In 2024, consumers in the United States expected to spend over one thousand U.S. dollars on holiday gifts on average. This is the first time the projected spending estimate reached that one thousand-dollar-mark. Holiday shopping The Christmas, or holiday season, is the single most critical sales period of the year for many retailers: this period includes days, such as Black Friday and Cyber Monday, and an increasing amount of Americans also shop online during this busy time. An incredible shopping hubbub is produced during this period, with a staggering 95 percent of U.S. consumers having said they intended to buy something during the Christmas season in 2024. Gift cards and vouchers Christmas is a public holiday in the United States and is celebrated on December 25th each year. It is known as a big economic stimulus for many people to purchase Christmas gifts for their beloved family and friends. After Christmas and New Year’s Eve, retail sales often peak again in January as many people redeem their received Christmas gift cards and vouchers. In fact, over half of U.S. consumers planned to buy gift cards or gift certificates for others. It is a popular gifting option, with many Americans indicating that it can be very convenient.

In early 2011 PRL provided Geoscience Australia with the Old Drill Hole Clearing dataset. This dataset shows the location of old drill lines cleared through the rainforest on Christmas Island. Drill lines were cleared to test the land for phosphate deposits and were cleared from the 1950’s through to the 1970’s, before Phosphate Resources Limited (PRL) began mining on the island. The Old Drill Hole Clearing dataset has been developed from the Peg and Line grid. PRL used Surpac to create a road outline 7 m wide (this is the estimate of two dozer D6 blades widths) along each of the previous drill lines. They were then stitched together and made into a polygon. There seems to be a good correlation between the extent of the drill lines and evidence of clearing from the 1987 orthophotography. The accuracy of the Peg and Line used as a base when the shapefile was produced is of relevance. The error in the data appears to be in the vicinity of 100 metres. As clearing boundaries and coast (though highly simplified) of the same map plot in far better position (after transformation) in relation to the orthophotographs and other GIS themes, the majority of inaccuracy in this theme is probably inherited from the original map (abbsite.dwg). That is, it appears that the clearings and coast of abbsite.dwg are reasonably accurate though very imprecise (intended to be viewed at much greater scale), while the line and peg grid appears less accurate. Thus the grid on the GIS is mainly illustrative at this time. There are no attributes assigned to the data. Disclaimer

This dataset is a merged dataset created from the data provided in the competition "Store Sales - Time Series Forecasting". The other datasets that were provided there apart from train and test (for example holidays_events, oil, stores, etc.) could not be used in the final prediction. According to my understanding, through the EDA of the merged dataset, we will be able to get a clearer picture of the other factors that might also affect the final prediction of grocery sales. Therefore, I created this merged dataset and posted it here for the further scope of analysis.

##### Data Description Data Field Information (This is a copy of the description as provided in the actual dataset)

Train.csv - id: store id - date: date of the sale - store_nbr: identifies the store at which the products are sold. -**family**: identifies the type of product sold. - sales: gives the total sales for a product family at a particular store at a given date. Fractional values are possible since products can be sold in fractional units (1.5 kg of cheese, for instance, as opposed to 1 bag of chips). - onpromotion: gives the total number of items in a product family that were being promoted at a store on a given date. - Store metadata, including ****city, state, type, and cluster.**** - cluster is a grouping of similar stores. - Holidays and Events, with metadata NOTE: Pay special attention to the transferred column. A holiday that is transferred officially falls on that calendar day but was moved to another date by the government. A transferred day is more like a normal day than a holiday. To find the day that it was celebrated, look for the corresponding row where the type is Transfer. For example, the holiday Independencia de Guayaquil was transferred from 2012-10-09 to 2012-10-12, which means it was celebrated on 2012-10-12. Days that are type Bridge are extra days that are added to a holiday (e.g., to extend the break across a long weekend). These are frequently made up by the type Work Day which is a day not normally scheduled for work (e.g., Saturday) that is meant to pay back the Bridge. Additional holidays are days added to a regular calendar holiday, for example, as typically happens around Christmas (making Christmas Eve a holiday). - dcoilwtico: Daily oil price. Includes values during both the train and test data timeframes. (Ecuador is an oil-dependent country and its economic health is highly vulnerable to shocks in oil prices.)

