Canada

The data are three-month interbank rates which are no longer updated. The series represent interest rates of countries which have now joined the euro area.

The 3-months interest rate is a representative short-term interest rate series for the domestic money market. From January 1999, the euro area rate is the 3-month "EURo InterBank Offered Rate" (EURIBOR) EURIBOR is the benchmark rate of the large euro money market that has emerged since 1999. It is the rate at which euro InterBank term deposits are offered by one prime bank to another prime bank. The contributors to EURIBOR are the banks with the highest volume of business in the euro area money markets. The panel of banks consists of banks from EU countries participating in the euro from the outset, banks from EU countries not participating in the euro from the outset, and large international banks from non-EU countries but with important euro area operations. Monthly data are calculated as averages of daily values. Data are presented in raw form. Source: European Central Bank (ECB)

Number of unemployed persons by activity prior to unemployment, sex and age group, last 5 months.

Canada: Actual hours worked at main job by industry, monthly, seasonally adjusted, last 5 months

Number of employed persons by actual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.

Number of employed persons by actual hours worked, job type (main or all jobs), sex, and age group, last 5 months.

Number of employed persons by actual hours worked, National Occupational Classification (NOC) and sex, last 5 months.

The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircraft. Data are transmitted to Eurostat by EU Member States, EFTA countries and some other reporting cuntries. Data are compiled following the provisions of the Regulation (EC) N°1358/2003, implementing Regulation N°437/2003 of the European Parliament and of the Council on statistical returns in respect of the carriage of passengers, freight and mail by air.  The air transport data are collected at airport level. As from 2003 reference year the data are provided according to the legal act (some countries were given derogation until 2005). Until 2002 partial information (passenger transport only) are available for some countries and airports. Airports handling less than 15 000 passenger units annually are excluded from the scope of the Regulation. Datasets A1 and B1 are provided on monthly basis, while dataset C1 can be provided either on monthly or annual basis. For some countries optional variable - total number of transfer passengers - is provided as well. The data are disseminated by Eurostat in on-line database in four sub-domains:Air Transport measurement - PassengersAir Transport measurement - Freight and mailAir Transport measurement - Traffic data by airports, aircraft and airlinesAir Transport measurement - Data aggregated at standard regional levels (NUTS). The two first domains contain several data collections:Overview of the air transport by country and airport,National air transport by country and airport,International intra-EU air transport by country and airport,International extra-EU air transport by country and airport,Detailed air transport by reporting country and routes. In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Traffic by airports, aircraft and airlines": - Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by airport are  broken down by total passengers carried, total transit passengers, total transfer passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircrafts movements. the data is presented at monthly, quarterly and annual level. The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables:Air transport of passengers at regional levelAir transport of freight at regional level The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of the regulatory data collection on air transport. More information can be found in Regional transport statistics metadata file. For more details on datasets, data validation and issemination refer also to  Reference Manual on Air Transport Statistics available in the Annex part of the metadata.

The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircraft. Data are transmitted to Eurostat by EU Member States, EFTA countries and some other reporting cuntries. Data are compiled following the provisions of the Regulation (EC) N°1358/2003, implementing Regulation N°437/2003 of the European Parliament and of the Council on statistical returns in respect of the carriage of passengers, freight and mail by air.  The air transport data are collected at airport level. As from 2003 reference year the data are provided according to the legal act (some countries were given derogation until 2005). Until 2002 partial information (passenger transport only) are available for some countries and airports. Airports handling less than 15 000 passenger units annually are excluded from the scope of the Regulation. Datasets A1 and B1 are provided on monthly basis, while dataset C1 can be provided either on monthly or annual basis. For some countries optional variable - total number of transfer passengers - is provided as well. The data are disseminated by Eurostat in on-line database in four sub-domains:Air Transport measurement - PassengersAir Transport measurement - Freight and mailAir Transport measurement - Traffic data by airports, aircraft and airlinesAir Transport measurement - Data aggregated at standard regional levels (NUTS). The two first domains contain several data collections:Overview of the air transport by country and airport,National air transport by country and airport,International intra-EU air transport by country and airport,International extra-EU air transport by country and airport,Detailed air transport by reporting country and routes. In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Traffic by airports, aircraft and airlines": - Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by airport are  broken down by total passengers carried, total transit passengers, total transfer passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircrafts movements. the data is presented at monthly, quarterly and annual level. The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables:Air transport of passengers at regional levelAir transport of freight at regional level The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of the regulatory data collection on air transport. More information can be found in Regional transport statistics metadata file. For more details on datasets, data validation and issemination refer also to  Reference Manual on Air Transport Statistics available in the Annex part of the metadata.

Statistics Name: Current Survey of Supply and Demand for Petroleum Products

Accommodation statistics are a key part of the system of tourism statistics in the EU and have a long history of data collection. Annex I of the Regulation (EU) 692/2011 of the European Parliament and of the Council deals with accommodation statistics and includes 4 sections focusing on accommodation statistics of which sections 1 and 2 include the requirements concerning rented accommodation (capacity and occupancy respectively). Data are collected by the competent national authorities of the Member States and are compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Most of the time, data are collected via sample or census surveys. However, in a few cases data are compiled from a demand-side perspective (i.e. via visitor surveys or border surveys). Surveys on the occupancy of accommodation establishments are generally conducted on a monthly basis. The concepts and definitions used in the collection of data shall conform to the specifications described in the Methodological manual for tourism statistics. Accommodation statistics comprise the following information: Monthly data on tourism industries (NACE 55.1, 55.2 and 55.3) Monthly occupancy of tourist accommodation establishments: arrivals and nights spent by residents and non-residents Net occupancy rate of bed-places and bedrooms in hotels and similar accommodation Annual data on tourism industries(NACE 55.1, 55.2 and 55.3) Occupancy of tourist accommodation establishments: arrivals and nights spent by residents and non-residents Capacity of tourist accommodation establishments: number of establishments, bedrooms and bed places Regional data  Annual occupancy (arrivals and nights spent by residents and non-residents) of tourist accommodation establishments at NUTS 2 level, by degree of urbanisation and by coastal/non-coastal area Annual data on number of establishments, bedrooms and bed places at NUTS 2 level, by degree of urbanisation and by coastal/non-coastal area Data on number of establishments, bedrooms and bed places are available by activity at NUTS 3 level until 2011. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.

Eurostat Dataset Id:tour_occ_arnrmw National data Monthly and annual data on arrivals, nights spent and occupancy rates at tourist accommodation establishments. Regional data Annual arrivals, nights spent at tourist accommodation establishments at NUTS 2 level. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.

Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) No 862/2007 with reference to:Asylum and first time asylum applicants by age, sex and citizenshipPersons subject to applications pending at the end of reference period by age, sex and citizenshipApplications for asylum withdrawn by age, sex and citizenshipAsylum applicants considered to be unaccompanied minors by age, sex and citizenship These data are supplied to Eurostat by the national Ministries of Interior and related official agencies. Data is presented by country and for groups of countries: the European Union (EU28, EU27) and the European Free Trade Association (EFTA). Data has been rounded to the nearest 5.

Asylum applicant means a person having submitted an application for international protection or having been included in such application as a family member during the reference period. New asylum applicant means a person having submitted an application for international protection for the first time.

Australia's international merchandise trade statistics record goods which add to or subtract from the stock of material resources of Australia by entering (imports) or leaving (exports) its territory. Goods simply transported through Australia (goods in transit), or temporarily admitted or withdrawn, do not add to or subtract from Australia's stock of material resources and are not included in Australia's international merchandise trade statistics.

Australia's international merchandise trade statistics record goods which add to or subtract from the stock of material resources of Australia by entering (imports) or leaving (exports) its territory. Goods simply transported through Australia (goods in transit), or temporarily admitted or withdrawn, do not add to or subtract from Australia's stock of material resources and are not included in Australia's international merchandise trade statistics.

This release contains statistics on the travel movements of persons arriving in, and returning to, Australia.

U.S. sales figures for U.K. ,U.S. and Canada for the overall auto industry.

Auto sales Summary based on Brand of montlhy and annual basis.

Auto sales Summary based on corporations on montlhy and annual basis.

Auto sales Summary based on Brand-Model of monthly basis.

Number of average usual hours and average actual hours worked in a reference week by type of work (full- and part-time employment), job type (main or all jobs), sex, and age group, last 5 months.

