You will need an account in order to access members' area. Accounts are granted upon request. Please go to Members/Apply for membership, fill in the blanks and then submit your form. You will receive an authentication email in your inbox. Please follow the instructions in that email to verify your email address. Once your email address has been verified, you will receive a final email with your password. Use this password in the log-in page of Moore Maritime Index and access will be given to the platform.
Prime members have access to more specialized content and exclusive figures. Please submit your vessels' data, in order to become a prime member. For more details, please contact us via the Contact Us page.
Moore Maritime Index has unlimited potential for more customized reports and personalized context. We would be delighted to provide you with more specialized reports and insights for a particular fee. Please feel free to contact us for any further specialized information you may need, via the Contact Us page.
Based on the nature of the shipping it is clear that some vessels do not have a full trading year, for example due to disposals/purchases of vessels during the year. Therefore, the data might include one-off expenses that relate to these specific circumstances. By choosing the option ?Only full fiscal years?, the sample is narrowed down to the vessels that have full trading during the year, excluding these one off items. We highly encourage you to express your suggestions in relation to our methods and sources, using our Contact Us Page.
Moore Maritime Index is a dynamic tool, which is constantly updated by the submission of more vessels' data. The observations are continuously enriched and any new submissions strengthen our database and improve the overall results presented. However, we value the importance of showing results at a specific reference date. Therefore, we provide you with the option to see the results of Moore Maritime Index as at the launch date, by clicking ?Initial data as at launch date? option.
In some cases, there are some extreme values that vary significantly from all other values of the sample. These extreme values exist and are valid observations. There are many reasons that explain their existence, which mainly arise from the nature of the shipping industry. These extreme values have not been excluded from our sample, as they are well founded and valid data points and should be taken into account in the calculation of our statistical figures.
The number of observations depends on the available records we hold, so this number varies from category to category. Some vessels have submitted their operating expenses but have not submitted their TCE and vice versa, so the observations for the TCE are different from the observations for the OPEX. Additionally, due to incomplete data in some instances, certain figures have been included in the aggregate expense category total, but have not been included in the detailed expense analysis reports.
a) Daily TCE figures are calculated as the annual hire/freight/pool income less direct voyage costs and then this sum is divided by the operational days of the vessel, where operational days are the days on time charter or spot voyage plus any ballast time, without taking into consideration any lay-up days. b) Daily operating expenses figures are calculated by dividing the annual operating expenses by the sum of the operational days plus any days on dry docking.
At the top of each chart, there is a chart ledger that describes the name of each data category depicted in the chart as well as the color with which it is depicted. Clicking on the name of a data category will immediately remove this data category from the chart.
In all histograms (bar charts), the value range of all observations is divided into equal bins. Each bar of the chart shows the number of observations that fall in the relevant bin.
In normal distribution charts (curve charts), the value range of all observations is divided into equal sections. The curve includes all observations available in the data set of the presented variable.
The average value of each category is independently calculated, based on the available data we hold. The average total cost might therefore be calculated based on a different sample from the sample that we use to calculate the average values of the sub-categories. For example, a ship-owning company X has provided data for the total crew cost, without providing analysis of this cost into crew wages, provisions and crew other. So, the crew total average is affected by the submission of company X, but the average values of the sub-categories remain unaffected. Therefore, the sum of the crew sub-categories does not equal to the total crew costs. This applies to all categories and sub-categories.
Thank you for your interest in submitting your data to Moore Maritime Index. In order to submit your data, you should use the Contact Page and send a brief message to us. A member of Moore Maritime Index team will then contact you and explain the data submission process.