257 datasets found

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  • Fishing Activity Maps at 2-3 Knots for Tuna

    These datasets were manipulated and produced in aggregated maps by showing the intensity of VMS (and not the effort) by a methodology used in the Department of Fisheries and Aquaculture. Since most of the vessels are under 12 m and have no VMS, these maps represents only a fraction of the Drifting Long Lines vessels - 59.1% of the vessels targeting Tuna.For this dataset of tuna 2-3 knots for hauling and speed were taken into consideration. This data was funded by of one of the co-financed EU LIFE+ Funding Programmes - LIFE BaĦAR for N2K project.

  • Fishing Activity Maps at 4-5 Knots for Dolphinfish (Lampuki)

    These datasets were manipulated and produced in aggregated maps by showing the intensity of VMS (and not the effort) by a methodology used in the Department of Fisheries and Aquaculture. Since most of the vessels are under 12 m and have no VMS, these maps represents only a fraction of the vessels - 24% of the vessels targeting dolphinfish (lampuki). For this datasets of vessel trips targeting dolphinfish, at a speed of 4-5knots (indicative of hauling) was taken into consideration. This data was funded by of one of the co-financed EU LIFE+ Funding Programmes - LIFE BaĦAR for N2K project.

  • Flood Hazard Areas

    Flood Hazard Areas for the Maltese Island as reported under the requirements of the Floods Directive.

  • Flood Risk Areas

    Flood Risk Areas for the Maltese Island as reported under the Floods Directive.

  • Fruit and Vegetables Market Sales (€)

    This dataset has no description

  • Fruit and Vegetables Market Sales (Kg)

    This dataset has no description

  • General Government Debt (Annual)

    This dataset presents the annual general government debt, defined as the total gross debt at nominal value outstanding at the end of year for the general government sector and follows the ESA2010 methodology. General government debt is one of the convergence criteria of the Maastricht Treaty used for monitoring the economic situation of a Member State.

  • General Government Debt (Quarterly)

    This dataset presents the quarterly general government debt, defined as the total gross debt at nominal value outstanding at the end of quarter for the general government sector and follows the ESA2010 methodology. General government debt is one of the convergence criteria of the Maastricht Treaty used for monitoring the economic situation of a Member State.

  • General Government Sector Financial Accounts Stocks (Quarterly)

    This dataset presents the quarterly financial accounts (stock positions) for the general government sector and follows the ESA2010 methodology. The financial assets and liabilities are recorded at the market value and are consolidated. Data comparability is ensured by the implementation of ESA2010 rules.

  • General Government Sector Financial Accounts Transactions (Quarterly)

    This dataset presents the quarterly financial accounts (transactions) for the general government sector and follows the ESA2010 methodology. The financial assets and liabilities are recorded at the market value and are consolidated. Data comparability is ensured by the implementation of ESA2010 rules.

  • General Government Sector Non-Financial Accounts (Quarterly)

    This dataset presents the quarterly non-financial accounts for the general government sector and follows the ESA2010 methodology. The revenue and expenditure data are recorded on an accrual basis. Data comparability is ensured by the implementation of ESA2010 rules.

  • Geographical Names (i.e. Place Names)

    Major Area Place Names

  • Geographical Sub-area in which the Maltese Islands are found

    The Geographical Sub-Areas (GSAs) were established under the RES-GFCM/33/2009/2 - Establishment of Geographical Sub-Areas in the GFCM area amending the resolution GFCM/31/2007/2. The dataset only shows the GSA15 which is the GSA in which the Maltese Islands are found. For all the GSAs, one must refer to the legislation mentioned above or the following website: http://www.fao.org/gfcm/data/map-geographical-subareas/en/

  • Geological Map of the Maltese Islands - Bedrock bedding measurements

    Data identifying observation locations (shown as points) describing the bedding orientation of bedrock units. The scale of the data is 1:10 000 scale. Coverage is provided for the main Maltese Islands. Bedrock measurements describe the orientation of bedding in terms of dip and dip-azimuth. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles.

  • Geological Map of the Maltese Islands - Faults

    Faults are depicted as linear features (shown as polylines) representing a structural contact between geological units; Faults are typically associated with the bedrock theme and identify a plane of movement or failure where a body of bedrock has been fractured and displaced relative to another, by a large-scale process affecting the earth's crust. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles.

  • Geological Map of the Maltese Islands - Folds

    The Folds theme provides information on the structural bedrock geology of the Maltese islands. It was produced from the geological resurvey of the Maltese Islands undertaken in 2021 and 2022. This map depict localised structural folding of bedrock. The map features represent the fold axis of the feature.

  • Geological Map of the Maltese Islands - Solution Subsidence

    Data identifying boundaries (shown as polylines) describing the contact between geological units at the margins of karstic dolines and sinkholes. The scale of the data is 1:10 000 scale. Coverage is provided for the main Maltese Islands. The data includes attribution to identify the local names, and postulated age of formation of the features (in varying levels of detail). Several modes of failure are represented by the doline/sinkholes, The boundaries therefore represent planes of structural failure or flexure. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles.

  • GINI coefficient of Equivalised Disposable Income

    The Gini Coefficient measures the inequality of income distribution. It may take values ranging from 0 per cent, which implies perfect equality in the income distribution, to 100 per cent, which signifies absolute inequality.

  • Government Consolidated Fund (Annual)

    This dataset presents the Government’s Consolidated Fund data on annual basis. The revenue and expenditure are presented in the budgetary national classification and are recorded on a cash basis.

  • Government Consolidated Fund (Quarterly)

    This dataset presents the Government’s Consolidated Fund data on a quarterly basis. The revenue and expenditure are presented in the budgetary national classification and are recorded on a cash basis.
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