**Note: ***There is a transaction column in the training dataset which displays the sales transactions on that particular date. * Test.csv - The test data, having the same features like the training data. You will predict the target sales for the dates in this file. - The dates in the test data are for the 15 days after the last date in the training data. **Note: ***There is a no transaction column in the test dataset as was there in the training dataset. Therefore, while building the model, you might exclude this column and may use it only for EDA.*

submission.csv - A sample submission file in the correct format.

Czech Republic CZ: Foreign Direct Investment Financial Flows: Inward: Total: Christmas Islands data was reported at 0.000 CZK mn in 2023. This stayed constant from the previous number of 0.000 CZK mn for 2022. Czech Republic CZ: Foreign Direct Investment Financial Flows: Inward: Total: Christmas Islands data is updated yearly, averaging 0.000 CZK mn from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 0.000 CZK mn in 2023 and a record low of 0.000 CZK mn in 2023. Czech Republic CZ: Foreign Direct Investment Financial Flows: Inward: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Czech Republic – Table CZ.OECD.FDI: Foreign Direct Investment Financial Flows: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is not applied in the recording of total inward and outward FDi transactions and positions. Such cases have never been observed. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the direct investor. Resident Special Purpose Entities (SPEs) do not exist or are not significant and are recorded as zero in the FDI database. Valuation method used for listed inward and outward equity positions: Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

This cadastral polygon dataset is a digital representation of all land parcel boundaries within Western Australia at a particular point in time. It represents all crown land (land owned by the State) and freehold land (land held in fee simple) and was sourced from the Spatial Cadastral Database (SCDB) which is the official digital cadastral map base of all crown and freehold land parcels within the State of Western Australia. The dataset covers the State of Western Australia and includes the Commonwealth jurisdictions of Cocos Keeling Island and Christmas Island. This dataset contains only those land parcel boundaries that were current (integrated) at the time of extraction (ie: does not contain "lodged" land parcels) and includes easement and other interests. NOTE: This product is for information purposes only and is not guaranteed. The information may be out of date and should not be relied upon without further verification from the original documents. Where the information is being used for legal purposes then the original documents must be searched for all legal requirements. © Western Australian Land Information Authority (Landgate).

Output from a model run of a modified version of WRF-Chem, which we refer to as WRF-Chem Volcano (WCV). At the time of submission of this dataset, these data were the basis of the modelling part of a paper in preparation, working title: "WRF-Chem modelling and TROPOMI observations of halogen chemistry within the plume of Etna's Christmas 2018 eruption".

The code of WCV is maintained here. Development of this code will continue after the submission of this repository, This branch is a permanent record of the code as used to create this dataset. This is a simulation of the chemistry of the plume of the 2018 eruption of Mount Etna. This simulation includes bromine, chlorine and mercury chemistry. The time period covered is the 24-27 December, however please note that the author considers the first 24 hours of simulation to be "spin up", and that the modelled volcanic fluxes were assigned based on observations at midday on the 25th, and were not calibrated specifically for the 26th or 27th.

"Run L2" refers the internal serial number assigned to this model run.

Overview of files

Output files: wrfout_d0*_YYYY-MM-DD_HH:MM:SS

Output data is contained in NetCDF files. Each file contains hourly snapshots of the 3D simulation with fields for various parameters. Most of the 4D (three spatial dimensions and time) variables record modelled mixing ratios of various species (in units ppm). Many other variables are standard WRF-Chem output variables; please see WRF-Chem's documentation. If the meaning of a variable is unclear, please contact the author.

