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	<updated>2026-04-25T21:15:58Z</updated>
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	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparson&amp;diff=9366</id>
		<title>IFs Base comparson</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparson&amp;diff=9366"/>
		<updated>2020-08-25T19:21:22Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Ifsdatateam moved page IFs Base comparson to IFs Base comparison&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[IFs Base comparison]]&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9365</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9365"/>
		<updated>2020-08-25T19:21:22Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Ifsdatateam moved page IFs Base comparson to IFs Base comparison&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&lt;br /&gt;
#See [[Example_on_a_report_for_initial_and_last_year|Data listed 2015 and 2100]]&amp;amp;nbsp;an example.&lt;br /&gt;
##In that excel file you can see tabs for variables and the world.&lt;br /&gt;
###For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
###&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
###The final sheet is cumulation of all other individual variable sheets.&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&lt;br /&gt;
##&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&lt;br /&gt;
##See Model Vetting Note Link examples​&lt;br /&gt;
###[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
###[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100_08142020.xlsx&amp;diff=9364</id>
		<title>Data listed 2015 and 2100 08142020.xlsx</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100_08142020.xlsx&amp;diff=9364"/>
		<updated>2020-08-25T19:03:41Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Ifsdatateam moved page Data listed 2015 and 2100 08142020.xlsx to Data listed 2015 and 2100&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[Data listed 2015 and 2100]]&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9363</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9363"/>
		<updated>2020-08-25T19:03:41Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Ifsdatateam moved page Data listed 2015 and 2100 08142020.xlsx to Data listed 2015 and 2100&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; style=&amp;quot;width: 789px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;width: 294px; text-align: center;&amp;quot; | Ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 2015&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | WATSAFE&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | UnImproved&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | GOVREV&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Trillion $&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | LIFEXP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG15&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG25&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | ENP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1.006&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot; style=&amp;quot;width: 776px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 111px; text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 109px; text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 119px; text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 114px; text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 94px; text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Country&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &amp;amp;nbsp;2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Afghanistan&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.022&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.022&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 1.055&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 0.882&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Albania&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.014&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.014&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 0.045&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 0.04&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Algeria&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.229&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.229&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 1.595&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 1.495&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Angola&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.135&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.135&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 5.518&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 6.271&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Argentina&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.538&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.538&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 2.472&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 2.493&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot; style=&amp;quot;width: 748px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;width: 131px; text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 93px; text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 76px; text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Row Labels&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Afghanistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 34.41&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 34.41&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 110.7&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 90.51&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Albania&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.891&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.891&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.654&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 1.657&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Algeria&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.73&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.73&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 64.63&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 61.63&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Angola&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 27.88&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 27.88&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 168.6&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 153.5&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Argentina&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 43.08&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 43.08&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 53.17&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 52.91&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Armenia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.926&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.926&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.132&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 1.977&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Australia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 23.93&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 23.93&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.61&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 38.86&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot; style=&amp;quot;width: 788px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;width: 229px; text-align: center;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Slovak Rep&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 180.2&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Montenegro&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 149.5&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Poland&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 114.1&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Hungary&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 99.91&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Estonia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 28.16&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Serbia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 19.4&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Latvia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 16.14&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | VADD&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Lesotho&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Materials&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 10.75&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | VADD&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Turkmenistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | ICTech&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 4.554&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Sudan South&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 4.186&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9362</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9362"/>
		<updated>2020-08-25T18:46:30Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&lt;br /&gt;
#See [[Example_on_a_report_for_initial_and_last_year|Data listed 2015 and 2100]]&amp;amp;nbsp;an example.&lt;br /&gt;
##In that excel file you can see tabs for variables and the world.&lt;br /&gt;
###For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
###&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
###The final sheet is cumulation of all other individual variable sheets.&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&lt;br /&gt;
##&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&lt;br /&gt;
##See Model Vetting Note Link examples​&lt;br /&gt;
###[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
###[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Example_on_a_report_for_initial_and_last_year&amp;diff=9361</id>
		<title>Example on a report for initial and last year</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Example_on_a_report_for_initial_and_last_year&amp;diff=9361"/>
