Transition Economics (TE) is a new, easy-to-learn, game-changing science. Where Economics is old, theoretical, unscientific, non-deterministic, proven-false logic and belief-based consensus or indoctrination, TE’s evidence‑based data science is simple, confirmably truthful, and proves that policies with a higher probability of advance can double economies reliably

Why does it work? More here

Economies are high transaction systems, so a highest-probability of success Advance Policy is guaranteed to advance the system measurably. Similarly, a Collapse Policy is guaranteed to collapse any economy

Casinos insist on Advance Policies from all the games that they offer and this is why “the house always wins” in a busy casino. An Advance Policy in Civic Science is a decision that improves causal national indicators

Micro and Macroeconomics explain tactical theories only. They don’t define collapse, and therefore don’t measure it so that collapse can be minimized. Collapse might not exist in their theory, but it certainly does in reality

Transition Economics utilizes survey-based data (reality) entirely and targets collapse for elimination. In this way, TE drives success strategically

TE doesn’t need models to wonder will an economy correct itself, it actively drives advance – reliably

Jump to “How does it work?” here

Transition Economics (TE)

… is a call for action. We must change the indoctrinations that we teach as truth and reality in the Civics Faculties of Economics, Law, Finance, Business, Government, Social, and Education today

See: Education at WAOH
Educational Reform: The Doctors of Indoctrination 

Our Computational STEM Science Problem

Economics – is a simple evidence-based STEM computer science, and not the belief, logic, and theory-based, math-obscured ideologies and ISMs that Western universities and political groups tenure professors and fund universities to teach and collapse us with today

Why is an evidence-based science a problem for universities and for everyone?

1. Economics Professors are mathematician theorists who are unqualified to teach a computer science
2. Grad schools actively block new STEM science from reading in civics faculties at every major university. See Our Academic Mediocracy
3. All major online search engines actively block new science. Google, Bing, Wikipedia, etc. “Transition Economics” to confirm this
4. We’re trained to follow and never lead or question; to learn non-science (nonsense) indoctrination and not education

Logic is one thing, and Common Sense is another

Theory is 100% fiction until it can be proven real (Truth and Science) by repeatable observation. Math is not science, Logic is not science, and Peer Review is an obvious fraudulent test in Civics Faculties since the 1980s

Transition Economics has no need of theory, employs Grade 5 math, and is responsibly governed to ensure that its scientific Standard of Research and Knowledgebase remain observably credible and validatable by anyone anywhere anytime

If you are curious to understand how indoctrination got such a stronghold in our educational institutions, consider McMaster University’s recent $50 million bursary for a “Leadership College” – to teach students “classic theory” (Harmful ideology: Neoliberalism)

National Civic Leadership

Evidence-based National Civics Leadership Faculties are the essential governance teams at work in every university needed to performance manage the curricula of Law, Economics, Finance, Business, Government, Education, and Social Studies – to ensure that they are contributing to, and not detracting from, economies and societies – by teaching “isms”, harmful ideology, false theory, and indoctrination

Powerful Insights

The UAE is 1/100th the size of Canada with 1/4 its economy. It has outpaced G7 nations for 25 years with no homelessness, no income tax, free healthcare, and free university. Almost all Monarchies can say the same

90% of large democracies are collapsing today – citation 

Civic data sciences provide the certainty, causality, determinism, and truth, that only a science can offer

Productivity – builds strong economies reliably. This is an insight learned in econometric science, where Micro and Macroeconomics’ Wealth Theory, Profit, and Oligarchy-led principles hide problems and collapse nations reliably. Citation: Proof

	With GL-BOK

Common Sense and Civic Science

Common Sense: is the social value of our decisions (our policies), so TE can measure and improve common sense also

Values: “Good, Respect, and Human Advance” in Leadership, Policy, and Law, is another insight of TE, which is proven to ensure advance for any nation 100% (see WAOH)

Science: is truth and reality; it’s measurable, observable, and repeatable as it calculates the same result whoever analyses it, unlike the ideology-based theory that our universities teach today

So, why are we not teaching that evidence-based civic science is essential in all faculties of Economics, Business, Finance, Social, Law, Education, and Government Studies?

