2006) which have informed previous OECD analysis (Jantii et al., 2008), the OECD has now collected a new set of data on the distribution of household wealth for 18 OECD countries, based on the set of conventions and classifications proposed in the 2013 OECD Guidelines.

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