		<updated>2020-08-25T18:45:48Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | WATSAFE&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | UnImproved&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | GOVREV&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Trillion $&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | LIFEXP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG15&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG25&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | ENP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.006&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Country&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | &amp;amp;nbsp;2015 ratio&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Afghanistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.022&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.022&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.055&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.882&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Albania&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.014&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.014&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.045&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.04&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Algeria&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.229&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.229&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.595&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.495&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Angola&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.135&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.135&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 5.518&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 6.271&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Argentina&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.538&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.538&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.472&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.493&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Row Labels&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Afghanistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 34.41&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 34.41&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 110.7&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 90.51&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Albania&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.891&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.891&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.654&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.657&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Algeria&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.73&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.73&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 64.63&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 61.63&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Angola&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 27.88&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 27.88&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 168.6&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 153.5&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Argentina&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 43.08&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 43.08&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 53.17&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 52.91&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Armenia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.926&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.926&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.132&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.977&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Australia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 23.93&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 23.93&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.61&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 38.86&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Slovak Rep&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 180.2&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Montenegro&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 149.5&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Poland&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 114.1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Hungary&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 99.91&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Estonia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 28.16&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Serbia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 19.4&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Latvia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 16.14&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | VADD&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Lesotho&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Materials&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 10.75&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | VADD&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Turkmenistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | ICTech&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 4.554&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Sudan South&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 4.186&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9360</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9360"/>
		<updated>2020-08-25T18:45:00Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&lt;br /&gt;
#See [[Example_on_a_report_for_initial_and_last_year|Data listed 2015 and 2100]]&amp;amp;nbsp; [[Example_on_a_report_for_initial_and_last_year|another as]] an example.&lt;br /&gt;
##In that excel file you can see tabs for variables and the world.&lt;br /&gt;
###For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
###&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
###The final sheet is cumulation of all other individual variable sheets.&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&lt;br /&gt;
##&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&lt;br /&gt;
##See Model Vetting Note Link examples​&lt;br /&gt;
###[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
###[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9359</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9359"/>
		<updated>2020-08-25T18:43:38Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&lt;br /&gt;
#See [[Media:Example_on_a_report_for_initial_and_last_year|Data listed 2015 and 2100]]&amp;amp;nbsp; [[Example_on_a_report_for_initial_and_last_year|another as]] an example.&lt;br /&gt;
##In that excel file you can see tabs for variables and the world.&lt;br /&gt;
###For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
###&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
###The final sheet is cumulation of all other individual variable sheets.&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&lt;br /&gt;
##&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&lt;br /&gt;
##See Model Vetting Note Link examples​&lt;br /&gt;
###[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
###[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Example_on_a_report_for_initial_and_last_year&amp;diff=9358</id>
		<title>Example on a report for initial and last year</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Example_on_a_report_for_initial_and_last_year&amp;diff=9358"/>
		<updated>2020-08-25T18:42:37Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Created page with &amp;quot;&amp;#039;&amp;#039;&amp;#039;Variable for world&amp;#039;&amp;#039;&amp;#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared....&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | WATSAFE&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | UnImproved&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | GOVREV&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Trillion $&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | LIFEXP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG15&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG25&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | ENP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.006&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| &lt;br /&gt;
| &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| &amp;amp;nbsp;2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| 0.022&lt;br /&gt;
| 0.022&lt;br /&gt;
| 1.055&lt;br /&gt;
| 0.882&lt;br /&gt;
| 1&lt;br /&gt;
| 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| 0.014&lt;br /&gt;
| 0.014&lt;br /&gt;
| 0.045&lt;br /&gt;
| 0.04&lt;br /&gt;
| 1&lt;br /&gt;
| 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| 0.229&lt;br /&gt;
| 0.229&lt;br /&gt;
| 1.595&lt;br /&gt;
| 1.495&lt;br /&gt;
| 1&lt;br /&gt;
| 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| 0.135&lt;br /&gt;
| 0.135&lt;br /&gt;
| 5.518&lt;br /&gt;
| 6.271&lt;br /&gt;
| 1&lt;br /&gt;
| 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| 0.538&lt;br /&gt;
| 0.538&lt;br /&gt;
| 2.472&lt;br /&gt;
| 2.493&lt;br /&gt;
| 1&lt;br /&gt;
| 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| 2015&lt;br /&gt;
| 2015&lt;br /&gt;
| 2100&lt;br /&gt;
| 2100&lt;br /&gt;
| &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| 34.41&lt;br /&gt;
| 34.41&lt;br /&gt;
| 110.7&lt;br /&gt;
| 90.51&lt;br /&gt;
| 1&lt;br /&gt;
| 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| 2.891&lt;br /&gt;
| 2.891&lt;br /&gt;
| 1.654&lt;br /&gt;
| 1.657&lt;br /&gt;
| 1&lt;br /&gt;
| 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| 39.73&lt;br /&gt;
| 39.73&lt;br /&gt;
| 64.63&lt;br /&gt;
| 61.63&lt;br /&gt;
| 1&lt;br /&gt;
| 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| 27.88&lt;br /&gt;
| 27.88&lt;br /&gt;
| 168.6&lt;br /&gt;
| 153.5&lt;br /&gt;
| 1&lt;br /&gt;
| 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| 43.08&lt;br /&gt;
| 43.08&lt;br /&gt;
| 53.17&lt;br /&gt;
| 52.91&lt;br /&gt;
| 1&lt;br /&gt;
| 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| 2.926&lt;br /&gt;
| 2.926&lt;br /&gt;
| 2.132&lt;br /&gt;
| 1.977&lt;br /&gt;
| 1&lt;br /&gt;
| 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| 23.93&lt;br /&gt;
| 23.93&lt;br /&gt;
| 39.61&lt;br /&gt;
| 38.86&lt;br /&gt;
| 1&lt;br /&gt;
| 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 180.2&lt;br /&gt;