Micro and Macroeconomics, Relationship Economics, Environmental Economics, Doughnut Economics, Supply & Demand, Profit & Cost, Labor, scarcity, GDP,  scale-up trickledown, finance accounting, open markets, etc. – is not science. Curriculum was assumed to be important logically, but was never confirmed to assure human advance in evidence-based survey and observation

There is no evidence to support that any of this curriculum builds an advancing economy, and there is much evidence to confirm that wealth theory collapses economies reliably only

Aristotle’s Scientific Method calls proven-failed theory “fiction” for an important reason. Today, all economies lose $4 billion US per day on average, and the USA loses $30 billion (53% of their economy). The lessons in our universities were assumed to be true, and then logic and math were heaped on top of these theories until mathematics became obfuscation entirely

“Economics studies how a horse should move, not how it does move” – citation sought

In Academia, Marx and Friedman are unscientific indoctrinations. Why? Because none of their terms and approaches are measurable or supported by evidence. Harmful ideologies like Neoliberalism in the 1920s, created the Great Depression and collapsed every society in history, yet our universities teach that this indoctrination is education today

We don’t teach the proven Constitutions, Laws, and Bills of Rights that FDR used to build the greatest economy in history just 70-years-ago, which were taken from the 4,000-year-old scientific civics texts that these academics  also dismiss as religion

The Constitutions of the USA and Canada created the Great Depression and today’s hidden Depression as well. It was FDR’s Second Bill of Rights that created the greatest economy in history

Educators have become Doctors of Indoctrination today. Courses are too long and expensive, dropout rates are too high, lessons are theory-based in 75% of credentialed programs, and we are recreating another irresponsible and expensive Tytler Cycle by not training responsible civics and human advance

In Public Policy: The observed collapse of 62% of 207 economies before COVID, means that a chimp with a dartboard has a statistically higher probability of choosing successful policy than a degreed economist does today; and this is a revelation that Harvard University econometric scientists have also begun to acknowledge in 2020 as well

In Business: Tactical business practices collapse societies today while Strategic business targets must advance economies, portfolios, and societies together

In Constitution: Right and left is theory, ideology, division – and, therefore, a weakness. There is only one “side” and that side is Advance. Most of today’s political groups offer collapse 100% and should be legally blocked from appearing on ballot cards

CSQ Research offers Certification and Monitoring Programs that ensure Political Parties can only run Advance Policies

In Science: Good, Respect, and Human Advance – are measures proven to build successful societies reliably. Other explanations amount to theory, ideology, and religion

Zero Dangerous and Expensive Theory

Belief-based theories and ideologies can be dangerous, expensive, can empower poor leadership, and are irresponsible when we have reliable scientific alternatives. Wealth Theory, Marxism, Libertarian Neoliberalism (Transition Economy), Individualism, Left and Right, pro-democracy, anti-Monarchy, are ideologies, narrative, guesswork, and also lying – that create broad social collapse internationally today

Perhaps surprisingly, the Bible was scientific. Its “Revelation” used storytelling to warn us not to “tattoo ourselves” with the names of economic powers (“the Beast”) who would then subjugate us as slaves to owners, as we did throughout 1,000 years in the advance-less medieval dark ages

A Father, Son, and Holy Spirit were teaching tools that trained illiterate populations:  Good, Respect, and Human Advance because these core values and behaviours were proven to build advance through 2,000 years of civic rise and fall

In the universities of collapsing nations, peer-reviewed curriculums mandate double-integral calculus to teach theory that actively ignore these lessons. This is a troubling problem. Calculus is a fine tool, but its also an unnecessary complexity that appears in Social Grad Schools only to obfuscate fictitious, failed economic theories

“What I want you to understand is the national debt is not the only cause [of declining economic conditions in America]. It is because America has not invested in its people. It is because we have not grown. It is because we’ve had 12 years of trickle-down economics. We’ve gone from first to twelfth in the world in wages. We’ve had four years where we’ve produced no private-sector jobs. Most people are working harder for less money than they were making 10 years ago. It is because we are in the grip of a failed economic theory.”

