Turkey Cargo Companies, Geographical, Province District and Company Address Information Data File
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This dataset includes assembly areas, which are an important resource for disaster and emergency management. Assembly areas are special areas designated for the safety of the community in disaster situations and for the effective delivery of aid. This dataset contains comprehensive information on the assembly areas in İzmir. The dataset helps prepare the community for assembly areas, disasters or emergencies. Citizens can be prepared by knowing these areas and using their accessibility information. During emergencies, rescue teams and routing authorities can use this dataset to direct people to safe assembly areas. Relevant institutions can better allocate resources and assistance in disaster situations by using gathering area data. In addition, this data set can be used to identify and evaluate disaster risk areas. These data can also be an effective tool for educating and informing citizens about disaster preparedness.
This data set was provided by the municipalities of Ankara, İstanbul and Izmir and includes the addresses of the mukhtars within the municipal boundaries of these cities. The data set contains geographical information about districts, neighborhoods and mukhtar's addresses. It does not contain personal data, it only presents geolocation information. This data set can help citizens to reach local government units by providing information about mukhtar's addresses. It provides information about mukhtar's addresses, making geographical analyzes or providing information about local services. Of note, this dataset does not contain personal data and only presents geolocation information.
The Harmonised Index of Consumer Prices (HICP) is broken down following the European classification of individual consumption according to purpose (ECOICOP) and by goods and services special aggregates derived from it. The HICP covers monetary expenditure on final consumption by resident and non-resident households on the economic territory of the euro area. The seasonally adjusted HICP data are compiled by the ECB. HICPs measure changes in prices of goods and services covered by final household monetary consumption expenditure, including all indirect taxes paid by consumers. HICPs have a common coverage of goods and services across countries but country specific item lists and item weights. HICPs do not cover expenditure for owner occupied housing. For items fully or partly paid or refunded by the government, HICPs include only the share that is paid by the consumer (e.g. the "out-of-the-pocket" expenditure for health services). The HICPs are classified according to the ECOICOP.
The Euro Short-Term Rate (€STR) offers a glimpse into a crucial aspect of the Eurozone's financial ecosystem. Specifically, it provides insight into the wholesale euro unsecured overnight borrowing costs incurred by banks operating within the Euro area. On a daily basis, the €STR is derived from a pool of transactions that involve overnight maturity. These transactions represent the borrowing and lending activities between banks in the Eurozone that take place during the previous trading day. What sets these transactions apart is their "overnight" nature, meaning they have a short-term maturity, typically spanning just one day. Importantly, they are "unsecured," meaning that they do not involve the exchange of collateral, making them a true reflection of the Eurozone's financial landscape. In ECB Data Portal (EDP), the €STR data is meticulously organized and indexed by time. For instance, if you encounter data points with a time index of 1 October 2019, these data points precisely capture the trading activities that occurred on that specific day. Furthermore, they correspond to the official €STR rate published on 2 October 2019, providing a transparent and chronological record of the rate's evolution. This temporal indexing is more than just a technical detail; it serves as a critical component for researchers, economists, and financial professionals who rely on the €STR to analyze trends and make informed decisions. By associating each data point with its respective trade date, users can conduct comprehensive historical analyses and track how the €STR has responded to various economic and monetary factors over time. In essence, the Euro Short-Term Rate (€STR) acts as a window into the Eurozone's financial health, revealing the dynamics of short-term borrowing costs among its banks. Its daily fluctuations and historical records provide invaluable insights into the region's monetary policies and broader economic trends.