We then averaged the quotes to determine a mean value for each city, insurer, and the state as a whole.
We then averaged the quotes for a picture of which companies had the best renters insurance rates across Colorado.
We then averaged the quotes to determine a mean value for each city, insurer, and the state as a whole.
We then averaged the quotes for a picture of which companies had the best renters insurance rates across Colorado.
We then averaged the quotes to arrive at a mean value for each city and town.
We then averaged the quotes for a picture of which companies had the best renters insurance rates across Colorado.
We then averaged the quotes to arrive at a mean value for each city and town.
Not exact matches
The
quotes were
then averaged to arrive at a mean insurance cost for a home with a pool across multiple insurers.
Quotes from each company were
then averaged to find which insurance companies had the best renters insurance rates in Connecticut.
The
quotes were
then averaged to arrive at a mean value for each city.
All national
averages aside, your best strategy for finding the best rates is to start by knowing the exact types and amounts of insurance coverages you're looking for, and
then to follow that up by getting a host of Florida insurance
quotes to compare and contrast.
Wexboy, Reference your 30th Sept current summary in KR1, From my point of view I am in awe of your 2 % holding in KR1, The figures are very compelling and staggering in forward potential, I might have this projection all wrong but here goes, As of today 22/10/17 we have an sp of 7p,
quoting your
average roi on holdings within the table we have x 15 within the last 7 months giving us a current book to value of x 3.5 = sp 24.5 p, Should we assume another x 15 (I appreciate the x 15 was on the back of Ethereum, s metaphoric rise and other crypto, s tracking) over the next 12 months and and sp follows suit to say 100p,
THEN we factor in a us listing and as you state the us markets award much higher book value with the average p / b in the blockchain cc sector of x 20, Then we are looking at (without dilution) in 12 months - = MC of # 2 BILLION = # 20 SP AS you state in your summary the figures are staggering so is the ablove a realistic projected mc based on the last 7 months growth and returns on investments made in CC ICO
THEN we factor in a us listing and as you state the us markets award much higher book value with the
average p / b in the blockchain cc sector of x 20,
Then we are looking at (without dilution) in 12 months - = MC of # 2 BILLION = # 20 SP AS you state in your summary the figures are staggering so is the ablove a realistic projected mc based on the last 7 months growth and returns on investments made in CC ICO
Then we are looking at (without dilution) in 12 months - = MC of # 2 BILLION = # 20 SP AS you state in your summary the figures are staggering so is the ablove a realistic projected mc based on the last 7 months growth and returns on investments made in CC ICO, s?
«Gross Revenues» means the total monies received by Grantee from a utility company or other power purchaser (provided, however, that if electricity is sold to a subsidiary or affiliate of Grantee,
then, and only
then, the gross receipts from the sale of electricity under such contract shall be calculated using a sale of not less than the arithmetical
average of the prices
quoted by market sources of information, which information may be based upon the price paid by any purchaser or purchasers, including Grantee or any subsidiary or affiliate of Grantee, for electricity produced in the Iowa region of the Midwest Independent System Operator («MISO») from operation of wind turbines during the calendar year immediate!y preceding the year in which such electricity production from the Wind Energy Project occurs, taking into account the aggregate terms associated with such transaction) derived from the sale of electric energy and capacity produced and sold from the WTG's installed on the Premises, net of proportional energy losses associated with the power collection system or utility interconnection.
Where absolute temperature values (rather than anomalies) are
quoted as an area
average for Australia or a region, this is done by first calculating the anomaly as above, and
then adding that to a fixed estimate of the area
average for the standard 1961 — 1990 reference period.
The
quotes we gathered from each company were
then averaged to find which insurance companies had the best home insurance rates in South Dakota.
If you are planning to purchase a car insurance for yourself or for a family member,
then it is best that you know the
average car insurance
quotes so you will not be overpriced by car insurance agents.
Quotes for this home were obtained from Allstate, Nationwide, State Farm and Farmers insurance companies,
then rates were
averaged for each city.
If you visited three sites to compare auto
quotes,
average out the final dollar amount by adding them up together,
then dividing them by three.
Quotes from each company were
then averaged to find which insurance companies had the best renters insurance rates in Connecticut.
The
quotes were
then averaged to arrive at a mean insurance cost for a home with a pool across multiple insurers.
To identify the cheapest companies, we reviewed auto liability insurance
quotes for a sample driver in Texas and
then ranked them based on their
average across 78 cities.
We
then compared the
average quotes by insurer across the entire state using.
However, if you go with
quotes from our five cheapest companies in LA,
then rates are about 30 % cheaper than the
average.
It is also necessary that you
quote a range within which you would agree to work, but if the salary offered is lower than the
average salary in the market,
then negotiate without any hesitation.