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VšĮ Vilniaus universiteto ligoninė Santaros klinikos

Visits of cardiovascular patients from personal health care institutions participating in the project "Reduction of Morbidity and Mortality from Cardiovascular Diseases in Eastern and South-Eastern Lithuania by Modernizing and Optimizing Healthcare System Infrastructure and Services" and / or using KARDIOELI IS on a contractual basis statistics.

CSV

Valstybės duomenų agentūra

The object of the data is educational institutions where, according to the data of September 1 of the target year, students are educated according to general education programs. When assigning a student to the territory, it is considered that his place of residence coincides with the place of residence declared in the Population Register on September 1 of the target year. In cases where the person had not declared a place of residence on this date, the student's place of residence was considered his last/previously declared place of residence. Peak hours and days of the week are not taken into account when creating car accessibility areas. The dataset is updated twice a year (in October and January).

API

Valstybės duomenų agentūra

Data of educational and scientific institutions are provided based on the Register of Educational and Scientific Institutions. The data is updated once a month. (Point) geospatial coordinates of all currently registered (operating) and part of previously registered institutions are provided.

API

Nacionalinė švietimo agentūra

All educational institutions operating in the Republic of Lithuania carry out educational activities

CSV

Klaipėdos miesto savivaldybės administracija

Educational institutions located in the territory of Klaipeda city

CSV JSON

Valstybinė augalininkystės tarnyba prie Žemės ūkio ministerijos

Information on checks on the conformity of fresh fruit and vegetables to marketing standards (name of product; country of origin; country of destination; number of lots checked, units; quantity of production checked, t; other quantity of production checked; quantity of non - compliant production, t; the number of non-compliant batches was determined, units (mechanical and pest injuries, diseases and rot, physiological defects, immaturity defects, cleanliness defects, shape defects, defects in color, defects in packaging, improper marking, other defects; total number of injuries); measures for production volume, t (sorted, destroyed, reduced quality class, labeled, processed, returned, total quantity).

API

VĮ Žemės ūkio duomenų centras

Information on the number of farmers' farms, number of persons on farms, farm areas, avg. farm size, age and sex of farmers

XLSX

VĮ Žemės ūkio duomenų centras

The number of livestock slaughtered for own use, forced slaughter, death and slaughtered wild animals registered in the Livestock Register by species, sex and address of the last place of keeping (municipality, eldership) shall be provided.

CSV

VĮ Žemės ūkio duomenų centras

The number of imported and exported farm animals registered in the Farm Animal Register by species, breed and age groups of the farm animal is presented.

CSV

Valstybinė vartotojų teisių apsaugos tarnyba

The dataset contains data on the consultations provided to the economic entities by the employees of the State Consumer Rights Protection Authority. The data is classified according to the type of consultation, year and number of consultations.

CSV

Lietuvos Respublikos ekonomikos ir inovacijų ministerija

The purpose of the survey is to investigate the opinion of economic entities about the activities of supervisory authorities, the general level of awareness of implemented and applied supervisory measures, to assess the trends in the burden of inspections and regulation, and to identify shortcomings in the activities of supervisory authorities and the licensing process. Target group of the survey: all economic entities included in the catalog of Lithuanian companies. Business entities are evaluated according to two criteria: the size of the entity and the duration of the activity. The selection in the strata was carried out by a probabilistic random method (using a random number generator). Research sample: ~1000 companies. Survey method: telephone interview (CATI) based on a pre-agreed standardized questionnaire.

CSV

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