Average usual hours and wages of employees (full- and part-time) by age group, sex, union coverage, job permanency, and National Occupational Classification (NOC), last 5 months.

The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .

The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for:balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment, international investment position and net external debt at the end of reference quarter or year. Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.

Eurostat Dataset Id:bop_euins_m Balance of Payments data for the European Institutions (BoP EUI) are a complete data-set of Balance of Payments data where the European Institutions are the reporter and the partners are all the Member States and all the other countries in the world. In more concrete terms, BoP of the EU Institutions (EUI) provides information on money received (credits) and money spent (debits) by the EU Institutions. In the compilation of BoP EUI, Eurostat follows the methodology defined in the fifth IMF Balance of Payments Manual (BPM5) and the prescriptions provided by the European System of Accounts (ESA95).  The balance of payments (BoP) is a statistical statement that systematically summarizes, over a given period of time, all the transactions of an economy (the EU institutions) with the rest of the world (each of the EU Member States and each of the countries with whom the EU institutions have economic transactions). The balance of payments provides information on the total value of credits (flow 2, exports/money received) and debits (flow 3, imports/money spent) for each BoP item and on the net result or "balance" (flow 4, credits minus debits) of the transactions with each partner. Credits and debits are expressed in Euro. The BoP EUI is complemented by the statistics related to the International Investment Position (IIP) of the EUI that provides information on the stocks (flow 8) of assets and liabilities at the end of each year. The position (or stocks) at the end of each specific period reflects financial transactions (flow 2, 3 and 4), valuation changes and other adjustments (flows 5, 6 and 7) that occurred during the period and affected the level of assets or liabilities. The Balance of Payments accounts are constructed on a double-entry accounting system. When the EU Institutions buy a service (e.g. rent a building) from a Member State, they will pay via a credit transfer from a bank account. BoP EUI will record this transaction twice, once as a service import/Debit in the Current Account, once as a decrease (Flow 2/credits) in Assets, Currency and Deposits, Financial Account.  

The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The capital account in the international accounts shows a) capital transfers receivable and payable between residents and nonresidents and b) the acquisition and disposal of nonproduced, nonfinancial assets between residents and nonresidents (BPM6- 13.1). The capital transfers are transfers in which the ownership of an asset (other than cash or inventories) changes from one party to another. The sum of the balances on the current and capital accounts represents the net lending (surplus) or net borrowing (deficit) by the economy with the rest of the world (BPM6 – 2.18). Source of euro area data: European Central Bank (ECB).

The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The current account is an important grouping of accounts within the Balance of Payments. The current account balance shows the difference between the sum of exports and income receivable and the sum of imports and income payable (exports and imports refer to both goods and services, while income refers to both primary and secondary income). The value of current account balance equals the saving-investment gap for the economy. The balance of current account is thus related to understanding domestic transactions (BPM6 – 2.15). Data are expressed in million euros. Data are presented in raw form. Source of euro area data: European Central Bank (ECB).

The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The capital account in the international accounts shows a) capital transfers receivable and payable between residents and nonresidents and b) the acquisition and disposal of nonproduced, nonfinancial assets between residents and nonresidents (BPM6- 13.1). The capital transfers are transfers in which the ownership of an asset (other than cash or inventories) changes from one party to another. The sum of the balances on the current and capital accounts represents the net lending (surplus) or net borrowing (deficit) by the economy with the rest of the world (BPM6 – 2.18). Source of euro area data: European Central Bank (ECB).

The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The financial account shows net acquisition and disposal of financial assets and liabilities The financial account indicates the functional categories, sectors, instruments, and maturities used for net international financing transactions. (BPM6 – 8.1). Five functional categories of investment are distinguished in the international accounts: a) direct investment, b) portfolio investment, c) financial derivatives and employee stock options, d) other investment and e) reserve assets. (BPM6 – 6.1). Source of euro area data: European Central Bank (ECB).

The International trade balance indicator is the difference between exports and imports of goods. Exports of goods record flows from an EA/EU Member State to a non-EA/EU country while imports record inwards flows. Exports are expressed in value terms and measured free on board (FOB), while imports are expressed in value terms and measured "cost, insurance, freight" (CIF ). "Goods" means all movable property including electric current. Data are expressed in million euros. Data are presented in the calendar and seasonally adjusted form.

The International trade balance indicator is the difference between exports and imports of goods. Exports of goods record flows from an EA/EU Member State to a non-EA/EU country while imports record inwards flows. Exports are expressed in value terms and measured free on board (FOB), while imports are expressed in value terms and measured "cost, insurance, freight" (CIF ). "Goods" means all movable property including electric current. Data are expressed in million euros. Data are presented in the calendar and seasonally adjusted form.

Data cited at : https://www.bis.org/statistics/index.htm

The collection of 'Telecommunication Services' statistics covers the following indicators: (1) Employment in telecommunication The indicator gives the total number of people employed in telecommunication services and the number of people employed in fixed and mobile telecommunication and Internet service provision. Employment is converted into full time equivalent units, average of the year. (2) Investment The indicator gives the total gross investment (in Mio euro) in tangible goods i.e. investment for acquiring property (land and buildings) and plant (e.g. switching equipment, transmission equipment, office machinery, and motor vehicles), and investment in fixed telecommunication networks (excluding cable TV services), mobile telecommunications: GSM and GPRS, mobile telecommunications: UMTS (excluding licenses), and in other telecommunication networks (Internet, satellite and cable telecommunication equipment and infrastructure other than for broadcasting). (3) Turnover The indicator gives the total turnover (in Mio euro) from all telecommunication services and turnover from leased lines, fixed network services, cellular mobile telecommunication services, interconnection services and Internet service provision. (4) International receipts and payments The indicator gives the total revenue (receipts, payments) from international incoming and outgoing telecommunication traffic, in Mio euro. Incoming telecommunication traffic: income received from foreign telephone operators for completing calls originating in foreign country. Outgoing telecommunication traffic: charges received from subscribers for placing outgoing calls after deduction of the share of this income to be paid to other organisation for outgoing telecommunication traffic (operators of the incoming and possibly transit countries). (5) International calls The indicator gives the amount (in 1000 minutes) of international incoming (originating outside the country with a destination inside the country) and outgoing (originating inside the country to destinations outside the country) calls in fixed and cellular networks. (6) Traffic The indicator gives the total amount of national calls and the amount of local calls, national long distance calls, cellular mobile calls, minutes of internet connection, calls from fixed to mobile and mobile to fixed networks, calls within mobile networks and calls from mobile to mobile networks (in 1000 minutes). (7) SMS (short message service) The indicator gives the total number of SMS (text messages) sent (in thousands). (8) Access to networks (in thousands) The indicator gives the number of main telephone lines and subscriptions to the services of the operators offering mobile telecommunication services and the number of leased lines, ISDN subscriptions, DSL subscriptions, Internet subscriptions and subscriptions to cable networks enabling internet use, number of connections to telecommunication networks through electricity networks (Power Line Communication - PLC), subscriptions to mobile telecommunication systems enabling use of UMTS and the number of users of Voice over Internet Protocol telephony, in thousands. (9) Access to networks (per 100 inhabitants) The indicator gives the number of main telephone lines and subscriptions to the services of the operators offering mobile telecommunication services per 100 inhabitants. (10) Household share of main telephone lines The indicator gives the share of main telephone lines for residential use (i.e. lines which are not used for business, government or other professional purposes or as public telephone stations) as a percentage of total main telephone lines. (11) Operators and service providers The indicator gives the number of fixed network operators offering local and long distance national telecommunications (facilities based or resale) and international telecommunications, and the number of cellular mobile operators (digital or analogous, facilities based or resale), cable and satellite service providers (excluding pure programme distribution) and internet service providers (access and backbone services). (12) Broadband penetration rate  This indicator shows how widely broadband access to the internet has spread in the countries on the general level, not specifying by user group. (13) Prices of telecommunication The indicator gives the price in Euro of a 10 minute call at 11 am on a weekday (including VAT) for a local call (3km), national long distance call (200km) and an international call (to USA). The prices refer to the month of August for the period 1998-2005, and to the month of September from 2006 onwards. Tariffs without special rates are used. (14) Market shares in telecommunication This covers two structural indicators: market share of the incumbent in fixed telecommunications by type of call (local, long distance and international calls) and market share of the leading operator in mobile telecommunications. (15) Information technology expenditure in millions of euro and as a percentage of GDP Data refer to the expenditure for information and communication technology in millions of euro and as a percentage of GDP, with breakdown by expenditure for telecommunications and IT expenditure. Data in millions of euro are coming from the annual report of the European Information Technology Observatory (EITO).