| 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 149.5&lt;br /&gt;
| 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 114.1&lt;br /&gt;
| 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 99.91&lt;br /&gt;
| 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 28.16&lt;br /&gt;
| 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 19.4&lt;br /&gt;
| 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 16.14&lt;br /&gt;
| 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 10.75&lt;br /&gt;
| 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 4.554&lt;br /&gt;
| 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| 4.186&lt;br /&gt;
| 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9357</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9357"/>
		<updated>2020-08-25T18:41:38Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&lt;br /&gt;
#See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100]&amp;amp;nbsp; [[Example_on_a_report_for_initial_and_last_year|another ]]as an example.&lt;br /&gt;
##In that excel file you can see tabs for variables and the world.&lt;br /&gt;
###For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
###&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
###The final sheet is cumulation of all other individual variable sheets.&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&lt;br /&gt;
##&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&lt;br /&gt;
##See Model Vetting Note Link examples​&lt;br /&gt;
###[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
###[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9356</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9356"/>
		<updated>2020-08-25T18:36:42Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; style=&amp;quot;width: 789px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;width: 294px; text-align: center;&amp;quot; | Ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 2015&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | WATSAFE&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | UnImproved&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | GOVREV&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Trillion $&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | LIFEXP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG15&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | EDYRSAG25&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | ENP&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | World&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 294px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 56px; text-align: center;&amp;quot; | 1.006&lt;br /&gt;
| style=&amp;quot;width: 59px; text-align: center;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot; style=&amp;quot;width: 776px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 111px; text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 109px; text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 119px; text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 114px; text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 94px; text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Country&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &amp;amp;nbsp;2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Afghanistan&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.022&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.022&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 1.055&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 0.882&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Albania&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.014&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.014&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 0.045&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 0.04&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Algeria&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.229&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.229&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 1.595&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 1.495&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Angola&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.135&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.135&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 5.518&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 6.271&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Argentina&lt;br /&gt;
| style=&amp;quot;width: 111px; text-align: center;&amp;quot; | 0.538&lt;br /&gt;
| style=&amp;quot;width: 109px; text-align: center;&amp;quot; | 0.538&lt;br /&gt;
| style=&amp;quot;width: 119px; text-align: center;&amp;quot; | 2.472&lt;br /&gt;
| style=&amp;quot;width: 114px; text-align: center;&amp;quot; | 2.493&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 94px; text-align: center;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot; style=&amp;quot;width: 748px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;width: 131px; text-align: center;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 93px; text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 76px; text-align: center;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Row Labels&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2015&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Afghanistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 34.41&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 34.41&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 110.7&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 90.51&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Albania&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.891&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.891&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 1.654&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 1.657&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Algeria&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.73&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.73&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 64.63&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 61.63&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Angola&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 27.88&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 27.88&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 168.6&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 153.5&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Argentina&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 43.08&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 43.08&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 53.17&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 52.91&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Armenia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.926&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.926&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 2.132&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 1.977&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Australia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 23.93&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 23.93&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | 39.61&lt;br /&gt;
| style=&amp;quot;width: 131px; text-align: center;&amp;quot; | 38.86&lt;br /&gt;
| style=&amp;quot;width: 93px; text-align: center;&amp;quot; | 1&lt;br /&gt;
| style=&amp;quot;width: 76px; text-align: center;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot; style=&amp;quot;width: 788px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;width: 229px; text-align: center;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Slovak Rep&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 180.2&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Montenegro&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 149.5&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Poland&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 114.1&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Hungary&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 99.91&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Estonia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 28.16&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Serbia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 19.4&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INCOMELT310LN&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Latvia&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 16.14&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | VADD&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Lesotho&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Materials&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 10.75&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | VADD&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Turkmenistan&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | ICTech&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 4.554&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; style=&amp;quot;text-align: center;&amp;quot; | INFRAELECACC&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Sudan South&lt;br /&gt;
| style=&amp;quot;text-align: center;&amp;quot; | Total&lt;br /&gt;
| style=&amp;quot;width: 229px; text-align: center;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| style=&amp;quot;width: 88px; text-align: center;&amp;quot; | 4.186&lt;br /&gt;
| style=&amp;quot;width: 78px; text-align: center;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9355</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9355"/>
