I have an excel sheet with one column named (population of 2018).
lets suppose that the pop of 2018 is 25 million.
I want to add one more column which represent the population of the year 2028; which is ten years later from now.
If the increase percentage of the population is 3% every year, how to calculate the population for 2028?
Thank you.
You should have to find out the population of last 50 to 100 year and then see how much population is increasing from last 10 year.
for example if the population in 1988 is 10 million and in 1998 it will become 13 million and then in 2008 become 18 million and in 2018 it will become 28 million.
in 1998, population is increased by 30 percent.
in 2008, population is increased by 38 percent.
in 2018, population is increased by 55 percent.
so from the above data we can say that in 2028 population will increase approximately 82 to 85 percent that will be 51 million.
If cell A1 holds data then your formula should be:
=A1*(1+0.03)^10
Related
I'm working on a spreadsheet to calculate the size of a holding tank for condensate water. The goal is to size the tank so that on the worst day (sometime in February) we have 50 or 100 gallons in the tank.
I've got a data set of average monthly condensate water from 18 ac units.
Here's the monthly average, Jan to Dec (in gallons):
310
134
996
2298
3801
3289
3110
3350
3046
1454
1430
307
To make the simulation more accurate and eliminate the sudden changes that occur after the first of each month (Where Feb is 134 gallons and Mar is 966) I'd like to be able to calculate 365 data points that are along the mathematical curve created by the 12 average points so that the accumulation is more realistic. For simulation purposes I can assume that the average monthly is at the mid month of each month.
How would one go about such a calculation?
I have a issue with my excel project. What I want to do is to divide number of working hours to cells when particular person has a working day. Right now I use QUOTIENT formula with combination with others but the problem is I'm not getting the right split of the total. So set up looks like that
Number of hours = 72
Number of Working days = 7
So I need to divide 72/7 but I need to have the result rounded to full figure (hour). So for example I need day 1 = 10h day 2=12h and day 3 to 7 each = 10h. The QUOTIENT is resulting 10h in every single day giving me result of total 70 not 72.
The problem is that the variables will change when the employee will be switched so for example the next employee will have 94 hours and 11 days. Generally its look like that that I have range of full month so from 1 to 31 and the working days are collected from "working schedule". The idea is to sum up the hours to a month normative working hours. So for example employee has 104 hours and he is working 12 days in working schedule but the monthly norm is 176 so we have 72 hours missing and those hours should be added to those days that he is working.
Example.
You can use MOD function to calculate the remainder.
so day 1 and 3 to 7 should have =quotient(72,7)
and day 2 should have =quotient(72,7)+mod(72,7)
I suppose from your question that you want the remaining hours to be added to day 2.
I'm having a hard time getting some excel formulas correct. The goal is to redistribute any "lost" Change in Stake (negative values) as positive additions to other rows (the calculation is based mainly on Inactive Hours and each stackholder's original Stake
In this example, the "period" is 5 days and Row 1 controls 28.15% of the stake. so
STAKE PER DAY = 28.15% / 5
I calculate what percentage is lost during 25 hours of inactivity:
(25/24 hours) x 5.63% = ~5.86%
In this case Row 1 loses 5.86% percent for their inactivity, while all other members with lesser inactive hours than 25, get that 5.86% distributed amongst them based on their original stake. So Row 2 gets 21.93% of 5.86%, and so forth.
Stak
This formula was making my head spin last night:
=IF(B25<>"",IF(D25="YES",IF([INACTIVE HOURS] > 0, -[#[INACTIVE HOURS]]/24*[#[STAKE PER DAY]], [#[ STAKE]]/($K$40+ SUMPRODUCT([[ STAKE]],[#[INACTIVE HOURS]]/24*[STAKE PER DAY], 0))),0),"")
Stayed up real late trying to crack it but the closest I got to getting the totals in Change In Stake to sum to 0.00% (I get 0.16%) and Final Adjusted Stake to sum to 100% (I get 99.84%).
There's also more to this problem. Consider there can also be multiple rows with different values for inactive hours.
For example, the row with 28.15% had 25 inactive hours, Row with 15.71% had 15 inactive hours and Row with 12.44% had 10 inactive hours.
In that case, only 10 of those hours will be fully distributed away from all 3 of these parties, and redistributed to the parties who had 0 inactive hours. However, the stakeholder with 12.44% was only inactive for 10 hours, as opposed to the stakeholder 28.15% who was inactive for 25 hours.
Therefore, stakeholder 12.44% will lose and full redistribute 10 hours worth but will also gain some back from the stakeholders with 15 and 25 hours of inactivity, during which stakeholder 12.44% was active. Likewise, the 15 hours stackholder is entitled to a proportionate share from the stackholder who was inactive for 10 hours more than they were.
Can excel formulas handle this type of calculation? What would it look like?
I think your partial solution is complicating the underlying problem so I would propose a different method. Reading between the lines the issue is to reduce/increase each stakeholders share by the inactive/active hours.
Calculate an equivalent number of hours from the total hours (share * 5 days * 24 hrs), subtract off the inactive hours, re-base the share on the new lower total. See the image below.
So I have a table of number of fiscal weeks in a year, and to calculate depreciation I'm trying to sum the number of weeks in the total life of the capital investment. So the first argument is the range, the second argument pulls the year from another cell, and then adds the expected life in years of the device. The third argument is the intended sum range.
SUMIF(YearWeeks[Year],"<="&LEFT(AS$14,4)+$H20,YearWeeks[Weeks])
This works fine. Pulls in the right numbers no problem.
