62 datasets found

Live births resident in Malta includes all babies whose parent(s) is(are) resident in Malta at the time of birth. Therefore the definition excludes babies born to mothers who are resident abroad.

The local administrative units, abbreviated as LAUs, form a system for dividing up the economic territory of the European Union (EU) for the purpose of statistics at local level. They have been set up by Eurostat and they are compatible with NUTS. The LAU classification is equivalent to the classification of all Maltese localities into six districts by Malta Geographic Codes (MGC).At local level, two levels of LAU have been defined: The upper level (LAU1, formerly NUTS level 4)The lower level (LAU2, formerly NUTS level 5)

The Nomenclature of Territorial Units for Statistics (NUTS) was established by Eurostat to provide a single uniform breakdown of territorial units for the production of regional statistics for the European Union.

This dataset series contains geographical grids of 1km grid cell size for Malta.The main attributes are a Grid ID coding the East and North coordinate of the lower left corner of each grid cell plus the hierarchy level plus the quad-tree level. And the INSPIREID of the lower grid cell corner. The grid has been created following the requirements of COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services and the INSPIRE Specification on Geographical Grid Systems - Guidelines. The grid can be used to represent all kinds of statistical and scientific values. The main application is the representation of demographic data (population). This 1km grid was provided by the Eurostat European Commission

This dataset is published on a quarterly basis and presents a comprehensive overview of the monthly volumes (in kilograms) of meat carcass weights, for beef, pigs, and broilers. Data for Beef and Pig meat are sourced directly from the civil abattoir while data for Broiler meat is obtained from private local slaughterhouses. This dataset provides a statistical measure of meat production across the main livestock categories.

This dataset is published on a quarterly basis and provides a comprehensive overview of the monthly carcass values (in Euro) for beef, pigs, and broilers. Data for Beef and Pig meat are sourced directly from the civil abattoir while data for Broiler meat is obtained from private local slaughterhouses. This dataset provides a statistical measure of economic value of meat production across the main livestock categories.

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts. The Old Age function contains the following benefits: Decreased National Minimum Pension, Increased National Minimum Pension, Increased Retirement Pension, National Minimum Pension, Retirement Pension, Two-Thirds Pension, Age Pension, Blind Pension and Carers Pension. Spatial ESSPROS data is represented per 1000 population.

Total photovoltaic panels installed in the domestic sector per 1,000 residents in each locality up till 2014. Data was collected from the Malta Resources Authority (MRA).Photovoltaic (PV) system is a complete set of components for converting solar radiation into electricity by the photovoltaic process, including the array/s of photovoltaic modules that collect and absorb sunlight for conversion into electricity, inverter/s and associated balance of system components.

This dataset presents the Retail Price Index (RPI), portraying the changes in the cost of a basket of consumer goods and services. Data is published monthly with a reference base of December 2016 and is split by the 10 main groups of the RPI.

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts.The Sickness function contains the following benefits: Injury Benefit, Sickness Benefit, Leprosy Assistance, Milk Grant, Sickness Assistance, Social Assistance, Social Assistance for Carers and Tuberculosis Assistance. Spatial ESSPROS data is represented per 1000 population. The data source used to compile the beneficiaries data is the System for the Administration of Social Benefits (SABS) database held by the Department of Social Security. Beneficiaries are grouped according to their ID card number. If a person received a particular benefit more than once in a calendar year, the records show one beneficiary. Beneficiaries obtaining more than one benefit under the same function are counted once. Beneficiaries living abroad are not included in the data.

This dataset is published on a quarterly basis and provides a comprehensive overview of the monthly number of slaughtered livestock (heads) for beef, pigs, and broilers. Data for Beef and Pig meat are sourced directly from the civil abattoir while data for Broiler meat is obtained from private local slaughterhouses. This dataset offers a statistical measure of slaughtered livestock across the main livestock categories.

Short-term business statistics record the monthly and quarterly evolution of production, turnover, employment, wages and salaries, and hours worked. The objective of these early indicators is to measure market activity and identify turning points in the economy. Such statistics are produced under the European Business Statistics (EBS) Regulations 2019/2152 and 2020/1197.

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts. The Survivors function contains the following benefits: Early Survivors Retirement Pension, National Minimum Widows Pension, Pensions of Widows with Children, Survivors Pension, Widows Pension and Orphans' Allowance. Spatial ESSPROS data is represented per 1000 population. The data source used to compile the beneficiaries data is the System for the Administration of Social Benefits (SABS) database held by the Department of Social Security. Beneficiaries are grouped according to their ID card number. If a person received a particular benefit more than once in a calendar year, the records show one beneficiary. Beneficiaries obtaining more than one benefit under the same function are counted once. Beneficiaries living abroad are not included in the data.

Tertiary Educational Attainment refers to the percentage of persons aged between 30-34 years having achieved at least tertiary level of education (ISCED >=5).

The number of employed persons with a main job classified by the economic activity in which they work. The classification used for determining the economic activity is NACE Rev. 2.

The number of employed persons with a main job classified by age group.

The number of employed persons with a main job classified by whether they are employees or self-employed.

The number of inactive persons split according to age group.

This dataset presents the total number of persons who are usually resident in the country, disaggregated by locality, district and region of residence. The data reflects the population as of a reference date (31 December).

This dataset presents the total number of persons who are usually resident in the country, disaggregated by two key demographic dimensions: sex and single years of age. The data reflects the population as of a reference date (31 December).