Bill Clinton, 1992

Fortunately, the scientific study, performance management, and improvement of economies and societies – is simple; and it’s so obviously credible that it requires almost no math to fake an appearance of credibility

Evidence-based social and economic studies require simple statistics, quality control methods, and some data science automation

Once you learn a civic science, you’ll never allow your educated self to be flimflammed by theory again

TE IS DIFFERENT

TE measures all available indicators and then scores and ranks them transparently:

1. GDP is a 2,000th of 24,000 ranked reports
2. GDP Growth – is a 1,200 rank report
3. GDP-per-Capita ranks 300th
4. GDP-PPP-per-Capita – 100th rank
5. Export-per-Capita – 200th Rank
6. Social Contract – is a #1 Ranked measure

In evidence-based science, social measures can be equally or more important than economic measures:

1. Aged 65 male – 210th rank
2. Internet Access – ranks 361st
3. Longevity – 600th rank
4. Mortality male – 879th rank
5. Electric Power Consumption – 1065 rank
6. Energy Use – 2004th rank

Transition Economic’s top-ranked causal indicators are the measures that economic development groups can use to target problems, corrections, and to sustain reliable advance in any country

TE “steers” collapsing economies into turnaround and actively drives advance, where economics builds theory-based mathematic models to predict where a status quo is taking us in 10-years

Its the job of TE to direct advance using policy proven to offer the highest-probability-of-success, and its the job of Civic Leadership‘s SUSTAIN Project Management to ensure that the changes created by automation or market changes, safeguard citizens and minimize social impact and collateral costs

Lessons Learned

These are TE’s scientific “Lessons Learned”. Transition Economics uses the most-meaningful Causal performance measures, to compare the success of all policies at work in every nation

There are 220 sovereign countries that make decisions about the exact same policies every day – home ownership, lending rates, inflation, business laissez-faire, regulation, export, import, taxes, education, healthcare, on and on

TE measures the economic and social performance resulting from their policy decisions, to confirm the policy targets that can advance nations reliably

TE is also simple and accessible, respecting Isaac Newton’s premise that:

“Truth is ever to be found in simplicity, and not in the multiplicity and confusion of things”

Transition Economics could not be developed within academia and is now Case Studied to be refused reading by eight major international university Grad Schools

As TE works very well, this surprising refusal created an extensive research paper and study of Academia’s counter‑productive defense of a $4‑billion loss per day international status quo. See that research article – “Our Academic Mediocracy”

As it turns out, Transition Economics stands in vaulted company in this way, because Einstein’s Theory of Relativity (e=mc²) stood for 20‑years before being acknowledged by Western academics outside Germany similarly. We discuss the obstacle of “Adoption” below

Why can TE Double Economies?

Join the MEMS Double Your Economy Challenge

Transition Economics can double economies reliably – as we see in the pie chart reports of Social Contract Loss

Watch the movie MoneyBall (2011) to understand how game-changing is a survey-driven computational approach to professional baseball

Casinos are widely regarded as fail-safe businesses, and yet this reliable success is not based on winning every transaction either. Casinos are successful only when they have a high volume of transactions as this ensures that their high probability of success games can win more often than lose for the house. Every seat in a casino has a probability attached to it, and the casino can only fail when insufficient players play their games

An economy is a high transaction system, one which assures near-unlimited transactions, so mathematically beneficial policies will always create advance within an economy – as a mathematic certainty. The same is true in reverse too, as an unsustainable policy or a policy with a low probability of success, will reliably collapse any nation also

This is the reason that ACT Parties and CSQ Certifications for Political Parties are so important, as they ensure Governments only run policies proven to Advance nations

Transition Economics allows nations to improve policies that have a higher probability of creating an advancing economy and society

If Economics was a Science

If today’s Economics was a science, could we all live sustainably within the prosperous American Dream of the 1960s? Could we all live on this earth without social problems and without wars? Could we build World Peace reliably?