However, whenever I try and drag this across other cells so that it can be used throughout my spreadsheet to caculate depreciation, it immediately switches the value for year and the value for weeks and becomes:
SUMIF(YearWeeks[Weeks],"<="&LEFT(AU$14,4)+$H20,YearWeeks[Year])
I cannot figure out why it is doing this. It is probably something simple, but it is completely evading me. Any help would be greatly appreciated.
Year Weeks
2015 52
2016 53
2017 52
2018 52
2019 52
2020 52
2021 53
2022 52
2023 52
2024 52
2025 52
2026 52
2027 53
2028 52
2029 52
2030 52
Life
5
5
5
5
5
5
5
5
8
8
8
8
8
8
201504 201505 201506 201507 201508 201509 201510 201511 201512 201601 201602 201603
Instead of dragging the formula to the right, copy the cell and paste it in the cell at the right of it, etc... :
This will keep the column references unchanged (no change from YearWeeks[Weeks] to YearWeeks[Year]).
As specified on Microsoft's support website:
Moving, copying, and filling structured references
All structured references remain the same when you copy or move a formula that uses a structured reference.
When you fill a formula, fully qualified structured references can adjust the column specifiers like a series as summarized in the following table.
NB: YearWeeks[Weeks] is a structured reference, and fill is what many would call drag in this context.
I am documenting my historic home energy consumption. I am entering in to a Google drive spreadsheet the kWh figure found in gas bills from the last few years.
I have come far - https://docs.google.com/spreadsheet/pub?key=0AuQU5u-2PP8NdC1iNFJVNFVxeDE2WHhVdTUtbGNDWnc&output=html (here is the Google Doc - https://docs.google.com/spreadsheet/ccc?key=0AuQU5u-2PP8NdC1iNFJVNFVxeDE2WHhVdTUtbGNDWnc&usp=sharing)
Now I want to analyse this data in interesting ways, to be aware of my changing consumption over time - principally, kWh by calendar month. The problem is, the issued gas bills containing kWh figures span multiple and partial months. eg (Feb 1 to May 11, then 12 May to 6 Aug)...
All data in the sheet is logged on a row containing two key identifiers - period start and end dates - which are formatted as dates.
My question: How can I rationalise this stuff to traverse those awkward multi-month bill figures, to produce some kind of average or mean for kWh used on a calendar-month basis (ie. Feb 2007, Mar 2007)? Is that even mathematically possible or reliable?
Thanks in advance.
Try =YEARFRAC(StartDate, EndDate, [convention]) which will give you the fractional number of years between the dates using a reasonable convention for day count.
See http://office.microsoft.com/en-gb/excel-help/yearfrac-HP005209344.aspx for more details on various day count conventions available.
The first problem is that per-month information doesn't fit your current table structure; to help explain, if you worked out different monthly rates for Feb, May and Jun 2007 (they are different rates) where would you put these numbers in your table?
There are many options, but I believe the best solution is to:
Create a new table with consistent frequency (i.e. consecutive months down column A), then create formulae to interpolate the relevant values from the source table.
I would actually recommend this 'pure' table uses a line per day (rather than per month) because:
the maths is easier to get a per-day rate read out of the source
table
you can always aggregate daily data back up to monthly
you are not in danger of running out of lines in your sheet
Yes it is doable.
Calculate your cumulative usage (since your bills started) for each gas bill. Interpolate the cumulative usage for the 1st of each month. For Feb 2007 = (Mar_1_2007_cumulative - Feb_1_2007_cumulative).
Goal "... consumption over time - kWh by calendar month."
Even if you had daily consumption figures, as months like January (31 days) are longer than February (28/29), charting what you request would show a + bias in long months and - bias in short months. So let's change the goal to
Goal "... daily consumption over time - kWh/day by calendar month."
Say you have figures like where you list the data, usage since last data and you calculate the cumulative usage since the beginning of your records set.
date kWH *1 Total*2
Jan 1, 2012 - 0
Mar 3, 2012 100 100
Apr 4, 2012 30 130
May 2, 2012 35 165
Aug 9, 2012 75 240
Dec 25, 2012 100 340
Jun 7, 2013 200 540
*1 energy used since previous period
*2 Sum of total usage
(Ignore the "kWH *1" column for the following)
Now make a table for the first of the month for a year, say 2012, and find in the above table an entry <= the first of the month, and the next entry.
Jan 1, 2012 (Jan 1, 2012 0) (Mar 3, 2012 100)
Feb 1, 2012 (Jan 1, 2012 0) (Mar 3, 2012 100)
Mar 1, 2012 (Jan 1, 2012 0) (Mar 3, 2012 100)
Apr 1, 2012 (Mar 3, 2012 100) (Apr 4, 2012 130)
May 1, 2012 (Apr 4, 2012 130) (May 2, 2012 165)
...
Dec 1, 2012 ....
As dates can have a serial number, you liner interpolate that serial number into the the 2 date/cumulative_usage pairs. this provides the cumulation usage to your 1st of the month. That becomes column "Interpolation" for the below table. The "Days/Month" is straight forward (days form First of the month to the next). The Usage/Day for a given month is then the (change in "Interpolation") / "Days/Month". E. g. 1-Feb-12 --> (96.8-50.0)/29 = 3.34.
Date Interpolation Days/Month Usage/Day
1-Jan-12 - 31 1.61
1-Feb-12 50.0 29 3.34
1-Mar-12 96.8 31 4.10
1-Apr-12 127.2 30 5.46
1-May-12 163.8 31
All thats left is to chart Usage/Day vs. Date.