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms: UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesCONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesSERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

The monthly Building Permits Survey collects data on the value of permits issued by Canadian municipalities for both residential and non-residential buildings, and the number of residential dwellings authorized. The survey also measures the number of dwelling units demolished.

The objective of the building permit index is to show the future development of construction activity in terms of per square meter of useful floor. The current base year is 2015 (Index 2015 = 100). The index is presented in seasonally adjusted form. Growth rates with respect to the previous month (M/M-1) are calculated from seasonally adjusted figures while growth rates with respect to the same month of the previous year (M/M-12) are calculated from raw data.

The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.   Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators.   The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.   Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.

This table contains 118 series, with data for years 1990 - 2015 (not all combinations necessarily have data for all years), and was last released on 2015-12-21. This table contains data described by the following dimensions (Not all combinations are available): Geography (47 items: Prince Edward Island; Atlantic provinces; Newfoundland and Labrador; Canada ...), Type of unit (6 items: Total units; Single-detached units; Semi-detached units; Multiples ...).

This table contains 118 series, with data for years 1990 - 2015 (not all combinations necessarily have data for all years), and was last released on 2015-12-21. This table contains data described by the following dimensions (Not all combinations are available): Geography (47 items: Canada; Atlantic provinces; Prince Edward Island; Newfoundland and Labrador ...), Type of unit (6 items: Total units; Single-detached units; Multiples; Semi-detached units ...).

This table contains 13 series, with data for years 1990 - 2015 (not all combinations necessarily have data for all years), and was last released on 2015-12-08. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Prince Edward Island; Newfoundland and Labrador; Atlantic provinces ...).

This table contains 18 series, with data for years 1988 - 2015 (not all combinations necessarily have data for all years), and was last released on 2015-12-21. This table contains data described by the following dimensions (Not all combinations are available): Geography (18 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island ...).

Building permits, by type of structure, for provinces and territories, seasonally adjusted data, dollars and units, in percentage change, monthly from 1977 to today.

Building permits, non-residential values by type of structure for Canada, provinces and territories, monthly data from 1978 to today.

Building permits, number of units by type of dwelling and area for Canada, provinces and territories, monthly data from 1978 to today.

Building permits, residential values and number of units by type of dwelling for Census Metropolitan areas (CMA), monthly data from 1957 to today.

Building Permits, values by activity sector for Canada, provinces and territories, monthly data from 1948 to today.

Building permits, values by activity sector and area for Canada, provinces and territories, monthly data from 1978 to today.

Data presented at the national and provincial levels, by coal types and uses (bituminous, sub-bituminous, etc.) and by volume of production and exports. Not all combinations are available.

Supply and disposition characteristics such as production (fuels include heavy crude, synthetic crude, etc.), disposition to refineries in other provinces, exports, and others. The data are available at the national and provincial levels. Not all combinations necessarily have data for all years.

Number of employment insurance claims received and allowed, by province and territory and type of claim, last 5 months.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by census metropolitan area. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by economic region. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change. Data are also available for the standard error of the estimate and the standard error of the year-over-year change.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by territory, sex and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Number of multiple jobholders by usual hours worked at main job and all jobs, last 5 months.

Data presented at the national and provincial levels for the supply of processing plant products, including propane, butane, ethane and sulphur. Not all combinations are available.

Data presented at the national, provincial, and regional levels, by activity (exports and imports) and by estimates of volume. Not all combinations are available.

Data presented at the national and provincial levels for receipts and disposition, including transfers and storage, among others. Not all combinations are available.

Data presented at the national and provincial levels for monthly supply and disposition of natural gas. Not all combinations are available.

Data presented at the national and provincial levels, by pipeline movements (net receipts, transfers, etc) for liquid hydrocarbons (crude oil and pentanes plus). Not all combinations are available.

This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by province, type of student during summer months, sex, and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

This table contains 256 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (8 items: Canada; Quebec; Ontario; Manitoba; ...), Products (2 items: Crude oil and equivalent products; Propane, butane, and other products), Pipeline (8 items: Imports; Receipts from fields and plants; Other receipts; Exports; ...), Statistics (2 items: Cubic metres; Barrels).

Data cited at : https://www.bis.org/statistics/index.htm

The data are central government bond yields which are no longer updated.

Note: Import and Export values for the month January and February 2020 are not available at source. HS Classified Names are as per https://www.seair.co.in/hs-codes/china.aspx

Preliminary Release: China's Total Export & Import Values ​​by Country/Region (in USD)

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Les données ventilées par niveau d'éducation sont présentées avec référence au plus haut niveau de scolarité complété, selon la Classification internationale type de l'éducation (CITE). Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITE. Pour plus d'informations, reportez-vous à la description de la base de données Indicateurs sur l'éducation et l'inadéquation (EMI).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données des statistiques du marché du travail rural et urbain (RURBAN).

Climate Change Knowledge Portal, Temperature and Rainfall: Historical Data (CRU Observed)

Climate Change Knowledge Portal: CMIP6 Mean Projections

Meteorology and Hydrology Statistics of Lao PDR. This data set contains information of The statistics yearbook 2017 is compiled and published by Lao statistics Bureau, Ministry of Planning and Investment. Lao statistics Bureau of expressing gratitude provincial statistics Centre, line ministries involved, ministry-equivalent agencies and other parties to contribute to compile statistical data Economic, Social and Natural Resources and Environment cooperation throughout, Lao Statistics Bureau welcome the proposal, comments and feedback to guide the improvement this magazines better. Meanwhile, the Lao Statistics Bureau express thanks to highly among those interested in using information and statistics to Lao Statistics Bureau.

Commercial sales of milk and cream, Canada and provinces (in kilolitres). Data are available on a monthly basis.

Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.

Business surveys provide a rapid means of compiling simple statistics with the results available before those of traditional statistical methods, and provide also information on areas not covered by quantitative statistics. Details provided by respondents are generally of very high quality since the questions related to subjects with which they are familiar, thus the past and future performance of their business is highly reliable. Similarly, consumers provide a very high quality information on their purchasing information and price trend. Source: DG ECFIN

Eurostat Dataset Id:ei_bsbu_m_r2 Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)

Industry, Trade and Services statistics are part of Short-term statistics (STS), they give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification(Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are presented in the following forms: UnadjustedCalendar adjustedSeasonally-adjusted Depending on the STS regulation, data are accessible monthly and quarterly. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction Index*Turnover IndexProducer Prices (Domestic Output Prices index)*Import Prices Index*: Total, Euro area market, Non euro area market (euro area countries only)Labour Input Indicators: Number of Persons Employed, Hours Worked, Gross Wages and SalariesCONSTRUCTIONProduction Index*: Total of the construction sector, Building construction, Civil EngineeringLabour input indicators: Number of Persons Employed, Hours Worked, Gross Wages and SalariesConstruction costs IndexBuilding permits indicators*: Number of dwellingsWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (in value)Labour input indicators: Number of Persons EmployedSERVICES  Turnover Index* Producer prices (Ouput prices)*

Eurostat Dataset Id:ei_bsbu_m Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)

Eurostat Dataset Id:ei_bsbu_m_bc Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)

Industry, Trade and Services statistics are part of Short-term statistics (STS), they give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification(Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are presented in the following forms:UnadjustedCalendar adjustedSeasonally-adjusted Depending on the STS regulation, data are accessible monthly and quarterly. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction Index*Turnover IndexProducer Prices (Domestic Output Prices index)*Import Prices Index*: Total, Euro area market, Non euro area market (euro area countries only)Labour Input Indicators: Number of Persons Employed, Hours Worked, Gross Wages and Salaries CONSTRUCTIONProduction Index*: Total of the construction sector, Building construction, Civil EngineeringLabour input indicators: Number of Persons Employed, Hours Worked, Gross Wages and SalariesConstruction costs IndexBuilding permits indicators*: Number of dwellings WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (in value)Labour input indicators: Number of Persons Employed SERVICES Turnover Index*Producer prices (Ouput prices)*

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms: UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesCONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesSERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Construction union wage rate index (CUWRI) by National Occupational Classification (NOC). Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2007=100).