The correct answer to these questions – is Yes

Policy creates social and economic advance and collapse 100%  – Edward Tilley, CL-BOK

America is collapsing today, alongside 90% of large democracies that are also collapsing, but in the 1960s it built the strongest economy in history – with a low Inequality, high Social Contract society. Today Norway, Ireland, Germany, Italy, Japan, and the Netherlands maintain high social contracts – and all have strong economies despite a global mature capitalism in most other countries. China is self-sufficient, productive, and advanced easily through and beyond a COVID pandemic. So, clearly a successful mix of policies exists for any economic era

Making Economics a science is important. Most of our 220 countries share the same problems, so we want to not rely on guesswork or proven failed theory

 In large democracies, Right and Left policies are meaningless, and the people who would divide us with indoctrination, ideologies, and fiction in academic curricula must also misreport, omit, and mislead voters as their collapse policies harm the public. Unsustainable policies collapse any nation reliably and the mature capitalisms that are created by them are mathematic certainties that are expensive, dangerous, preventable, and correctable also

Every problem is solvable

The first step in solving any problem is realizing you have a problem –  Zig Ziglar

Transition Economics Proves What?

TE is a deterministic, predictive science that surveys 1,600 indicators and indexes in 220 countries – and we sometimes consider centuries of historical data as well

Transition Economics takes the advice of the creator of two new sciences, Sir Issac Newton – to keep science simple. A causal indicator can usually be confirmed with a simple frequency distribution chart that any grade-9 student can create, and we rank causality scores with data science lessons that a grade-12 student can learn easily as well

 

With a TEP Chart, we can confirm that nations with a high Social Contract score have an advancing economy 100% of the time, while a low-scoring Social Contract nation has a collapse-trending economy 100% of the time.  This tells us that the indicator “Social Contract” might be a causal indicator, so next …

1. We determine causality using economic measures only – these measures have no social components, like Export per Capita, Trade Balance, GDP-PPP per Cap, Production, …
2. Then we ask “Is the indicator causal using social measures only” as well. There are many causal (important) measures that are social entirely – Social Contract, Maternal Death Rate, Living Wages, Savings, Deaths under age-5, Internet Access, Salaried Males, Longevity, etc …
3. When an indicator proves causality by economic and by social measures, next we validate that the indicator created successful economies elsewhere or in history by observation

For other indicators that are similarly causal, see csq1.org/WAOH

Wealth-theory GDP, Stock Market Performance, Supply, Demand, Cost, Profit, Labour, CPI, Consumption are not causal indicators – and most are meaningless in quantitative analysis.

Productivity indicators like Social Contract,  are scientifically reliable, evidence-based indicators of successful, advancing economies and societies; both today and through history

Society and Economy are NOT Separate

TE’s Social Contract Proof above proves that Mr. Dickens’ “Mankind is our Business” is more than just a platitude and that our people are our greatest resource, as a scientific fact. We only have to ensure that we vote for Leadership that gives people the resources and training that they need to be productive, to succeed reliably

In science, any “chicken and egg” discussion of whether a strong economy comes before a strong society – proves that high Social Contracts assure economic strength

There are 150 other Causal and Sustainable Indicators and Indexes cataloged and explained within the context of Socio-Economic Planning Methods in the WAOH Public Civics library and reliable new indicators are discovered weekly …