Files are separated by model domain and by time. The "d0x" value specifies the model domain. Domain 1 is the full extent of the modelled area and has grid cells of 30 km × 30 km. Domains 2, 3, 4 each model a successively smaller area subset at a 3x greater resolution than their parent domain. Please see the ACPD paper for further details on this. For operational reasons, the number of hours in different output files is slightly irregular:

Files wrfout_d0x_2018-12-24_00:00:00 contain 24 hourly snapshots from 2018-12-24_00:00:00 -- 2018-12-24_23:00:00

Files wrfout_d0x_2018-12-25_00:00:00 contain 24 hourly snapshots from 2018-12-25_00:00:00 -- 2018-12-25_23:00:00

Files wrfout_d0x_2018-12-26_00:00:00 contain 1 snapshot, 2018-12-26_00:00:00 only

Files wrfout_d0x_2018-12-26_01:00:00 contain 24 hourly snapshots from 2018-12-26_01:00:00 -- 2018-12-27_00:00:00

Files wrfout_d0x_2018-12-27_01:00:00 contain 24 hourly snapshots from 2018-12-27_01:00:00 -- 2018-12-28_00:00:00

Input files

This repository also contains various input files for the WRF-Chem simulation.

wrfinput_d0x (netcdf format) defines the initial conditions assigned for the beginning of the simulation (2018-12-24 00:00:00) for each of the model domains.

wrfbdy_d01 (netcdf format) defines the boundary conditions for the simulation.

wrfchemi_d0x_YYYY-MM-DD_HH:MM:SS (netcdf format) defines, for each day and domain of the simulation, anthropogenic emissions.

wrfchemv_d0x (netcdf format) defines the volcanic emissions. A file is specified for each domain.

namelist.input (text file) defines various wrf-chem runtime options

Changes will be applied to this dataset resulting from the implementation of the Community Titles Act 2018. These changes will be applied 9th February 2022 - please refer to the Data Dictionary and sample data below. The cadastral "LAND" based dataset is a digital representation of all land parcel boundaries within Western Australia. This cadastral dataset does not contain SCDB polygon_numbers, but instead is based on land_id as contained within the SCDB maintenance environment and combines polygons of common land parcel identifiers into single multi-polygon features with aggregated areas. It represents all crown land and freehold land and is sourced from the Spatial Cadastral Database (SCDB) which is the official digital cadastral map base of all crown and freehold land parcels within the State of Western Australia. The dataset covers the State of Western Australia and the Commonwealth jurisdictions of Cocos Keeling Island and Christmas Island. The dataset is updated with the current cadastral update cycle for data contained within SLIP. _ NOTE: This product is for information purposes only and is not guaranteed. The information may be out of date and should not be relied upon without further verification from the original documents. Where the information is being used for legal purposes then the original documents must be searched for all legal requirements. _ © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. For further information please contact your Landgate Service Manager or email BusinessSolutions@landgate.wa.gov.au.