Data cited at: Consumer price indexes, The International Monetary Fund Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

Consumer Price Index of UAE

Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100. 

The FAOSTAT monthly CPI Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.

The 'Consumer Price Indices (CPIs)' contains all data that was previously contained in three different datasets: 'Consumer Prices', 'National Consumer Price Indices (CPIs) by COICOP divisions' and 'Harmonised Indices of Consumer Prices (HICPs) by COICOP divisions'. The 'Consumer Price Indices (CPIs)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and for some non-member countries. The ‘Consumer Price Indices (CPIs)' dataset contains statistics on Consumer Price Indices including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national annual inflation. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases, a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data).

Eurostat Dataset Id:ei_bsco_m Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)

Committee on Contributions: Contributions received for 2020 for the United Nations Regular Budget As of 23 September 2020, 121 Member States have paid their regular budget assessments in full.   Net assessment Date is the "Date of Payment" and Number of Member States values as at month end.

For the countries belonging to the euro area, these are factors for converting euro fixed series (NAC) into euro/ECU series, and vice-versa.

Heating degree day (HDD) is a weather-based technical index designed to describe the need for the heating energy requirements of buildings. Cooling degree day (CDD) is a weather-based technical index designed to describe the need for the cooling (air-conditioning) requirements of buildings. HDD and CDD are derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded HDD and CDD are aggregated and subsequently presented on NUTS 2 level. This dataset includes monthly data as published by the Joint Research Centre's AGRI4CAST Resources Portal. Note that Eurostat is not the producer of the monthly data, but is only re-publishing them. Annual data are calculated as sum of monthly data by Eurostat.

Correction coefficients (Extra-EU) are used to ensure equality of purchasing power of remuneration between different locations outside the European Union and Brussels. Correction coefficients are calculated as the ratio between the "economic parity" and the exchange rate to the Euro (where applicable). They operate as a percentage adjustment to remuneration expressed in local currency. As the correction coefficient is simply the economic parity divided by the exchange rate, it can be seen that the exchange rate effect cancels out and the economic parity is the appropriate conversion rate to convert amounts expressed in local currency into Euro and eliminate the effect of price level differences. The economic parity tells us how many currency units a given quantity of goods and services costs in different countries. The method used to establish economic parities is to compare the price of a basket of goods and services purchased by the average international official in Brussels with the price of an equivalent basket of goods and services purchased by the average international official in each of the other duty stations. To compile these prices, Eurostat carry out a number of detailed price surveys in cooperation with the United Nations International Civil Service Commission and the International Section on Remuneration and Prices of the Coordinated Organisations. For each item, the price ratio with Brussels is computed. Similar items are grouped into "basic headings", and a geometric mean of the price ratios is calculated to establish a basic heading parity. These basic heading parities are then aggregated to produce an overall parity. This aggregate is computed as a weighted arithmetic mean, using consumption expenditure pattern of international officials as weights.

Cost of health consulting services, diagnostics services and clinical procedures in major cities/towns and the public and private healthcare services points in each location.

Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.

Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics

Monthly data on crude oil imports by country and by oil type in Japan.

Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data

The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide 2003. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.

Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. Data cited at: https://www.ncei.noaa.gov/data/global-summary-of-the-day/archive/

Euro-zone series: Until December 1998 it is an aggregate of interbank deposit bid rates weighted by country GDP (Gross Domestic Product). Thereafter the rate is the EONIA (Euro OverNight Index Average), the effective overnight reference rate for the euro, computed as a weighted average of all overnight unsecured lending transactions in the interbank market, initiated within the euro area by the contributing panel banks. EONIA is computed with the help of the European Central Bank. EU15 series: Until December 1998, this is a theoretical rate based on an aggregation of day-to-day rates weighted by country GDP. Thereafter the rate is an average of the EONIA and the rates of the non-euro-zone countries, weighted by country GDP. National series: broadly speaking, these are day-to-day interbank rates. Source: European Central Bank.

Data series on decisions on asylum applications and resettlement contain statistical information based on Article 4 of the Council Regulation (EC) no 862/2007 with reference to:First instance decisions by age, sex and citizenshipFinal decisions by age, sex and citizenshipDecisions withdrawing status granted at first instance by type of status withdrawn and by citizenshipDecisions withdrawing status granted as final decisions by type of status withdrawn and by citizenshipResettled persons by age, sex and citizenship These data are supplied to Eurostat by the national Ministries of Interior and related official agencies. Data is presented country by country and for groups of countries: the European Union (EU28 and the European Economic Area (EEA). Data are rounded to the nearest 5.

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les demandeurs d'emploi découragés représentent les personnes en âge de travailler qui durant une période de référence spécifiée étaient sans travail et disponibles pour travailler, mais qui n'ont pas cherché de travail dans le passé récent à cause de raisons particulières (par exemple, croire qu'il n'y avait pas d'emplois disponibles, croire qu'il n'y avait pas d'emplois adaptés à leurs qualités, ou avoir abandonné l'espoir de trouver un emploi). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Data cited at: Direction of Trade Statistics, The International Monetary Fund. The Direction of Trade Statistics (DOTS) presents current figures on the value of merchandise exports and imports dis-aggregated according to a country's primary trading partners. Area and world aggregates are included in the display of trade flows between major areas of the world. Reported data is supplemented by estimates whenever such data is not available or current. Imports are reported on a cost, insurance and freight (CIF) basis and exports are reported on a free on board (FOB) basis, with the exception of a few countries for which imports are also available FOB. Time series data includes estimates derived from reports of partner countries for non-reporting and slow-reporting countries.

La main-d'oeuvre comprend toutes les personnes en âge de travailler qui fournissent, durant une période de référence spécifiée, la main-d'oeuvre disponible pour la production de biens et services. Elle correspond à la somme des personnes ayant un emploi et celles qui sont au chômage. Les données sont présentées par niveau d'éducation, faisant référence au plus haut niveau de scolarité complété, selon la Classification internationale type de l'éducation (CITE). Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données sont présentées par activité économique, qui fait référence à l'activité principale de l'établissement dans lequel la personne a travaillé pendant la période de référence, et ne dépend pas des tâches ou des fonctions spécifiques du travail de la personne, mais des caractéristiques de l'entité économique dans laquelle cette personne travaille. Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données sont présentées par niveau d'éducation, faisant référence au plus haut niveau de scolarité complété, selon la Classification internationale type de l'éducation (CITE). Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données sont présentées par activité économique, qui fait référence à l'activité principale de l'établissement dans lequel la personne a travaillé pendant la période de référence, et ne dépend pas des tâches ou des fonctions spécifiques du travail de la personne, mais des caractéristiques de l'entité économique dans laquelle cette personne travaille. Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données sont présentées par situation dans la profession utilisant la dernière version de la Classification internationale type de situation dans la profession (CISP-93). La situation dans la profession fait référence au type de contrat de travail explicite ou implicite que la personne a avec d'autres personnes ou organisations. Les critères de base utilisés pour définir les catégories de la classification sont le type de risque économique et le type d'autorité que les titulaires d'un emploi ont ou auront sur les établissements et les autres travailleurs. Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas pourvues d'un emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. À fin de faciliter la comparabilité internationale, la période de recherche d'emploi est souvent définie comme les quatre semaines précédentes, mais cela varie d'un pays à l'autre. Les dispositions spécifiques de recherche d'emploi peuvent inclure: l'inscription à un bureau de placement public ou privé; la candidature auprès d'employeurs; les démarches sur les lieux de travail, dans les fermes ou à la porte des usines, sur les marchés ou dans les autres endroits où sont traditionnellement recrutés les travailleurs; la publication ou la réponse à des annonces dans les journaux; les recherches par relations personnelles; la recherche de terrain, d'immeubles, de machines ou d'équipement pour créer une entreprise personnelle; les démarches pour obtenir des ressources financières, des permis et licences, etc. Les données sont présentées par durée du chômage. Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas pourvues d'un emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. À fin de faciliter la comparabilité internationale, la période de recherche d'emploi est souvent définie comme les quatre semaines précédentes, mais cela varie d'un pays à l'autre. Les dispositions spécifiques de recherche d'emploi peuvent inclure: l'inscription à un bureau de placement public ou privé; la candidature auprès d'employeurs; les démarches sur les lieux de travail, dans les fermes ou à la porte des usines, sur les marchés ou dans les autres endroits où sont traditionnellement recrutés les travailleurs; la publication ou la réponse à des annonces dans les journaux; les recherches par relations personnelles; la recherche de terrain, d'immeubles, de machines ou d'équipement pour créer une entreprise personnelle; les démarches pour obtenir des ressources financières, des permis et licences, etc. Les données sont présentées par niveau d'éducation, faisant référence au plus haut niveau de scolarité complété, selon la Classification internationale type de l'éducation (CITE). Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization.