TE proves that Bibles are textbooks describing how to build sustainable societies. Exclude the violent passages obviously, and 90% of laws and policies in Bibles are provably causal and sustainable in science. Family values, respect for community and neighbors, respect of husbands, wives, children, and elders; respect for employees through living wages and even sophisticated economic resets (Leviticus 25/26 – forwarded from 1763 BCE’s Code of Hammurabi) – are provably essential needs of sustainable socio-economic prosperity

Truth Makes Advance Possible

Every generation calls themselves “Modern”, every ideology calls itself “Moral and Ethical”; but in the context of history’s hundreds of generations, few ideologies truly are Moral, Ethical, beneficial, and Truthful

Harmful secular theory and ideologies collapse us just as quick as did the religious theories and ideologies of the medieval church during western civilization’s Dark Ages. Sponsors are usually economic powers like  WEF, NAZIs, Rome, Persia, Oligarchy (Merchant Class). The Bible’s storytelling called these influencers “The Beast”

Any civic instruction that supports and teaches socially harmful policy or collapse is Indoctrination

Moral policies are those that are proven to create sustainable good lives and human advance reliably. Education teaches advance only

Harmful Ideologies

The Bible’s “False Idols” were a Top-10 Constitutional crime. See Ideologies at WAOH

• Neoliberalist Conservatism – vaults values and ethics that prefer the interests of wealthy people
• Libertarian – suggest values and ethics that see neighbours freeze to death ignored
• Marxism – explains sweat shops are a benefit and that proven-failed theory (fiction) like socialism and communism are real; of course they are not
• NAZIism – killed people based on race and creed
• Divisionism – Right – is neoliberalist conservatism; and Left – is feminist anti-family values and hiring laws that create a reliable infanticide of 1.5% annually in 64 high-income countries – for votes.
• Feminism
• Diversity – is a virtue-signaling business lobby that drives starvation wages, the end of family pensions (in Canada certainly), and racism that hires, lends, immigrates, or gives grants based on race, gender, and religion.
• Inclusion – is hiring for fit (“fits” are followers who fit with the group’s concensus), dumb-down, anti-merit, anti-expert, anti-leaders. Consensus-based thinking explains Flat Earth Theory, Creationism, “Angels are real”, and similar nonsense (non-science)

These ideologies might be Secular, and then there were Religious ideologies that: killed strong opinioned individuals and leaders as witches, asked for indulgence payments to release family members from purgatory, demonized scientists, etc.

We don’t want harmful ideologies (false idols) obviously, what we want is evidence-based, reliable education in civics that creates Good, Respect, and Human Advance. This is morality, ethics, and common sense, while today our universities teach indoctrination and zero science in 75% of degree courses

With foundations in evidence-based deterministic science, data-science analytics, and epistemology (Expert Process), TE and SUSTAIN Program Management work together to build solutions for the biggest and most complex problems of Scientific Societies and National Civic Leadership

Civic Leadership’s 100% evidence-based Methods and Programs makes extensive use of Transition Economics

National Leadership Scientific Journal

Vote for Transition Economics

WAOH

Find our library of TE Proofs and Methods at the World At Our Hands Report

Civic Scientists are the New Philosophers

What happened to Philosophy?

Philosophy is a mixed bag through time. The author of this webpage is a Civic Scientist who builds new science and teaches this quantifiable, measurable, observable, verifiable, repeatable science and truth to others

That – might be the best definition of the best Philosopher of all time, because most others fell far short of this essential deliverable of Philosophy

FYI – Just 10% of philosophers left us with measurable working science and lessons, and a handful of those taught us how to build science (to understand truth) as well

I recommend that everyone become curious about Philosophy, and to purchase “The Philosophy Book” from D&H Publishing. It’s a tremendous overview of Social and Civic thinkers and philosophers through time

And, then I recommend that you to learn the civics science taught here on this webpage

As you learn what a civic science looks like, you should come to realize that there have been hundreds of philosophers; and that a few were terrific – but, that the great majority were absolutely ridiculous too

Philosophy has presented “Black Swans” – by the laziest researcher in history. The Oedipal Complex. Quotes like: “I think therefore I am”; “The end justifies the means”; “Logic is one thing and Common Sense is another”; and, last but not least, a seemingly endless parade of devastatingly harmful “ISMs”.