This data set contains summaries of AFMA log book data on effort distribution for Commonwealth fisheries in the Australian Exclusive Economic Zone (excluding Cocos and Christmas Islands, Norfolk …Show full descriptionThis data set contains summaries of AFMA log book data on effort distribution for Commonwealth fisheries in the Australian Exclusive Economic Zone (excluding Cocos and Christmas Islands, Norfolk Island and the Sub-Antarctic Fisheries). The logbook data has been recorded and submitted to AFMA by commercial fishers. The data has been aggregated to produce summaries of total effort by gear type (summarised across fishery), over 5 year periods and at a 0.1 degree resolution where 5 boats or more operate. All effort information has been removed for areas where less than 5 boats operate and these areas are mapped to a 1 degree resolution. The 5 years periods (1996-2000, 2001-2005 and 2006-2010) correspond to State of Environment (SoE) Reporting, required under the EPBC Act 1999. The most recent reporting period (2011-14) is a four year period. Each is labelled by the years aggregated (ie 2001-2005) and the gear type (ie LLP = long line pelagic). The gear codes and aggregated fisheries and the shape file field descriptions are listed below. Notes: Care needs to be taken when interpreting the fishing effort maps because in areas where there are less than 5 boats operating only the fishing footprint is displayed, consistent with the AFMA Information Disclosure Policy. The fishing footprint indicates that fishing occurred but does not provide information about the intensity of effort (number of operations etc). Legal fishing by foreign flagged vessels occurred in the 1980s and early 1990s in the Australian Fishing Zone. These are shown as areas of higher effort in (i) trawl maps prior to 1990 north of Arnhem Land and (ii) pelagic longline maps up until 1997 south of Tasmania. Minor line was historically recorded as a method in some of AFMA’s daily fishing logbooks, but is not in AFMAs current fishery logbooks. Minor line means trolling, or fishing using a rod or reel, handline or pole. Trawl effort maps are missing Torres Strait Prawn Fishery data prior to 2004. Gillnet effort maps prior to 1996 are not included due to data incompleteness. Jigging data is currently incomplete and is not included. Three records of Danish Seine were misreported (between 1996 and 2010) in the area of the Great Barrier Reef and have been removed. Minor line was historically recorded as a method in some of AFMA’s daily fishing logbooks, but is not in AFMAs current fishery logbooks. Minor line means trolling, or fishing using a rod or reel, handline or pole. Disclaimer: The data provided by AFMA may contain errors or be incomplete. AFMA makes no warranty or representation that the data is accurate or complete. Those who choose to use this data should make their own enquiries as to its accuracy and completeness and AFMA assumes no liability for any errors or omissions in the data provided, or for any decision by a person who chooses to rely on the data. ################################################# Field descriptions for shapefiles: CSQ_CODE: C-Squares code. 1 degree and 0.1 degree grids used CSQ_RESLN: C-Squares resolution of current polygon VESSELS: Number of vessels OPERATIONS: Number of operations HOURS: Effort in hours from start and end time HOOKSSET: Total hooks set NUMLINES: Number of lines deployed NETLENGTH: Gillnet Net Length Fishery Aggregations GEAR_CODE_CSIRO GEAR_CODE_CSIRO_DESCN FISHERY NAME AL Auto Longline CSF Coral Sea Fishery AL Auto Longline GHT Gillnet, Hook and Trap Fishery AL Auto Longline SEN South East Non-Trawl Fishery AL Auto Longline TUN Tuna Fishery BL Demersal Longline CSF Coral Sea Fishery BL Demersal Longline ECT Eastern Tuna & Billfish Fishery BL Demersal Longline GHT Gillnet, Hook and Trap Fishery BL Demersal Longline SEN South East Non-Trawl Fishery BL Demersal Longline SSF Southern Shark Fishery BL Demersal Longline SSG Southern Shark Gillnet Fishery BL Demersal Longline SSH Southern Shark Hook Fishery DS Danish Seine GAB Great Australian Bight Fishery DS Danish Seine SET South East Trawl Fishery DS Danish Seine VIT Victorian Inshore Trawl Fishery DS Danish Seine WDW Western Deep Water Trawl Fishery GN Gillnet ECT Eastern Tuna & Billfish Fishery GN Gillnet GHT Gillnet, Hook and Trap Fishery GN Gillnet SEN South East Non-Trawl Fishery GN Gillnet SSF Southern Shark Fishery GN Gillnet SSG Southern Shark Gillnet Fishery GN Gillnet SSH Southern Shark Hook Fishery HL Handline CSF Coral Sea Fishery HL Handline ECT Eastern Tuna & Billfish Fishery HL Handline GHT Gillnet, Hook and Trap Fishery HL Handline SEN South East Non-Trawl Fishery HL Handline SSF Southern Shark Fishery HL Handline SSG Southern Shark Gillnet Fishery HL Handline SSH Southern Shark Hook Fishery HL Handline TUN Tuna Fishery HL Handline WTB Western Tuna and Billfish HL Handline WTF Southern & Western Tuna & Billfish Fishery J Jigging SPF Small Pelagic Fishery J Jigging SQJ Southern Squid Fishery J Jigging SQD Squid Fishery J Jigging SSF Southern Shark Fishery J Jigging SEN South East Non-Trawl Fishery LLP Pelagic Longline ECT Eastern Tuna & Billfish Fishery LLP Pelagic Longline TUN Tuna Fishery LLP Pelagic Longline WTB Western Tuna and Billfish LLP Pelagic Longline WTF Southern & Western Tuna & Billfish Fishery ML Minor Line ECT Eastern Tuna & Billfish Fishery ML Minor Line WTB Western Tuna and Billfish ML Minor Line WTF Southern & Western Tuna & Billfish Fishery PB Pole & Bait TUN Tuna Fishery PB Pole & Bait ECT Eastern Tuna & Billfish Fishery PB Pole & Bait GHT Gillnet, Hook and Trap Fishery PB Pole & Bait JMF Jack Mackerel Fishery PB Pole & Bait SBT Southern Bluefin Tuna Fishery PB Pole & Bait SEN South East Non-Trawl Fishery PB Pole & Bait WTB Western Tuna and Billfish PB Pole & Bait WTF Southern & Western Tuna & Billfish Fishery PS Purse Seine ECT Eastern Tuna & Billfish Fishery PS Purse Seine EST Eastern Skipjack Fishery PS Purse Seine JMF Jack Mackerel Fishery PS Purse Seine SBT Southern Bluefin Tuna Fishery PS Purse Seine SPF Small Pelagic Fishery PS Purse Seine TUN Tuna Fishery PS Purse Seine WST Western Skipjack Fishery PS Purse Seine WTF Southern & Western Tuna & Billfish Fishery TL Trotline CSF Coral Sea Fishery TL Trotline ECT Eastern Tuna & Billfish Fishery TL Trotline GHT Gillnet, Hook and Trap Fishery TL Trotline SEN South East Non-Trawl Fishery TL Trotline TUN Tuna Fishery TR Trolling CSF Coral Sea Fishery TR Trolling ECT Eastern Tuna & Billfish Fishery TR Trolling SSF Southern Shark Fishery TR Trolling TSF Torres Strait Fishery TR Trolling WTF Southern & Western Tuna & Billfish Fishery TW Trawling CSF Coral Sea Fishery TW Trawling ECD East Coast Deepwater Trawl Fishery TW Trawling GAB Great Australian Bight Fishery TW Trawling JMF Jack Mackerel Fishery TW Trawling NPF Northern Prawn Fishery TW Trawling NWS North West Slope Trawl Fishery TW Trawling SET South East Trawl Fishery TW Trawling SPF Small Pelagic Fishery TW Trawling STR South Tasman Rise Fishery TW Trawling TSP Torres Strait Prawn Fishery TW Trawling TUN Tuna Fishery TW Trawling VIT Victorian Inshore Trawl Fishery TW Trawling WDW Western Deep Water Trawl Fishery