		<updated>2020-08-25T18:35:06Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; style=&amp;quot;width: 789px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;width: 294px;&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot; style=&amp;quot;width: 776px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 111px;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 109px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 114px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 82px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 94px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| style=&amp;quot;width: 111px;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 109px;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 114px;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 82px;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;width: 94px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| style=&amp;quot;width: 111px;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;width: 109px;&amp;quot; | 2015 values&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 114px;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 82px; text-align: center;&amp;quot; | &amp;amp;nbsp;2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 94px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 111px;&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 109px;&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 114px;&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 82px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 94px;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 111px;&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 109px;&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 114px;&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 82px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 94px;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 111px;&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 109px;&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 114px;&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 82px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 94px;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 111px;&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 109px;&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 114px;&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 82px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 94px;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 111px;&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 109px;&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 114px;&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 82px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 94px;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot; style=&amp;quot;width: 748px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 93px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 76px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot; style=&amp;quot;width: 788px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;width: 229px;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9354</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9354"/>
		<updated>2020-08-24T16:35:59Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&lt;br /&gt;
#See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100] as an example.&lt;br /&gt;
##In that excel file you can see tabs for variables and the world.&lt;br /&gt;
###For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
###&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
###The final sheet is cumulation of all other individual variable sheets.&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&lt;br /&gt;
##&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&lt;br /&gt;
##See Model Vetting Note Link examples​&lt;br /&gt;
###[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
###[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
###&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9353</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9353"/>
		<updated>2020-08-24T16:33:28Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;​&lt;br /&gt;
&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100] as an example.&lt;br /&gt;
#In that excel file you can see tabs for variables and the world.&lt;br /&gt;
##For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
##&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
##The final sheet is cumulation of all other individual variable sheets.&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
#Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
#It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&lt;br /&gt;
##If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
#Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
#See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See Model Vetting Note Link examples&lt;br /&gt;
##[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
##[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
#Some other tips for base comparison.&lt;br /&gt;
##On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
##As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9352</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9352"/>
		<updated>2020-08-24T16:30:40Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100] as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
##For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
##&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
##The final sheet is cumulation of all other individual variable sheets.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;If data are vastly different during initialization year, check the data source and find the cause of those data difference.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;li&amp;gt;Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See Model Vetting Note Link examples&lt;br /&gt;
##[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9351</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9351"/>
		<updated>2020-08-24T16:29:18Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100] as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
##For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
##&amp;amp;nbsp;Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
##The final sheet is cumulation of all other individual variable sheets.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;If data are vastly different during initialization year, check the data source and find the cause of those data difference.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;li&amp;gt;Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See Model Vetting Note Link examples&lt;br /&gt;
##[https://pardee.du.edu/wiki/December_2016_vetting https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/April_2016_consolidation https://pardee.du.edu/wiki/April_2016_consolidation]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/May_2016_consolidation https://pardee.du.edu/wiki/May_2016_consolidation]&lt;br /&gt;
##&amp;amp;nbsp;[https://pardee.du.edu/wiki/June_2016_consolidation https://pardee.du.edu/wiki/June_2016_consolidation]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&amp;lt;ol style=&amp;quot;list-style-type: lower-alpha; margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9350</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9350"/>
		<updated>2020-08-24T16:24:40Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100] as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In this page:&amp;amp;nbsp;&lt;br /&gt;
##For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
##&amp;amp;nbsp;Then you can see few examples of important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
##The final sheet is cumulation of all other individual variable sheets.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;If data are vastly different during initialization year, check the data source and find the cause of those data difference.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;li&amp;gt;Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See&amp;amp;nbsp;[https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See Model Vetting Note Link examples&lt;br /&gt;
##https://pardee.du.edu/wiki/December_2016_vetting&lt;br /&gt;
##https://pardee.du.edu/wiki/April_2016_consolidation&lt;br /&gt;
##https://pardee.du.edu/wiki/May_2016_consolidation&lt;br /&gt;
##https://pardee.du.edu/wiki/June_2016_consolidation&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9349</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9349"/>
		<updated>2020-08-24T16:17:32Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data listed 2015 and 2100]&amp;amp;nbsp;as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
##For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
##Then you can see few examples of&amp;amp;nbsp;important variables (this is done for all important variables). Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
##The final sheet is cumulation of all other individual variable sheets.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;If data are vastly different during initialization year, check the data source and find the cause of those data difference.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;li&amp;gt;Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See [https://pardee.du.edu/wiki/Base_comparison_analysis_write_up_examples Base comparison analysis write up examples]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See Model Vetting Note Link examples&lt;br /&gt;
##&lt;br /&gt;
[https://mailtrack.io/trace/link/8ecdf57be2914554303e305fc2167923555e17b8?url=https://pardee.du.edu/wiki/December_2016_vetting&amp;amp;userId=1065818&amp;amp;signature=2784652d1063774b https://pardee.du.edu/wiki/December_2016_vetting]&lt;br /&gt;
&lt;br /&gt;
##&lt;br /&gt;
&amp;amp;nbsp;[https://mailtrack.io/trace/link/f572d0971548a5acef2eda8d8296070ec0b39a71?url=https://pardee.du.edu/wiki/April_2016_consolidation&amp;amp;userId=1065818&amp;amp;signature=af961658468f2a28 https://pardee.du.edu/wiki/April_2016_consolidation]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
##&lt;br /&gt;
&amp;amp;nbsp;[https://mailtrack.io/trace/link/cbadaac9ef9abf3b74b284276430d1704b96860a?url=https://pardee.du.edu/wiki/May_2016_consolidation&amp;amp;userId=1065818&amp;amp;signature=4f8ee6a232a4d2b1 https://pardee.du.edu/wiki/May_2016_consolidation]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
##&lt;br /&gt;
&amp;amp;nbsp;[https://mailtrack.io/trace/link/808e14edc4f1a53674dc263da3a81cfc422fb66a?url=https://pardee.du.edu/wiki/June_2016_consolidation&amp;amp;userId=1065818&amp;amp;signature=bb49e5031a19ae27 https://pardee.du.edu/wiki/June_2016_consolidation]&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Base_comparison_analysis_write_up_examples&amp;diff=9348</id>
		<title>Base comparison analysis write up examples</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Base_comparison_analysis_write_up_examples&amp;diff=9348"/>