There were GREAT Philosophers – who taught good values measurably (the Bible’s Good, Respect, and Human Advance), truth (Artistotle’s Scientific Method), computation Pythagoras, etc.

And good “Role Models”, that count as teachers that we can measure too – as shown by Marcus Orillius, Voltaire

There was civics instruction – as explained in Politic’s Evil and Good Systems of Government (Aristotle)

There was an afterlife, theism(s), and then the rest – was completely dismissable

The Greatest Philosopher of all time, is the one who teaches us how to build Truth

The most important science is Civic Science, without which natural science could never be conducted and grow into something truly beneficial

Important

Creating a 100% False Peer-Review Rate in faculties of Economics, Government, and Business, as we certainly have today, also creates a systemic academic mediocracy; an upside-down state where non-experts are credentialed, while experts are denied credentialing. Experts can be expected to refuse to follow, memorize, and advance, socially irresponsible fiction (proven-failed theory is termed “fiction” in Scientific Method); there can be no surprise in this.

The Great Resignation – is the result of our societies being taught that business grads (non-expert CPA accountants, non-expert MBAs, and non-expert Human Resources admins) should hire similar non-experts only and then install them into leadership positions and Boards too. MBAs, CPAs, and HR admins are trained in Wealth Theory which is proven to collapse nations reliably, and they’re typically younger. Aristotle explained that young, ambitious people focus on themselves, bonuses, and do anything they are told to do, which is why leaders must be experts and heads of households with launched children(in their twenties).

Filling leadership positions with non-leaders assures collapse in any society. Non-experts can never be leaders, as we see in collapsing North American businesses and governments today. The social and economic costs and risks are too high, too dangerous, unnecessary, preventable, and correctable.

Low Productivity and Social Contracts cost each nation an average $4 billion daily; $30 billion per day in America. We are all at our lowest production growth levels since the 1930s, and Mature Capitalisms globally risk the lives of billions in their first repeating occurrence in a mature nuclear age.

Sciences like Transition Economics are presently being refused reading at not less than eight leading international Economics Faculties and now a CASE STUDY paper is created. Academic Presidents, researchers, and Social Faculty leaders should encourage the adoption of scientific and evidence-based curricula as their highest priority today.

Read the “Adoption” chapter below to understand why academia’s reluctance to change is absolutely normal historically, as seen in any swollen bureaucracy also.

When you don’t know what to stand for, you can fall for anything

It’s a solvable problem; CSQ’s Data Research group builds MEMS for the exact purpose of correcting and turning around the specific policies responsible for economic loss and social collapse, and ACT Parties – simply do exactly what FDR did to create the greatest economy in history.

FDR turned our last Mature Capitalism into the American Dream and greatest economy of all time, with policies of high wealth and income redistribution (92% income and 80% estate taxes – for 20-years), nationalism, full-employment, an empathetic Second Bill of Rights, a strong social contract, family values, and America’s mature and affordable home-ownership and capital formation systems.

There was no socialism in the mix but there was a lot of change to social programs, living wages, and opportunity. Eleanor Roosevelt carried these policies on to become the U.N’s Universal Declaration of Human Rights in 1948. Truman’s Marshall Plan rolled this learning into the Constitutions of Japan, Italy, and Germany – which are the only G7s with advancing economies today.

FDR’s Second Bill of Rights is considered America’s greatest export in many European nations. The question for democratic law-makers and academics today becomes, should the messaging of special interest groups continue to misrepresent and even vilify those proven solutions?

Invariably, it is the poor – that suffers due to economic problems, Oligarchs are not personally impacted by their poor decision-making as a point of fact and circumstance.