1. ccTLDs stands for country code top-level domains. 2. gTLDs - stands for generic top-level domains.

Domestic Demand of Machine Tools in Japan

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

The industrial domestic output price index measures the average price development of all goods and related services resulting from the activity of the industry sector and sold on the domestic market. The domestic output price index shows the monthly development of transaction prices of economic activities. The domestic market is defined as customers resident in the same national territory as the observation unit. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial producer prices are compiled as a "fixed base year Laspeyres type price-index". The current base year is 2015 (Index 2015 =100). 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 presented in raw form.

Number of unemployed persons by duration of unemployment, sex and age group, last 5 months.

The Economic Sentiment Indicator (ESI) is a composite indicator made up of five sectoral confidence indicators with different weights: Industrial confidence indicator, Services confidence indicator, Consumer confidence indicator, Construction confidence indicator Retail trade confidence indicator. Confidence indicators are arithmetic means of seasonally adjusted balances of answers to a selection of questions closely related to the reference variable they are supposed to track (e.g. industrial production for the industrial confidence indicator). Surveys are defined within the Joint Harmonised EU Programme of Business and Consumer Surveys. The economic sentiment indicator (ESI) is calculated as an index with mean value of 100 and standard deviation of 10 over a fixed standardised sample period. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2). Source: DG ECFIN

The present data collection consists of the following indicators:Interest rates : Day-to-day money market interest rates, 3-month interest rates, Euro yields and Long term government bond yields - Maastricht definitionEuro/Ecu exchange rates: Exchange rates against the ECU/euroEffective exchange rates indices : Nominal Effective Exchange Rate, Real Effective Exchange Rate Â

Index for electric power selling price on at the Canada level. The index is released on a monthly basis. (2009=100) The index includes data for the current period, as well as those for the last four periods.

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilées par activité économique sont présentées conformément à la version plus récente de la Classification internationale type des industries (CITI) disponible. Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITI. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilées par profession sont présentées conformément à la version plus récente de la Classification Internationale Type des Professions (CITP) disponible. Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITP. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilés par situation dans la profession sont présentés conformément à la dernière version de la Classification internationale type de situation dans la profession (CISP-93). Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CISP. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilées par activité économique sont présentées conformément à la version plus récente de la Classification internationale type des industries (CITI) disponible. Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITI. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilées par niveau d'éducation sont présentées avec référence au plus haut niveau de scolarité complété, selon la Classification internationale type de l'éducation (CITE). Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITE. Pour plus d'informations, reportez-vous à la description de la base de données Indicateurs sur l'éducation et l'inadéquation (EMI).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Pour plus d'informations, reportez-vous à la description de la base de données des statistiques du marché du travail rural et urbain (RURBAN).

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, sex, and age group, last 5 months.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by permanent and temporary employees, union coverage, sex, and age group, last 5 months.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, sex, and age group, last 5 months.

Number of employees working overtime (weekly) and average overtime hours by North American Industry Classification System (NAICS), sex and age group, last 5 months.

Number of employees working overtime (weekly) and average overtime hours by National Occupational Classification (NOC), sex and age group, last 5 months.

Number of employees and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.

Number of employees and average weekly earnings (including overtime) for all employees by provinces, territories and North American Industry Classification System (NAICS), last 5 months.

Number of employees by class of worker, North American Industry Classification System (NAICS) and sex, last 5 months.

Number of employees by province, economic region and National Occupational Classification (NOC), last 5 months.

Number of employees by establishment size, North American Industry Classification System (NAICS), sex, and age group, last 5 months.

Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Number of employees by North American Industry Classification System (NAICS), province and economic region, last 5 months.

Number of employment insurance beneficiaries receiving regular income benefits by census metropolitan category, last 5 months.

Number of employment insurance beneficiaries receiving regular income benefits by province and territory, declared earnings, sex, and age group, last 5 months.

Canada: Employment insurance beneficiaries (regular benefits) by province, territory and occupation, monthly, seasonally adjusted

Number of employment insurance beneficiaries by detailed age group, total and regular income benefits, declared earnings, and sex, last 5 months.

Number of employment insurance beneficiaries by census division, total and regular income benefits, declared earnings, sex, and age group, last 5 months.

Number of employment insurance beneficiaries by census metropolitan category, total and regular income benefits, declared earnings, sex, and age group, last 5 months.

Benefit payments and number of benefit weeks of employment insurance benefits, by class of worker and type of income benefits, last 5 months.

Number of employment insurance claims received by province and territory, last 5 months.

Number of employment insurance benefit disqualifications and direitlements by reason, last 5 months.

Benefit payments and number of benefit weeks of employment insurance regular income benefits, last 5 months.

Number of employees, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, last 5 months.

Number of employees, average hourly and weekly earnings, and average weekly hours by North American Industry Classification System (NAICS) and type of employee, last 5 months.

Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Investment climate; office rents international comparison, 2001-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=71454eng&_theme=974 License: http://creativecommons.org/licenses/by/4.0/   This Dataset gives an overview of the costs of hiring office space in several countries. The indicator for the country concerned is based on the rent (including service costs and property tax) of high quality office space (class A). For example, the West End in London was selected for the United Kingdom, Amsterdam was selected for the Netherlands. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from: January 2001 up to April 2013. Status of the figures: The external source of these data frequently supplies adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table.    

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <

 International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, external trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner, - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, external trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner, - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

 International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, external trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner, - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, external trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner, - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term "exports" for all outward flows and "imports" for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat's classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data refer to macroeconomic indicators for the EU and euro area. Monthly (short-term indicators) and annual (long-term indicators) data are aggregated by broad product categories. Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC).Detailed data refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain product aggregations at higher levels.   Statistical dimensions Data periodicity (monthly or yearly) and product nomenclature (CN, SITC, BEC or CPA) differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;partner country: EU Member State, non-EU country or geo-economic area.reference period: month and/or year;trade flows: import and export; andproduct according to the relevant classification. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

A yield curve (which is known as the term structure of interest rates) represents the relationship between market remuneration (interest) rates and the remaining time to maturity of debt securities. The zero coupon yield curves and their corresponding time series are calculated using "AAA-rated" euro area central government bonds, i.e. debt securities with the most favourable credit risk assessment. They represent the yields to maturity of hypothetical zero coupon bonds. Source: European Central Bank.

A yield curve, also known as term structure of interest rates, represents the relationship between market remuneration (interest) rates and the remaining time to maturity of debt securities. The information content of a yield curve reflects the asset pricing process on financial markets. When buying and selling bonds, investors include their expectations of  future inflation, real interest rates and their assessment of risks. An investor calculates the price of a bond by discounting the expected future cash flows (coupon payments and/or redemption). ECB estimates zero-coupon yield curves for the euro area and also derives forward and par yield curves. A zero coupon bond is a bond that pays no cupon and is sold at a discount from its face value. The zero coupon curve represents the yield to maturity of hypothetical zero coupon bonds, since they are not directly observable in the market for a wide range of maturities. They must therfore be estimatedfrom existing zero coupon bonds and fixed coupon bond prices or yields.  The forward curve shows the short-term (instantaneous) interest rate for future periods implied in the yield curve. The par yield reflects hypothetical yields, namely the interest rates the bonds would have yielded had they been priced at par (i.e. at 100).

Note: For latest data, please contact us: https://knoema.com/contact  

The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for: balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment, international investment position and net external debt at the end of reference quarter or year. Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.

Eurostat Dataset Id:ei_bsci_m_r2 Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published: as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)

Eurostat Dataset Id:med_ec9 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

National currencies are converted in United States dollars (USD) using IMF monthly average conversion rates.

Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities: solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

Exports by Country for Senegal

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the reporting country and the rest of the world. Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The table indicates the seasonally adjusted values of the EU and euro-zone exports. Exports are valuated FOB (Free on Board), i.e. only incidental expenses (freight, insurance) incurred in the part of journey located on the territory of the reporting country are included. The raw values of the Member States are adjusted according to the number of working days on the basis of each national calendar and then seasonally adjusted before being aggregated to provide the EU and euro-zone totals.

If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statisticsMonthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)

Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data

Methodological explanationsSymbols usedSource: State Statistical OfficeYear2018preliminary data

The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.

Farm product price index (FPPI) for Canada and the provinces (index, 2007=100). Data are available on a monthly basis.

Farm product prices, crops and livestock, by province (in dollars per metric tonne unless otherwise noted). Data are available on a monthly basis.

Farm supply and disposition of grains as of March 31, July 31, August 31 (soybeans only) and December 31; data on supplies, production, stocks, deliveries, animal feed and waste for crops.

Monthly updates of FIFA World Football Men's Ranking 

The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide 2003. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.

Eurostat Dataset Id:ei_bsfs_m Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published: as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)

The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes.

Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) No 862/2007 with reference to:Asylum and first time asylum applicants by age, sex and citizenshipPersons subject to applications pending at the end of reference period by age, sex and citizenshipApplications for asylum withdrawn by age, sex and citizenshipAsylum applicants considered to be unaccompanied minors by age, sex and citizenship These data are supplied to Eurostat by the national Ministries of Interior and related official agencies. Data is presented by country and for groups of countries: the European Union (EU28, EU27) and the European Free Trade Association (EFTA). Data has been rounded to the nearest 5.

Data for broadband (except for broadband coverage), mobile telephony and financial indicators have been collected by the European Commission (DG CNECT) from responsible national authorities (national regulatory authorities or ministries). Questionnaires are sent annually or bi-annually (broadband data). The source for fixed telephony data is the International Telecommunication Union (ITU). Data are collected annually. There is no fixed release calendar. Data are usually released annually. The collection of 'Telecommunication Services' statistics presents the following main categories of characteristics: Fixed broadbandcoveragesubscriptions and penetrationsubscriptions by speedmarket share   Mobile broadbandcoveragesubscriptions  (not available until reference year 2013) and penetrationmarket share  (not available until reference year 2013)   Fixed telephonymain telephone lines   Mobile communicationssubscriptions and penetrationmarket sharerevenues   Telecommunications sectorrevenuesinvestments

Data for broadband (except for broadband coverage), mobile telephony and financial indicators have been collected by the European Commission (DG CNECT) from responsible national authorities (national regulatory authorities or ministries). Questionnaires are sent annually or bi-annually (broadband data). The source for fixed telephony data is the International Telecommunication Union (ITU). Data are collected annually. There is no fixed release calendar. Data are usually released annually. The collection of 'Telecommunication Services' statistics presents the following main categories of characteristics: Fixed broadbandcoveragesubscriptions and penetrationsubscriptions by speedmarket share   Mobile broadbandcoveragesubscriptions  (not available until reference year 2013) and penetrationmarket share  (not available until reference year 2013)   Fixed telephonymain telephone lines   Mobile communicationssubscriptions and penetrationmarket sharerevenues   Telecommunications sectorrevenuesinvestments

Data for broadband (except for broadband coverage), mobile telephony and financial indicators have been collected by the European Commission (DG CNECT) from responsible national authorities (national regulatory authorities or ministries). Questionnaires are sent annually or bi-annually (broadband data). The source for fixed telephony data is the International Telecommunication Union (ITU). Data are collected annually. There is no fixed release calendar. Data are usually released annually. The collection of 'Telecommunication Services' statistics presents the following main categories of characteristics: Fixed broadbandcoveragesubscriptions and penetrationsubscriptions by speedmarket share   Mobile broadbandcoveragesubscriptions  (not available until reference year 2013) and penetrationmarket share  (not available until reference year 2013)   Fixed telephonymain telephone lines   Mobile communicationssubscriptions and penetrationmarket sharerevenues   Telecommunications sectorrevenuesinvestments

Canada: Fixed weighted index of average hourly earnings for all employees, by industry, monthly Fixed weighted index (2002=100) of average hourly earnings for all employees, by North American Industry Classification System (NAICS), last 5 months.

The Food Price Monitoring Tool intends to analyse the available data on price developments through the supply chain. The supply chain is a series of economic activities that are performed by different economic actors that contribute to the production and distribution of one consumer product or a group of consumer products. The Food Price Monitoring Tool monitors 15 supply chains. It compares the price indices of four stages of the supply chain:Retail sector: the harmonised index of consumer prices (HICP)Domestic food industry: the domestic producer price index (PPId)Imported products: the import price index based on unit values from international trade in goods statisticsAgricultural commodities: the agricultural commodity prices index (ACP)

This table contains 16 series, with data starting from 1946 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Foreign currency assets and liabilities (16 items: Foreign currency assets; securities; Foreign currency assets; call loans; Total; foreign currency assets; Foreign currency assets; other loans ...).   Chartered banks, foreign currency assets and liabilities, at month-end, Bank of Canada

The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyzes or application

Annual statistics on external trade 1967 - 2016.

Foreign Trade Statistics of Myanmar

Nigeria Trade Statistics by Region and Major Trading Partners  

Data cited at: https://data.gov.om/OMFRTRD2016 this Data set covers the statistical indicators illustrating the development of trade between Oman and other countries, and classification of  merchandise exports, re-exports and merchandise imports by commodity group, nature of materials, their final utilization and port of entry.  It includes also a table on of the balance of payments estimates.   The commodity classification used in the presentation of foreign trade data is the Hormonised System, which has been adopted in Oman since 1987, in addition to the SITC Revision (4) for international comparison.  Commodity values are estimated in Rial Omani on the basis of the (C.I.F.) value for imports (i.e. the cost, insurance and freight of goods to the custom points in Oman) and (F.O.B.) for exports and re-exports.

Monthly summary on foreign trade statistics  

International Trade in Commodities in UAE

The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircraft. Data are transmitted to Eurostat by the Member States of the European Union as well as the Candidate Countries, Iceland, Norway and Switzerland. The air transport data have been calculated using data collected at airport level. The data are presented in four sub-domains: Air Transport measurement - PassengersAir Transport measurement - Freight and mailAir Transport measurement - Traffic data by airports, aircraft and airlinesAir Transport measurement - Data aggregated at standard regional levels (NUTS). The two first domains contain several data collections: Overview of the air transport by country and airport,National air transport by country and airport,International intra-EU air transport by country and airport,International extra-EU air transport by country and airport,Detailed air transport by reporting country and routes. In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Traffic by airports, aircraft and airlines": - Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by airport are broken down by total passengers carried, total transit passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircraft movements. The data is presented at monthly, quarterly and annual level. The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables: Air transport of passengers at regional levelAir transport of freight at regional level The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of the regulatory data collection on air transport. More information can be found in Regional transport statistics metadata file.

The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircraft. Data are transmitted to Eurostat by the Member States of the European Union as well as the Candidate Countries, Iceland, Norway and Switzerland. The air transport data have been calculated using data collected at airport level. The data are presented in four sub-domains: Air Transport measurement - PassengersAir Transport measurement - Freight and mailAir Transport measurement - Traffic data by airports, aircraft and airlinesAir Transport measurement - Data aggregated at standard regional levels (NUTS). The two first domains contain several data collections: Overview of the air transport by country and airport,National air transport by country and airport,International intra-EU air transport by country and airport,International extra-EU air transport by country and airport,Detailed air transport by reporting country and routes. In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Traffic by airports, aircraft and airlines": - Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by airport are  broken down by total passengers carried, total transit passengers, total transfer passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircrafts movements. the data is presented at monthly, quarterly and annual level. The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables: Air transport of passengers at regional levelAir transport of freight at regional level The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of the regulatory data collection on air transport. More information can be found in Regional transport statistics metadata file.

The Future of Business Survey is an original source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the survey is a partnership between Facebook, OECD, and the World Bank. It provides timely information on business owners’ assessment of the current state and future outlook of their business, job creation perspectives, main business challenges and participation in international trade. Several data breakdowns are available, in particular by size of the enterprise, age, sector, trading status and gender of owners or managers.