		<updated>2020-08-24T16:12:58Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Created page with &amp;quot;&amp;#039;&amp;#039;&amp;#039;An example of final analysis by Mohammod:&amp;#039;&amp;#039;&amp;#039;  #One of the things I have done to add to Barry’s analysis is to do some analyses between runs with “old” data and with...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;An example of final analysis by Mohammod:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#One of the things I have done to add to Barry’s analysis is to do some analyses between runs with “old” data and with “new” data for all series but one (for example, IFCF, or TFR) to figure out how much of the difference is from the particular series. I have done it first with IFCF (i.e., take all new data, but keep old IFCF, SeriesInvestGrCapForm%GDP), then with TFR (TFRMedUNPD) and then with both IFCF and TFR. (Barry also mentioned household consumption. That series seems to be same in my “old” 7.53 database and the one Yutang sent.)&lt;br /&gt;
&lt;br /&gt;
For Timor, it looks like most of the GDP changes between runs with new and old data goes away when IGCF and TFR data do not change (and. Vice versa) . For Djibouti, most of the GDP changes are indeed from IGCF. (plots given below – second, and third from below)&lt;br /&gt;
&lt;br /&gt;
This is what I have so far before we meet in 20 minutes. My conclusion is that we can take these data if the SeriesInvestGrCapForm%GDP data is sound.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;An example of final analysis by Barry:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#I have now studied somewhat the runs using the old/7.54 IP1 and new databases.&amp;amp;nbsp; Yes, the most surprising results are in big GDP changes in a few countries including Djibouti and Timor-Leste (in opposite directions).&amp;amp;nbsp; I also drilled down somewhat into Angola.&amp;amp;nbsp; My analysis suggests that In all three cases the explanation for the differences lies primarily in very different initial conditions for IGCF (gross capital formation).&amp;amp;nbsp; The values in SeriesInvestGrCapForm%GDP have changed quite dramatically across the two data sets.&amp;amp;nbsp; Obviously IGCF/GDP is a really important driver and should probably be added to the list of things we routinely check with very large data changes.&amp;amp;nbsp; Also C/GDP coming from SeriesHouseCon%GDP, which interacts with IGCF in the preprocessor.&lt;br /&gt;
&lt;br /&gt;
For instance, for Timor-Leste, the old data set led to a value of 21.9% for 2015 and the new generates 35.1% in the preprocessor.&amp;amp;nbsp; The new dataset not only adds 2018 values, but changes those for 2015.&amp;amp;nbsp; For Djibouti the value moved to 18% from 46%.&amp;amp;nbsp; For Angola it moved from 34.2% to 25.3%.&amp;amp;nbsp; &amp;amp;nbsp;There are really big changes and I assume also for some other countries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9347</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9347"/>
		<updated>2020-08-24T16:11:07Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;amp;lt;/ol&amp;amp;gt; &amp;amp;lt;/ol&amp;amp;gt; &amp;amp;lt;/ol&amp;amp;gt;&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data_listed]&amp;amp;nbsp;as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#&amp;amp;nbsp;The second tab all “All Variables_countries” is cumulation of all other individual variable tabs.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#Then you can see all important variables. Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
#&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt; &amp;amp;lt;/ol&amp;amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&amp;amp;lt;/ol&amp;amp;gt; &amp;amp;lt;/ol&amp;amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&lt;br /&gt;
*If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
*Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
*See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt; &amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
*&amp;amp;nbsp;See “[[Base_comparison_analysis_write_up_examples_|Base_comparison_analysis_write_up_examples_08142020.docx]]”&lt;br /&gt;
*See “Model Vetting Note Links_Examples_01012020.docx”&lt;br /&gt;
*Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
*On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
*As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
*&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9346</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9346"/>
		<updated>2020-08-24T16:08:52Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;amp;lt;/ol&amp;amp;gt; &amp;amp;lt;/ol&amp;amp;gt;&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [https://pardee.du.edu/wiki/Data_listed_2015_and_2100_08142020.xlsx Data_listed]&amp;amp;nbsp;as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#&amp;amp;nbsp;The second tab all “All Variables_countries” is cumulation of all other individual variable tabs.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#Then you can see all important variables. Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&lt;br /&gt;
#&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&lt;br /&gt;
&amp;amp;lt;/ol&amp;amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
*If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
*Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
*See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&amp;amp;nbsp;See “Base_comparison_analysis_write_up_examples_08142020.docx”&lt;br /&gt;
*See “Model Vetting Note Links_Examples_01012020.docx”&lt;br /&gt;
*Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
*On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
*As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
*&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9345</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9345"/>
		<updated>2020-08-24T16:07:49Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;amp;lt;/ol&amp;amp;gt;&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [[Data_listed_for_excel_file|Data_listed]]&amp;amp;nbsp;as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#&amp;amp;nbsp;The second tab all “All Variables_countries” is cumulation of all other individual variable tabs.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#Then you can see all important variables. Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
#&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;amp;lt;/ol&amp;amp;gt;&amp;amp;lt;/ol&amp;amp;gt;&lt;br /&gt;
*If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
*Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
*See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&amp;amp;nbsp;See “Base_comparison_analysis_write_up_examples_08142020.docx”&lt;br /&gt;
*See “Model Vetting Note Links_Examples_01012020.docx”&lt;br /&gt;
*Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&lt;br /&gt;
*As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&lt;br /&gt;
*&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9344</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9344"/>
		<updated>2020-08-24T16:06:58Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See [[Data_listed_2015_and_2100_08142020.xlsx|Data_listed]]&amp;amp;nbsp;as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
*&lt;br /&gt;
#&lt;br /&gt;
#&amp;amp;nbsp;The second tab all “All Variables_countries” is cumulation of all other individual variable tabs.&lt;br /&gt;
*##Then you can see all important variables. Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
#&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
*Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
*See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&amp;amp;nbsp;See “Base_comparison_analysis_write_up_examples_08142020.docx”&lt;br /&gt;
*See “Model Vetting Note Links_Examples_01012020.docx”&lt;br /&gt;
*Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;lt;/ul&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9343</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9343"/>
		<updated>2020-08-24T16:04:10Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; style=&amp;quot;width: 789px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;width: 294px;&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot; style=&amp;quot;width: 672px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 107px;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;width: 71px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| style=&amp;quot;width: 107px;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 71px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot; style=&amp;quot;width: 748px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 93px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 76px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot; style=&amp;quot;width: 788px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;width: 229px;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9342</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9342"/>
		<updated>2020-08-24T16:03:04Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; style=&amp;quot;width: 789px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;width: 294px;&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot; style=&amp;quot;width: 672px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 107px;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;width: 71px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| style=&amp;quot;width: 107px;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 71px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot; style=&amp;quot;width: 748px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 93px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 76px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot; style=&amp;quot;width: 788px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;width: 229px;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9341</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9341"/>
		<updated>2020-08-24T16:02:23Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; style=&amp;quot;width: 789px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; style=&amp;quot;width: 294px;&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 294px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 56px;&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 59px;&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot; style=&amp;quot;width: 672px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| style=&amp;quot;width: 107px;&amp;quot; | GDP[8]&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | &lt;br /&gt;
