234 datasets found

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.

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.

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.

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.

Major Area Place Names

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/

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.

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.

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.

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.

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.

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.

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.

The dataset presents the government’s expenditure on contributory and non-contributory social security benefits. The contributory benefits scheme is where an employee, self-occupied or self-employed person pays a weekly contribution as laid down in the Social Security Act, through a ‘pay-as-you-earn’ system. The non-contributory system is not based on contributions, but on a financial means-test of the person claiming the benefit.

This table provides GDP and GNI main aggregates (production, expenditure, and income components). • Annual data is expressed in thousands of euros and is available both in nominal and volume terms. • The data presented in the table is compiled in accordance with the methodology and standards outlined in the ESA 2010 manual to ensure comparability and consistency. • The data spanning 1995 to 2020 are final and will not undergo further revision. • Chain-linked volume aggregates are expressed with reference to the year 2020, where the index is set to 100, serving as the baseline against which changes in the real (inflation-adjusted) volume of the measured variables in other periods are compared. • Caution should be exercised when interpreting CLV aggregates, as changes in sign may significantly affect the economic meaning of the data. It is therefore recommended to complement the analysis with contributions to growth. • Figures in the tables may be subject to rounding, which can result in slight discrepancies in totals or calculated values.

This table provides GDP and GNI main aggregates (production, expenditure, and income components). • Quarterly data is expressed in thousands of euros and is available in nominal and volume terms, both unadjusted and seasonally adjusted. • The data presented in the table is compiled in accordance with the methodology and standards outlined in the ESA 2010 manual to ensure comparability and consistency. • The data spanning 1995 to 2020 are final and will not undergo further revision. • Chain-linked volume aggregates are expressed with reference to the year 2020, where the index is set to 100, serving as the baseline against which changes in the real (inflation-adjusted) volume of the measured variables in other periods are compared. • Caution should be exercised when interpreting CLV aggregates, as changes in sign may significantly affect the economic meaning of the data. It is therefore recommended to complement the analysis with contributions to growth. • Figures in the tables may be subject to rounding, which can result in slight discrepancies in totals or calculated values.

This table provides main aggregates per capita. • Annual data is expressed in euros both in nominal and volume terms. • Per capita calculations are derived using the average population throughout the period under consideration. • The data presented in the table is compiled in accordance with the methodology and standards outlined in the ESA 2010 manual to ensure comparability and consistency. • The data spanning 1995 to 2020 are final and will not undergo further revision. • Chain-linked volume aggregates are expressed with reference to the year 2020, where the index is set to 100, serving as the baseline against which changes in the real (inflation-adjusted) volume of the measured variables in other periods are compared.

This table provides main aggregates per capita. • Quarterly data is expressed in euros both in nominal and volume terms. • Per capita calculations are derived from non-seasonally adjusted variables using the average population throughout the period under consideration. • The data presented in the table is compiled in accordance with the methodology and standards outlined in the ESA 2010 manual to ensure comparability and consistency. The data spanning 1995 to 2020 are final and will not undergo further revision. • Chain-linked volume aggregates are expressed with reference to the year 2020, where the index is set to 100, serving as the baseline against which changes in the real (inflation-adjusted) volume of the measured variables in other periods are compared.

This table provides information on Gross fixed capital formation by main asset type (dwellings, other buildings and structure, machinery and equipment, cultivated biological resources and intellectual property products). • Quarterly data is expressed in thousands of euros and is available in nominal and volume terms, both unadjusted and seasonally adjusted. • The data presented in the table is compiled in accordance with the methodology and standards outlined in the ESA 2010 manual to ensure comparability and consistency. • The data spanning 1995 to 2020 are final and will not undergo further revision. • Chain-linked volume aggregates are expressed with reference to the year 2020, where the index is set to 100, serving as the baseline against which changes in the real (inflation-adjusted) volume of the measured variables in other periods are compared. • Caution should be exercised when interpreting CLV aggregates, as changes in sign may significantly affect the economic meaning of the data. It is therefore recommended to complement the analysis with contributions to growth. • Figures in the tables may be subject to rounding, which can result in slight discrepancies in totals or calculated values.

This dataset represents the mean sea level and perched groundwater bodies of the Maltese islands.