This dataset contains statistics on Consumer Price Indices - all items, for G20 countries and for the G20 as a whole.  The G20 area consists of the following economies: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Korea, Mexico, the Russian Federation, Saudi Arabia, South Africa, Türkiye, the United Kingdom, the United States, the African Union and the European Union. 

Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries (with the exception of Turkey) that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey. It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year’s relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). The table presents the data for all non-EU countries. The HICP tables for France, Germany, Italy, the United Kingdom, and the euro area and European Union can be found under the HICP tables.

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les données ventilées par activité économique sont présentées conformément à la version plus récente de la Classification internationale type des industries (CITI) disponible. Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITI. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."

Data cited at: Economic Policy Uncertainty The Global Economic Policy Uncertainty (GEPU) Index is a GDP-weighted average of national EPU indices for 20 countries: Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Ireland, Italy, Japan, Mexico, the Netherlands, Russia, South Korea, Spain, Sweden, the United Kingdom, and the United States.

Global Financial Stability Report, October 2023: Financial and Climate Policies for a High-Interest-Rate Era

Note: It has been observed that LMC Automotive has been acquired by GlobalData, and no relevant/latest data is available publically. Refer https://www.globaldata.com/industries-we-cover/automotive/  for further information.

Data cited at: Global Petrol Prices web site - https://www.globalpetrolprices.com/ License: https://creativecommons.org/licenses/by-nc/4.0/ Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013    

10-year government bond yields are reference rates, based on government bonds with a maturity close to 10 years.

Guest nights, by type of accommodation and country of residenceSvalbard is not defined as a county in the legal sense, but in official statistics Svalbard is treated in the same way as the other counties in Norway.

Statistics about processed meat products in Japan. The data includes production volume, imports, delivered volume, etc. (Japanese only). Japan: Ham & Sausage Processors Cooperative Association, Monthly Update

Harmonised Indices of Consumer Prices (HICP) give comparable measures of inflation for the countries and country groups for which they are produced. They are economic indicators that measure the change over time of the prices of consumer goods and services acquired by households. In other words, they are a set of consumer price indices (CPI) calculated according to a harmonised approach and a single set of definitions. In particular, HICP provide the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. HICP are available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the Monetary Union Index of Consumer Prices (MUICP or EA) covering the euro area countries, the European index of consumer prices (EICP or EU) including all Member States, and the European Economic Area index of consumer prices (EEAICP), which in addition to the EU also covers Iceland and Norway. The official country-group aggregates reflect the evolution of Economic and monetary union (EA), the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. In addition to these official aggregates, Eurostat also computes, for analytical purposes, country aggregates with stable composition over time. For example, the aggregate 'EU-28' shows price indices covering all current 28 Member States since 1997. HICP for Turkey (candidate country) is also published. For the USA, a proxy-HICP for the all-items and main headings is available. The national HICP is produced by National Statistical Institutes, while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database includes price indices and rates (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around one hundred sub-indices for different goods and services and over thirty special aggregates are made available. The relative weights for the indices, including the special aggregates, are published for the individual countries and for the country groups, once a year, with the January data. An early estimate of the overall inflation rate for the euro area, as well as for selected components, are published monthly, usually on the last working day of the reference month, both as a News Release and in the database. They are called 'HICP flash estimates'. HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes (e.g. VAT and excise duties) on the overall inflation (more information).

The Unemployment - LFS adjusted series (including also Harmonised long-term unemployment) is a collection of monthly, quarterly and annual series based on the quarterly results of the EU Labour Force Survey (EU-LFS), which are, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator. Harmonised unemployment is published in the section 'LFS main indicators', which is a collection of the main statistics on the labour market. However the harmonized unemployment indicators are calculated with special methods and periodicity which justify the present page. This page focuses on the particularities of the estimation of harmonised unemployment (including unemployment rates). Other information on 'LFS main indicators' can be found in the respective ESMS page, see link in section 'related metadata'. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)'.  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.

Unemployed persons comprise persons aged 15 to 74 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.

Unemployed persons comprise here persons aged 15 to 24 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.

Unemployed persons comprise here persons aged 25 to 74 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.

The unemployment rate represents unemployed persons as a percentage of the labour force based on International Labour Office (ILO) definition. The labour force is the total number of people employed and unemployed. Unemployed persons comprise persons aged 15 to 74 who: - are without work during the reference week; - are available to start work within the next two weeks; - and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. Data are presented in seasonally adjusted form.

The unemployment rate represents unemployed persons as a percentage of the labour force based on International Labour Office (ILO) definition, which here refers to the total number of employed and unemployed persons aged 15 to 24. Unemployed persons comprise here persons aged 15 to 24 who: - are without work; - are available to start work within the next two weeks; - and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. Data are presented in seasonally adjusted form.

The unemployment rate represents unemployed persons, based on International Labour Office (ILO) definition, as a percentage of the labour force, which here refers to the total number of employed and unemployed persons aged 25 to 74. Unemployed persons comprise here persons aged 25 to 74 who: - are without work; - are available to start work within the next two weeks; - and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. Data are presented in seasonally adjusted form.

The Unemployment - LFS adjusted series (including also Harmonised long-term unemployment) is a collection of monthly, quarterly and annual series based on the quarterly results of the EU Labour Force Survey (EU-LFS), which are, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator. Harmonised unemployment is published in the section 'LFS main indicators', which is a collection of the main statistics on the labour market. However the harmonized unemployment indicators are calculated with special methods and periodidicty which justify the present page. This page focuses on the particularities of the estimation of harmonised unemployment (including unemployment rates). Other information on 'LFS main indicators' can be found in the respective ESMS page, see link in section 'related metadata'. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)'.  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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes. The p, e, d and u flags described here do not affect the higher level of aggregation when assigned to a figure.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes. The p, e, d and u flags described here do not affect the higher level of aggregation when assigned to a figure.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes. The p, e, d and u flags described here do not affect the higher level of aggregation when assigned to a figure.

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and recommendations. In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro. The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three key country-group aggregate indices: the euro area, the European Union (EU), and the European Economic Area (EEA), which, in addition to the EU, also covers Iceland and Norway, but not Liechtenstein. The official country-group aggregates reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group aggregates with stable country composition over time. For example, the EU28 aggregate shows price indices covering all current 28 Member States since 1997. The HICP for Serbia and Turkey (candidate countries) are also published. That data are flagged 'd' ('definition differs'). A proxy-HICP for the all-items and main aggregates is available for the USA. National HICPs are produced by National Statistical Institutes (NSIs), while the country-group aggregates are produced by Eurostat. The data released monthly on Eurostat's free dissemination database include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline figure 'all-items HICP', around four hundred sub-indices for different goods and services and over thirty special aggregates are available, including the HICP at administered prices (HICP-AP). Once a year, with the release of the January data, the relative weights for the indices and the special aggregates, are published for the individual countries and for the European aggregates. The composition of the HICP-AP aggregates, i.e. which sub-indices are classified as mainly or fully administered by each Member State, is also updated at the same time. Eurostat publishes early estimates, called 'HICP flash estimates', of the euro area overall inflation rate and selected components. They are published monthly, usually on the last working day of the reference month, and disseminated in a news release, in the database and in a Statistics Explained article. The HICP at constant tax rates (HICP-CT) follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as VAT and excise duties, on the overall inflation (more information). Flags Flags provide information about the 'status' of the data or a specific data value. The following flags are used for the HICP data in the Eurostat online database: p = provisional data: Data is flagged as provisional by the National Statistical Institutes to signal that data are still being treated or validated. The 'p' flag remains attached to the HICP data values in question for one month only. r = revised data. In the case when the most recent figures published differ from previously disseminated data, they are flagged with 'r'. Countries are allowed to revise their HICP figures at any point and, therefore, revised figures may appear in historic data. The 'r' flag remains attached to the HICP data values in question for one month only. e = estimated data. All the figures of the HICP flash estimate are marked with the 'e' flag. d = definition differs, meaning that the national definition of a series differs from the ECOICOP (European Classification of Individual Consumption according to Purpose) definition. It is also used for data values from countries for which conformity with the requirements of the HICP methodology has not yet been evaluated by Eurostat, including candidate countries, pre-candidate countries, new EU Member States and the United States of America. u = unreliable data. Data is flagged as unreliable by the National Statistical Institutes. The p, e, d and u flags described here do not affect the higher level of aggregation when assigned to a figure.