| style=&amp;quot;width: 71px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| style=&amp;quot;width: 107px;&amp;quot; | 2100 values&lt;br /&gt;
| style=&amp;quot;width: 119px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 71px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 107px;&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 119px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 71px;&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot; style=&amp;quot;width: 748px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 2100&lt;br /&gt;
| style=&amp;quot;width: 93px;&amp;quot; | &amp;amp;nbsp; &amp;amp;nbsp; &amp;amp;nbsp; 2015 ratio&lt;br /&gt;
| style=&amp;quot;width: 76px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 131px;&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 93px;&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 76px;&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot; style=&amp;quot;width: 788px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; style=&amp;quot;width: 229px;&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| style=&amp;quot;width: 229px;&amp;quot; | IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 88px;&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; style=&amp;quot;width: 78px;&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9340</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9340"/>
		<updated>2020-08-24T16:00:23Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| &lt;br /&gt;
| &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9339</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9339"/>
		<updated>2020-08-24T15:59:42Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all [https://pardee.du.edu/wiki/Variable_names variables ]that were chosen to be compared. This will allow the variables to be sorted and compared easily.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| &lt;br /&gt;
| &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9338</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9338"/>
		<updated>2020-08-24T15:56:59Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&#039;&#039;&#039;&amp;lt;br/&amp;gt;This first sheet will include values for the world for all variables that were chosen to be compared. This will allow the variables to be sorted and compared easily.&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&amp;lt;br/&amp;gt;&#039;&#039;&#039;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| &lt;br /&gt;
| &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.196145&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.125&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.06689&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.879923&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&amp;lt;br/&amp;gt;&#039;&#039;&#039;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.223069&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.998189&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.048678&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.098371&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.004914&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.078402&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&#039;&#039;&#039;&amp;lt;br/&amp;gt;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; | 2100 ratio&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 3,672&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 42,635&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 22,586&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2,502&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 161&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 51,771&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 87.06&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 7.464&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.966&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.012&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
------------------------&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9337</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9337"/>
		<updated>2020-08-24T15:55:23Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Variable for world&amp;lt;br/&amp;gt;&#039;&#039;&#039;This first sheet will include values for the world for all variables that were chosen to be compared. This will allow the variables to be sorted and compared easily.&amp;lt;br/&amp;gt;------------------------&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2100&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.963&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9994&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
|-&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Individual variable sheet&amp;lt;br/&amp;gt;&#039;&#039;&#039;The following sheets are&amp;amp;nbsp;for individual countries and respective [https://pardee.du.edu/wiki/Variable_names variables]. It includes country, raw data, and ratio for intial year and last year. This allows&amp;amp;nbsp;to compare highest and lowest values and their respective raw data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 1 for GDP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;565&amp;quot;&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;129&amp;quot; | &lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;77&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | &amp;amp;nbsp;&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| GDP[10]&lt;br /&gt;
| GDP[8]&lt;br /&gt;
| &lt;br /&gt;
| &lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Country&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2015 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2100 values&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.022&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.055&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.882&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.196145&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.014&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.045&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.04&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.125&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.229&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.595&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.495&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.06689&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.135&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 5.518&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.271&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.879923&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.538&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.472&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.493&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.991576&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example 2 for POP:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;648&amp;quot;&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;196&amp;quot; | POP&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | New base&lt;br /&gt;
| width=&amp;quot;81&amp;quot; | Old base&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Row Labels&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2100&lt;br /&gt;
| 2015 ratio&lt;br /&gt;
| 2100 ratio&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Afghanistan&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 34.41&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 110.7&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 90.51&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.223069&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Albania&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.891&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.654&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.657&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.998189&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Algeria&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.73&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 64.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 61.63&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.048678&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Angola&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 27.88&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 168.6&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 153.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.098371&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Argentina&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 43.08&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 53.17&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 52.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.004914&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Armenia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.926&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2.132&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.977&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.078402&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | Australia&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 23.93&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 39.61&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 38.86&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.0193&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Final sheet&amp;lt;br/&amp;gt;&#039;&#039;&#039;This final sheet is created by appending all individual variable sheets. This sheet allows to sort values among all variables and countries.&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;670&amp;quot;&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variable&lt;br /&gt;
| width=&amp;quot;196&amp;quot; | Country&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | &lt;br /&gt;
| width=&amp;quot;119&amp;quot; | ratio&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | 2015 ratio&lt;br /&gt;