Lithuania LT: Foreign Direct Investment Position: Outward: USD: Total: Christmas Islands data was reported at 0.000 USD mn in 2023. This stayed constant from the previous number of 0.000 USD mn for 2022. Lithuania LT: Foreign Direct Investment Position: Outward: USD: Total: Christmas Islands data is updated yearly, averaging 0.000 USD mn from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 0.000 USD mn in 2023 and a record low of 0.000 USD mn in 2023. Lithuania LT: Foreign Direct Investment Position: Outward: USD: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Position: USD: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Community Titles Act changes coming Feb 2022 - refer to the Data Dictionary here-in As with Cadastre (Land) (LGATE-218), Lodged Cadastre (Land) (LGATE-223) does not contain SCDB polygon_numbers, but instead is based on land_id as contained within the SCDB maintenance environment and combines polygons of common land parcel identifiers into single multi-polygon features with aggregated areas. It is a digital representation of all survey documents lodged at Landgate that have not yet progressed past the lodged survey status. The dataset covers the State of Western Australia and the Commonwealth jurisdictions of Cocos Keeling Island and Christmas Island. A Data Dictionary for this dataset is still in development and will be published as soon as is available. NOTE: This product is for information purposes only and is not guaranteed. The information may be out of date and should not be relied upon without further verification from the original documents. Where the information is being used for legal purposes then the original documents must be searched for all legal requirements. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. For further information, please contact your Landgate Service Manager or email BusinessSolutions@landgate.wa.gov.au.

This cadastral dataset, of point geometry type, is a digital representation of all land parcel boundaries within Western Australia. It provides detailed representation of all land parcel boundaries and aligns with the Cadastre (polygon) (LGATE-217) and Cadastre (Line) (LGATE-216) datasets. It provides feature level capture dates and accuracy. This dataset is sourced from the Spatial Cadastral Database (SCDB) which is the official digital cadastral map base of all crown and freehold land parcels within the State of Western Australia. The dataset covers the State of Western Australia and the Commonwealth jurisdictions of Cocos Keeling Island and Christmas Island. NOTE: This product is for information purposes only and is not guaranteed. The information may be out of date and should not be relied upon without further verification from the original documents. Where the information is being used for legal purposes then the original documents must be searched for all legal requirements. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. For further information, please contact your Landgate Service Manager or email BusinessSolutions@landgate.wa.gov.au.

