158 datasets found

This view provides a list of person records representing the siblings associated with the person record.

This view provides details about the most recent spouse, partner or cohabitant associated with the person record.

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.

List of political parties registered with the Electoral Commission

Position of the Aquaculture boundary farms were taken from Notices to Mariners and from observations carried out by the Department (GPS positions).This data was included as part of the dataset used for one of the co-financed EU LIFE+ Funding Programmes - LIFE BaĦAR for N2K project.

Public Organisations

Stock of PV installations and estimated total kWh produced by connected PVs by district and years (2010 - 2014).

Regions Dataset which shall hold the list of officially recognized geographical regions which represent a sub-division of Malta, as may be identified and included by the Registrar.

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 ratio between the sums of the highest and lowest 20 per cent equivalised incomes of persons within the households.

The Citizen Servizz.gov Dataset contains all information of public services available for the citizen to apply.

The Internal Government Servizz.gov Dataset contains all the information relating to the services that the Ministries offer both publicly and internally.

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.

Includes the number of animals slaughtered and quantities of meat produced, classified by animal type. It is intended to support analysis of trends in the livestock and meat production sector.

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.

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 Social Exclusion N.E.C. function consists of the following benefits: Drug Addicts Allowance and supplementary 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.

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.

Street Lighting. While all reasonable steps have been taken to ensure the accuracy, completeness and reliability of the information provided, Enemalta assumes no responsibility for any errors, inaccuracies or missing information. In no event shall Enemalta be liable for any direct, indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information being provided.

Streets Dataset which shall hold records of all streets which are publicly or privately-owned and which serve as thoroughfares or any other type of passageway and which are assigned a name by the Registrar

Low voltage substation buildings. While all reasonable steps have been taken to ensure the accuracy, completeness and reliability of the information provided, Enemalta assumes no responsibility for any errors, inaccuracies or missing information. In no event shall Enemalta be liable for any direct, indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information being provided.