| width=&amp;quot;105&amp;quot; | 2100 ratio&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Slovak Rep&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 180.2&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 3,672&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Montenegro&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 149.5&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 42,635&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Poland&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 114.1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 22,586&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Hungary&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 99.91&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 2,502&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Estonia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 28.16&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 161&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Serbia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 19.4&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 51,771&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| Latvia&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 16.14&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 87.06&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Lesotho&lt;br /&gt;
| Materials&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 10.75&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 7.464&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | VADD&lt;br /&gt;
| Turkmenistan&lt;br /&gt;
| ICTech&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.554&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 6.966&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| Sudan South&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 4.186&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.012&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9336</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9336"/>
		<updated>2020-08-24T15:41:26Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Variable for world&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2100&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.963&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9994&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9335</id>
		<title>Data listed 2015 and 2100</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Data_listed_2015_and_2100&amp;diff=9335"/>
		<updated>2020-08-24T15:32:59Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Created page with &amp;quot;{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot; |- height=&amp;quot;19&amp;quot; | height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables | width=&amp;quot;64&amp;quot; | region | width=&amp;quot;182&amp;quot; | Unit | width=&amp;quot;182&amp;quot; | Ratio...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{| border=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; cellspacing=&amp;quot;0&amp;quot; width=&amp;quot;678&amp;quot;&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; width=&amp;quot;122&amp;quot; | Variables&lt;br /&gt;
| width=&amp;quot;64&amp;quot; | region&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Unit&lt;br /&gt;
| width=&amp;quot;182&amp;quot; | Ratio&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2015&lt;br /&gt;
| align=&amp;quot;right&amp;quot; width=&amp;quot;64&amp;quot; | 2100&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WGDP&lt;br /&gt;
| Trillion $&lt;br /&gt;
| &lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.013&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GDP&lt;br /&gt;
| World&lt;br /&gt;
| &lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.013&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | POP&lt;br /&gt;
| World&lt;br /&gt;
| &lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.031&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | TFR&lt;br /&gt;
| World&lt;br /&gt;
| Births&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | CBR&lt;br /&gt;
| World&lt;br /&gt;
| Per Thous&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.026&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | CDR&lt;br /&gt;
| World&lt;br /&gt;
| Per Thous&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.003&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.985&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LIFEXP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9994&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG15&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | EDYRSAG25&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9991&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | SFINSTABALL&lt;br /&gt;
| World&lt;br /&gt;
| Index&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.964&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ENP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.025&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | CO2PPM&lt;br /&gt;
| PPM&lt;br /&gt;
| &lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.003&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | ICTMOBIL&lt;br /&gt;
| World&lt;br /&gt;
| Per 100&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.0003&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAROAD&lt;br /&gt;
| World&lt;br /&gt;
| km/1000 hec&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.003&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.015&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECACC&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.006&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INFRAELECGENCAP&lt;br /&gt;
| World&lt;br /&gt;
| kilowatt&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.977&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | WATSAFE&lt;br /&gt;
| World&lt;br /&gt;
| UnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.963&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | SANITATION&lt;br /&gt;
| World&lt;br /&gt;
| OthUnImproved&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.901&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | INCOMELT310LN&lt;br /&gt;
| World&lt;br /&gt;
| Mil People&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.007&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.215&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | HDI&lt;br /&gt;
| World&lt;br /&gt;
| Index&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.01&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.999&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | SAMADMISSION&lt;br /&gt;
| World&lt;br /&gt;
| Percent&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.987&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.985&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | MALNPOPP&lt;br /&gt;
| World&lt;br /&gt;
| Percent&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.003&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.024&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | DEMOCPOLITY&lt;br /&gt;
| World&lt;br /&gt;
| Index&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.997&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | GOVREV&lt;br /&gt;
| World&lt;br /&gt;
| Trillion $&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.005&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | AGP&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 1.023&lt;br /&gt;
|- height=&amp;quot;19&amp;quot;&lt;br /&gt;
| height=&amp;quot;19&amp;quot; | LD&lt;br /&gt;
| World&lt;br /&gt;
| Total&lt;br /&gt;
| IFsNew-X%GDP/IFsbaseold_j&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9928&lt;br /&gt;
| align=&amp;quot;right&amp;quot; | 0.9928&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9334</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9334"/>
		<updated>2020-08-24T15:29:37Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*See “[[Data_listed_2015_and_2100_08142020.xlsx]]” as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
*#&lt;br /&gt;
#For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
*##&amp;amp;nbsp;The second tab all “All Variables_countries” is cumulation of all other individual variable tabs.&lt;br /&gt;
*##Then you can see all important variables. Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
#&lt;br /&gt;
#Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*If data are vastly different during initialization year, check the data source and find the cause of those data difference.&lt;br /&gt;
*Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&lt;br /&gt;
*See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See “Base_comparison_analysis_write_up_examples_08142020.docx”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See “Model Vetting Note Links_Examples_01012020.docx”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;li&amp;gt;Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9333</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9333"/>
		<updated>2020-08-24T15:25:29Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;IFs Base Comparison&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
#&#039;&#039;&#039;Things to do for IFs base comparison&#039;&#039;&#039;&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See “Data listed 2015 and 2100_08142020.xlsx” as an example.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;In that excel file you can see tabs for variables and the world.&lt;br /&gt;
##For all variable world data is generated for 2015 and 2100. The measure used is ratio measure to compare old and new base. This allows us to see which variables deviate most in 2015 and 2100 relative to old base.&lt;br /&gt;
##&amp;amp;nbsp;The second tab all “All Variables_countries” is cumulation of all other individual variable tabs.&lt;br /&gt;
##Then you can see all important variables. Each variable has all countries and 2015 &amp;amp; 2100 raw data. Then we can calculate different ratio from here.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
##Check all series and their differences between old and new data. This is very important to see impacts during initialization data.&lt;br /&gt;
##Start with important variables such as: GDP, POP, EDYRSAG15. See long term model impacts in these variables.&lt;br /&gt;