Conflicts of interest – must be announced as a management best-practice but in democracies, individuals with personal investments in unsustainable policy are not required to disclose and exclude themselves from votes in support of their own interests.

Self-promoting, Advertising, or Opinion; should be communicated transparently at the very least. A scientific Standard of Research and policy Proofs, can cancel out harmful theory, ideology, and “logic” arguments, and ensures corruptions both intentional and unintentional, are dismissed to preserve advance and common sense.

Where Economics teaches how economies should work, TE teaches how economies actually do work

TE’s WAOH Econometrics Library showcases Context Methods, evidentiary data, scientific method, and rapidly-maturing infographic tools – as needed to explain economies easily – and all of this information is available in just the past five years really.

Where Micro and Macroeconomics are entirely theoretical and are also proven to fail (to not manage the imbalances of mature capitalisms, automation, nor Social Contracts), Transition Economics’ scientific approach teaches credible, quantitative, disambiguated terms and proofs that can ensure strong economies at any phase of a monetary system’s life-cycle.

Advance Policies

As a voter, your first responsibility is to advance your country, community, and family. When election ballet cards offer only Collapse Policies in every Political Party on your ballot card, your system of government is corrupted and your nation collapses GUARANTEED as a mathematic certainty

90% of large democracies are collapsing today, so this is no trivial warning

CSQ Research Trains, Certifies, and Monitors Political Parties to confirm that they offer ONLY Advance Policies

What do Advance Policies look like? As an example, the following list of policies created the greatest economy and society in history – both 70-years ago locally and in a dozen countries internationally today as well

A New Science

It’s not very often that we get the opportunity to learn a completely new science. Most sciences are natural sciences, and Transition Economics (TE) is the far more important “hard science” in Civics.

Biologic sciences have matured for millennia, and yet how many people die of biological illnesses today? Natural sciences cannot prevent war, ensure good, respect, and human advance (World Peace) as can a reliable evidence-based civic science.

Civic Science makes applied natural sciences (like Engineering, Physics, and Medicine) possible

Jump to “How does it Work” here …

The term “Science” is widely defined as “systematic and formulated knowledge”, but more than this science is observably real, it’s truthful, and it is provable by anyone anywhere as well. This was Aristotle’s contribution in his explanation of Deductive Method and Posterior Analytics in his “Organon” (around 325 BC) which a 17th century Francis Bacon later called “The Scientific Method”.

All sciences begin simply, and then with time mature in both their application and in their complexity too. The proven truths that are explained by a simple observable science, must be protected during this growth, learning, maturity, and evolution – in order to ensure a useful lifespan.

“Truth is ever to be found in simplicity and not in the multiplicity and confusion of things.” – Sir Isaac Newton

Anyone who has ever created a science understands the importance of this statement, although you might have never heard it before.

Sir Isaac Newton’s “Principia” – Mathematical Principles of Natural Science, introduced scalar and vector measures (Physics) for the first time in 1687 and we have been building on that start for 350 years now. Pythagorean Theory 530 BC, Trigonometry 190 BC, Sin, and Cosine Laws are 10th century AD sciences, Darwin’s Theory of Evolution 1859, Alan Turing’s electro-mechanical and digital computers 1943, and so on.

TE explains the computational principles of evidence-based Civics – Social and Economic Sciences, to confirm which indicators and government policies are important, or not important, and it explains which policies are harmful too.

Evidence-based – means measured in the data collected similarly by all countries and consolidated for analysis by many centers internationally.

TE is “hard science” that becomes an essential foundation for our civilization when Civic Leadership faculties provide Governance (Performance Management) that ensures consistent human advance across all civic facultu curricula in Economics, Business, Finance, Law, Government, Political Science, Education, and Social Studies.

When Civics Faculties begin to teach lessons that collapse societies as they do today, Civic Leadership Faculties call out their tactical, theory-based curricula for replacement with strategic scientific replacement.