The World Organisation for Animal Health (OIE) data on Highly Pathogenic Avian Influenza in Animals (HPAI, informally known as bird flu). Number of outbreaks, total susceptible animals & animals destroyed and other stats by country.

Historical releases of average weekly earnings (including and excluding overtime) by type of employee and North American Industry Classification System (NAICS), last 5 months.

Historical releases of employment and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.

Historical releases of employment and average weekly earnings (including overtime) for all employees by province, territory and North American Industry Classification System (NAICS), last 5 months.

This table presents an overview of the number of guests and their overnight stays in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by country of residence of the guest, and by star rating. Figures are available for The Netherlands as a whole, and for the city of Amsterdam. The breakdown by star rating is based on the opinion of the accommodation itself. The star rating does not have to be officially registered. The breakdown contains all types of accommodation mentioned above, not just hotels. The '5 stars' category contains 5 star hotels, but also for instance 5 star bed&breakfasts. Break in series: Figures on guests and overnight stays per star rating for the years until 2015, that were published before, were based on offical registrations of the number of stars by the 'Bedrijfschap Horeca en Catering'. This official registration does no longer exist. Therefore, Statistics Netherlands started asking accommodations about their number of stars in its annual survey. For this reason, the figures in this table are not directly comparable with figures published about the years until 2015. Data available from: 2017 Status of the figures: All figures are provisional. Changes as of 9 January 2019: Figures for October 2018 have been added. When will new figures be published? Figures of a new month become available within three months after the end of that month, these are provisional figures. The figures for the complete year are revised one month after publication of the December figures, these are revised provisional figures. Two months later definite figures will be published.

Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Hotels; guests, overnight stays, country of residence, region https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=82061eng&_theme=1026 License: http://creativecommons.org/licenses/by/4.0/   This table presents an overview of the number of guests and their overnight stays in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by country of origin of the guests (country of residence), parts of the country, provinces, tourist parts of the country and 5 major cities. Data available from: 2012 Status of the figures: The figures for the most recent reporting year 2018 are provisional. The figures until 2017 are final. Changes as of 9 January 2019: Figures for October 2018 have been added. The table now contains separate figures for the municipality of Haarlemmermeer. When will new figures be published? Figures of a new month become available within three months after the end of that month, these are provisional figures. The figures for the complete year are revised one month after publication of the December figures, these are revised provisional figures. Two months later definite figures will be published.

Unit of measure usedIndex: Year 2015 = 100 The Hourly Earnings (MEI) dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 35 OECD member countries and for selected non-member economies.  The MEI Earnings dataset provides monthly and quarterly data on employees' earnings series. It includes earnings series in manufacturing and for the private economic sector. Mostly the sources of the data are business surveys covering different economic sectors, but in some cases administrative data are also used. The target series for hourly earnings correspond to seasonally adjusted average total earnings paid per employed person per hour, including overtime pay and regularly recurring cash supplements. Where hourly earnings series are not available, a series could refer to weekly or monthly earnings. In this case, a series for full-time or full-time equivalent employees is preferred to an all employees series.

Number of employees by hourly wage distributions, National Occupational Classification (NOC), type of work and sex, last 5 months.

Number of employees by hourly wage distributions, type of work, North American Industry Classification System (NAICS) and sex, last 5 months.

Number of hours lost by employees, by reason of full and part week absence and sex, last 5 months.

IEA member countries’ closing oil stock levels in days of net imports monthly data. Each IEA member country, excluding net exporters (Canada, Denmark and Norway), has an obligation to have oil stock levels that equate to no less than 90 days of net imports. The IEA minimum stockholding obligation is based on net imports of all oil, including both primary products (such as crude oil, natural gas liquids [NGLs]) and refined products. It does not cover naphtha and volumes of oil used for international marine bunkers. The 90-day commitment of each IEA member country is based on average daily net imports of the previous calendar year. This commitment can be met through both stocks held exclusively for emergency purposes and stocks held for commercial or operational use, including stocks held at refineries, at port facilities, and in tankers in ports. The obligation specifies several types of stocks that cannot be counted toward the commitment, including military stocks, volumes in tankers at sea, in pipelines or at service stations, or amounts held by end-consumers (tertiary stocks). It also does not include crude oil not yet produced. Member countries can arrange to store oil outside of their national boundaries and include such stocks in meeting their minimum requirement. This option is particularly important for countries in which storage capacity constraints or supply logistics make domestic storage insufficient. To exercise this option and count the stocks held abroad toward the obligation, the governments involved must have bilateral agreements assuring unconditional access to the stocks in an emergency. When evaluating a country's compliance with the 90-day obligation, the IEA applies a 10% deduction to its total stocks, net any oil held under bilateral agreements. This accounts for any volumes that are technically unavailable (such as tank bottoms).

The industrial import price index (IPI) measures the monthly transaction price development of imported goods purchased from non-domestic areas by domestic residents. IPI permits monthly monitoring of prices for different categories of products or group of products. They are also a means to distinguish real growth of imports from price changes in the foreign trade statistics and in the national accounts. Data are compiled according to the Classification of Products by Activity (CPA). The breakdowns are based on aggregates derived from the MIGs (Main Industrial Groupings). Industrial import prices are compiled as a fixed base year Laspeyres type price-index (except for Luxembourg). The current base year is 2015 (Index 2015 =100). 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 compiled from raw data.

The industrial import price index (IPI) measures the monthly transaction price development of imported goods purchased from non-domestic areas by domestic residents. IPI permits monthly monitoring of prices for different categories of products or group of products. They are also a means to distinguish real growth of imports from price changes in the foreign trade statistics and in the national accounts. Data are compiled according to the Classification of Products by Activity (CPA). The breakdowns are based on aggregates derived from the MIGs (Main Industrial Groupings). Industrial import prices are compiled as a fixed base year Laspeyres type price-index (except for Luxembourg). The current base year is 2015 (Index 2015 =100). 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 compiled from raw data.

The industrial import price index (IPI) measures the monthly transaction price development of imported goods purchased from non-domestic areas by domestic residents. IPI permits monthly monitoring of prices for different categories of products or group of products. They are also a means to distinguish real growth of imports from price changes in the foreign trade statistics and in the national accounts. Data are compiled according to the Classification of Products by Activity (CPA). The breakdowns are based on aggregates derived from the MIGs (Main Industrial Groupings). Industrial import prices are compiled as a fixed base year Laspeyres type price-index (except for Luxembourg). The current base year is 2015 (Index 2015 =100). 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 compiled from raw data.

The industrial import price index (IPI) measures the monthly transaction price development of imported goods purchased from non-domestic areas by domestic residents. IPI permits monthly monitoring of prices for different categories of products or group of products. They are also a means to distinguish real growth of imports from price changes in the foreign trade statistics and in the national accounts. Data are compiled according to the Classification of Products by Activity (CPA). The breakdowns are based on aggregates derived from the MIGs (Main Industrial Groupings). Industrial import prices are compiled as a fixed base year Laspeyres type price-index (except for Luxembourg). The current base year is 2015 (Index 2015 =100). 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 compiled from raw data.

The industrial import price index (IPI) measures the monthly transaction price development of imported goods purchased from non-domestic areas by domestic residents. IPI permits monthly monitoring of prices for different categories of products or group of products. They are also a means to distinguish real growth of imports from price changes in the foreign trade statistics and in the national accounts. Data are compiled according to the Classification of Products by Activity (CPA). The breakdowns are based on aggregates derived from the MIGs (Main Industrial Groupings). Industrial import prices are compiled as a fixed base year Laspeyres type price-index (except for Luxembourg). The current base year is 2015 (Index 2015 =100). 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 compiled from raw data.

The industrial import price index (IPI) measures the monthly transaction price development of imported goods purchased from non-domestic areas by domestic residents. IPI permits monthly monitoring of prices for different categories of products or group of products. They are also a means to distinguish real growth of imports from price changes in the foreign trade statistics and in the national accounts. Data are compiled according to the Classification of Products by Activity (CPA). The breakdowns are based on aggregates derived from the MIGs (Main Industrial Groupings). Industrial import prices are compiled as a fixed base year Laspeyres type price-index (except for Luxembourg). The current base year is 2015 (Index 2015 =100). 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 compiled from raw data.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates.

Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). 'Goods' means all movable property, including electric current.

Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).