##It is also very important to see differences in initialization year. This might explain the long-term impact. In the end, we are trying to find what changes in data causing such model behavior.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;If data are vastly different during initialization year, check the data source and find the cause of those data difference.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;li&amp;gt;Check drivers. Drivers for a variable can be accessed in IFs. We have built a driver list for MFP and some other variables. Future RAs are expected to build more on this as they work. See “Drivers” folder to see more examples.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See example of base comparison analysis.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&amp;amp;nbsp;See “Base_comparison_analysis_write_up_examples_08142020.docx”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;See “Model Vetting Note Links_Examples_01012020.docx”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Some other tips for base comparison.&amp;lt;ol style=&amp;quot;list-style-type:lower-roman;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;On variables that go near 0 or change signs, such as MFP, ratios are not really useful, but differences are.&amp;amp;nbsp;So, check the raw values before doing ratio comparison.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;As you work on this make a list of other tips that you think is beneficial for future RAs. You can add those here once you are done with this work.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note: This guide is supposed to be a help book for RAs. By any means, it is not a comprehensive list of things to do as different base comparisons have their own uniqueness and should be consulted with your supervisor about what direction should you embrace.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9332</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9332"/>
		<updated>2020-08-24T15:23:52Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in page [https://pardee.du.edu/wiki/Variable_names Variable names]&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9331</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9331"/>
		<updated>2020-08-24T15:22:27Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in “#REDIRECT [https://pardee.du.edu/wiki/Variable_names https://pardee.du.edu/wiki/Variable_names]”&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9330</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9330"/>
		<updated>2020-08-24T15:20:46Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in “[[Variable_names|Variable names]]”&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_names&amp;diff=9329</id>
		<title>Variable names</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_names&amp;diff=9329"/>
		<updated>2020-08-24T15:17:22Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: Created page with &amp;quot;Variable names are listed below.  #GDP MER - WGDP #GDP PPP - GDPP #Population - POP #CBR - CBR #CDR - CDR #TFR - TFR #LifeExpectancy - LIFEXP&amp;amp;nbsp; #EdYearsAge15 - EDYRSAG15 #...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Variable names are listed below.&lt;br /&gt;
&lt;br /&gt;
#GDP MER - WGDP&lt;br /&gt;
#GDP PPP - GDPP&lt;br /&gt;
#Population - POP&lt;br /&gt;
#CBR - CBR&lt;br /&gt;
#CDR - CDR&lt;br /&gt;
#TFR - TFR&lt;br /&gt;
#LifeExpectancy - LIFEXP&amp;amp;nbsp;&lt;br /&gt;
#EdYearsAge15 - EDYRSAG15&lt;br /&gt;
#EdYearsAge25 - EDYRSAG25&lt;br /&gt;
#Main state fragility indicator (SFINSTABALL?) - SFINSTABALL&lt;br /&gt;
#Energy production by type - ENP&lt;br /&gt;
#Carbon emissions (ppm) - CO2PPM&lt;br /&gt;
#ICTMobile - ICTMOBIL&lt;br /&gt;
#Road prevelance - INFRAROAD&lt;br /&gt;
#Electricity access - INFRAELECACC&lt;br /&gt;
#Generation capacity - INFRAELECGENCAP&lt;br /&gt;
#WATSAN access - WATSAFE - UnImproved, SANITATION - OthUnImproved&lt;br /&gt;
#Poverty - INCOMELT310LN&lt;br /&gt;
#HDI - HDI&lt;br /&gt;
#Malnutrition (child &amp;amp; adult?) - SAMADMISSION &amp;amp; MALNPOPP&lt;br /&gt;
#Polity – DEMOCPOLITY&lt;br /&gt;
#Revenue as a share of GDP - GOVREV&lt;br /&gt;
#Ag production - AGP&lt;br /&gt;
#Land use – LD&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;This page was updated on 08/24/2020.&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9328</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9328"/>
		<updated>2020-08-24T15:15:29Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in “[[Variable_names|Variable_names]]”&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9327</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9327"/>
		<updated>2020-08-24T15:13:31Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add one new series&amp;amp;nbsp;at a time and observe its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in “Variable_names_8142020.txt”&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9326</id>
		<title>IFs Base comparison</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=IFs_Base_comparison&amp;diff=9326"/>
		<updated>2020-08-17T23:35:46Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This IFs Base Comparison process relates to the consolidation of big data update. It is usually conducted once a year during the big data update.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top-down approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;Top down approach implies using all new updated data to build a new base and comparing with old/existing base. After few observations, we can replace few new series by old series to see the impact of addition of those new series. This page follows this approach.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Bottom-up approach:&#039;&#039;&#039;&amp;lt;br/&amp;gt;It is the opposite of top-down approach. This allows us to add new series one at a time and see its impact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Things to do first before IFs Base Comparison&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
#Rebuilding Base&lt;br /&gt;
##See [[Rebuild_Base_Notes|Rebuild Base Notes]] for this specific task&lt;br /&gt;
##See more on rebuilding the base [https://pardee.du.edu/wiki/Extended_Features#Rebuild_the_Base here]&lt;br /&gt;
#Variable names&lt;br /&gt;
##Variable names to compare model are in “Variable_names_8142020.txt”&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9325</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9325"/>
		<updated>2020-08-17T23:33:56Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&lt;br /&gt;
**​[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
**Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&lt;br /&gt;
**Select “Rebuild Base”&lt;br /&gt;
**Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&lt;br /&gt;
**Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9324</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9324"/>
		<updated>2020-08-17T23:33:22Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&lt;br /&gt;
**​[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
**Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&lt;br /&gt;
**Select “Rebuild Base”&lt;br /&gt;
**Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9323</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9323"/>
		<updated>2020-08-17T23:32:44Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&lt;br /&gt;
**​[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9322</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9322"/>
		<updated>2020-08-17T23:31:57Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9321</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9321"/>
		<updated>2020-08-17T23:31:29Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9320</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9320"/>
		<updated>2020-08-17T23:30:45Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&amp;lt;br/&amp;gt;Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9319</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9319"/>
		<updated>2020-08-17T23:29:57Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039;&amp;lt;br/&amp;gt;Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&amp;lt;br/&amp;gt;Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9318</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9318"/>
		<updated>2020-08-17T23:29:08Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9317</id>
		<title>Rebuild Base Notes</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Rebuild_Base_Notes&amp;diff=9317"/>
		<updated>2020-08-17T23:28:16Z</updated>

		<summary type="html">&lt;p&gt;Ifsdatateam: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Steps to Rebuild Model Base (for top down approach):&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
The goal is to rebuild the base using new update, i.e. all series, to see how new update affects the forecasts. At the end, rebuild the base with all of the pre-processor series to see how the forecasts change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;1. Save working file.&#039;&#039;&#039; Make sure to always copy IFsbase.run before rebuilding model (can rename such as IFsbase – oldnov13.run in Data file; it is always good to put a date here for ease later). Or in other words, save the working file. This is so you can compare forecasts between the old series and the new updated series to see if there are any significant changes&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;[[File:08172020 rebuild base1.png|800x500px|RTENOTITLE]]&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2.&amp;amp;nbsp;&#039;&#039;&#039;Replace files&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Go to a folder where IFs reside. Normally for windows, they are under “C drive\Users\IFs… .” Replace existing “IFsHistSeries.mdb” and “DataDict.mdb” with new “IFsHistSeries.mdb” and new “DataDict.mdb.”&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. Rebuild Base&#039;&#039;&#039;&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Extended Features,” “Rebuild Model Base,” “Rebuild Base”, Click “Ok.”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:08172020 rebuild base2.png|800x500px|RTENOTITLE]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul style=&amp;quot;margin-left: 40px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Choose “Last Year” 2100. Leave “Using Bilateral Data” checked. Rebuilding changes values for 2015; need to run model to 2100 to change forecasts&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Select “Rebuild Base”&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Click “Ok” for prompt that states “As model beings rebuilding the base, it will process some large data files that will cause the hard disk to work intensively.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Contact your supervisor if you are not able to do this step.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Rewrite base case and rerun through 2100.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Once done with this step, you can save your base case with new name.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;&lt;/div&gt;</summary>
		<author><name>Ifsdatateam</name></author>
	</entry>
</feed>