Luxembourg LU: Foreign Direct Investment Income: Inward: Total: Christmas Islands data was reported at 0.000 EUR mn in 2023. This stayed constant from the previous number of 0.000 EUR mn for 2022. Luxembourg LU: Foreign Direct Investment Income: Inward: Total: Christmas Islands data is updated yearly, averaging 0.000 EUR mn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 0.000 EUR mn in 2023 and a record low of 0.000 EUR mn in 2023. Luxembourg LU: Foreign Direct Investment Income: Inward: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Income: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

South Korea Foreign Direct Investment Income: Inward: Total: Christmas Islands data was reported at 0.000 USD mn in 2022. This stayed constant from the previous number of 0.000 USD mn for 2021. South Korea Foreign Direct Investment Income: Inward: Total: Christmas Islands data is updated yearly, averaging 0.000 USD mn from Dec 2013 (Median) to 2022, with 10 observations. The data reached an all-time high of 0.000 USD mn in 2022 and a record low of 0.000 USD mn in 2022. South Korea Foreign Direct Investment Income: Inward: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.FDI: Foreign Direct Investment Income: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Own funds at book value. Valuation method used for unlisted inward equity positions: Own funds at book value. Valuation method used for unlisted outward equity positions: Own funds at book value, Accumulation of FDI equity flows, Book values. Valuation method used for inward debt positions: Nominal value. Valuation method used for outward debt positions: Market value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationship (FDIR). Fellow enterprises are partially covered in FDI transactions and positions. However given the reporting treshold, almost all of the value of transactions of fellows are covered in the statistics. Collective investment institutions are included as direct investment enterprises. Non-profit institutions serving households are included as direct investors (outward FDI transactions and positions). FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Lithuania LT: Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Christmas Islands data was reported at 0.000 % in 2023. This stayed constant from the previous number of 0.000 % for 2022. Lithuania LT: Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Christmas Islands data is updated yearly, averaging 0.000 % from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 0.000 % in 2023 and a record low of 0.000 % in 2023. Lithuania LT: Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Japan JP: Foreign Direct Investment Financial Flows: Outward: USD: Total: Christmas Islands data was reported at 0.000 USD mn in 2023. This stayed constant from the previous number of 0.000 USD mn for 2022. Japan JP: Foreign Direct Investment Financial Flows: Outward: USD: Total: Christmas Islands data is updated yearly, averaging 0.000 USD mn from Dec 2014 (Median) to 2023, with 10 observations. The data reached an all-time high of 0.000 USD mn in 2023 and a record low of 0.000 USD mn in 2023. Japan JP: Foreign Direct Investment Financial Flows: Outward: USD: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.FDI: Foreign Direct Investment Financial Flows: USD: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the direct investor. FDI financial flows, income flows and positions include, if they exist, resident Special Purpose Entities (SPEs) which cannot be identified separately. Valuation method used for listed inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for unlisted inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for inward and outward debt positions: Nominal value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered . Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Ireland IE: Foreign Direct Investment Position: Inward: USD: Total: Christmas Islands data was reported at 0.000 USD mn in 2023. This stayed constant from the previous number of 0.000 USD mn for 2022. Ireland IE: Foreign Direct Investment Position: Inward: USD: Total: Christmas Islands data is updated yearly, averaging 0.000 USD mn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 0.000 USD mn in 2023 and a record low of 0.000 USD mn in 2023. Ireland IE: Foreign Direct Investment Position: Inward: USD: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ireland – Table IE.OECD.FDI: Foreign Direct Investment Position: USD: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are not excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Luxembourg LU: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Christmas Islands data was reported at 0.000 % in 2023. This stayed constant from the previous number of 0.000 % for 2022. Luxembourg LU: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Christmas Islands data is updated yearly, averaging 0.000 % from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 0.000 % in 2023 and a record low of 0.000 % in 2023. Luxembourg LU: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Christmas Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.