TE assures Common Sense – a benefit to mankind, society, and humanity’s advance, result from all best practices and teachings; also known as Social Accountability, Impact, Social Contribution, Social Benefit, and of course – World Peace.

TE is STEM – Evidence-based Economics is a Science, Technology, and Engineering faculty. This makes current theorists and mathematician economists and professors defend against its adoption vigorously. Why? Because Economists are unqualified to teach STEM computer data and visualization science. This is the reason that MEMS is offered to Universities, Government Policymakers, and Regulators – to help transition them over this hurdle.

TE experts are Leaders – CSQ Research’s MEMS is the “Tesla” of Civic Science today. WAOH is the largest evidence-based context-qualified econometric library in the world. Civic Leadership Magazine is the only Scientific Journal mandating evidence-based Civics and Civic Leadership research exclusively.

And, Academics are career and lifelong followers, who today only block the reading of evidence-based science in our Grad Schools. Citation

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Transition Economics is Important

Isn’t Economics a science already today? No, it’s not, unfortunately. Economics is entirely theory-based with math stacked on top of assumptions.

No civic science supports Micro and Macroeconomics’ Wealth Theory – Supply, Demand, Cost, Profit, GDP, Finance Accounting, Central Procurement, Unemployment, Scarcity, Labour, Recession, Interest Rates correct Inflation, Stock Market bolstering, and similar curricula are merely a consensus of baseless logic and fiction. A scientific approach proves that these harmful theories and ideologies collapse economies reliably, making these teachings indoctrination – and certainly not education.

Math and Modeling are not science either. I get a chuckle out of Canada’s National Research Chair’s PhD in “Mathematic Sciences” – because the title is an oxymoron. Math is a language that only explains science when it explains observable truth and reality, and math is neither science nor important at any other time.

Science is Truth and Reality – We can never confuse or treat science as unimportant; truth is essential. Researchers can forward a theory, but that theory is 100% fiction until it is observably proven true. Thalidomide, for example, was a theory forwarded without scientific rigour to a detrimental effect in our society. At no time was Thalidomide science, and at no time were those who rushed their theory onto pharmacy shelves for profit Scientists.

70-years-ago, businesses created the greatest economies in history by putting money into the hands of citizens widely. Today, 90% of large democracies are collapsing (citation) because of the tactical, theory-based, unscientific and oligarchy-benefiting harmful ideology-based (Wealth Theory & indoctrination) indoctrination curricula taught in Western University Business and Economics Faculties. Business siphones trillions of dollars annually from each country’s monetary systems into offshore tax havens as economically meaningless business profit, while it has create 1930s levels of production growth worldwide. Business needs to be regulated again now.

Stating that your country has “the biggest GDP gains in the G7” today, translates into saying that you have allowed inflation, housing bubbles, and economically meaningless business profit to run away more than other G7 nations. All G7s lose 1.5% of their population annually and encourage “cheap labour”, open borders, high immigration, depopulation and democratic system corruptions at a time when these collapse policies create dystopic, low-production economies. 9,000 people competed for homeless shelters in Toronto alone daily in 2023 while food banks are at an all-time high demand level.

Democracies – We vote for this collapse to continue and worsen, because our ballot cards only contain business-funded political groups that keep monetary system control in the hands of business – without the regulations that FDR put in place (to correct this same inequality problem created in the 1920s) in the 1930s and 40s. See the corrections for this problem at ACT Parties and Civic Science Certifications for Political Parties

Monarchies – have outperformed the G7 for the past 25 years (citation) without homelessness, with free education, free healthcare, with SEED investment, with UBIs (Universal Basic Incomes), without income tax in some cases, and their citizens are the richest in the world. The UAE is 1/100th the size of Canada with one-quarter its economy, and these higher performance levels are true in all monarchies.

Income Tax – What is the point of funding a small army of tax collector employees and computer systems, to take money from the 60% of any capitalistic population that has no money? See csq1.org/waoh#tax

Collapse – is expensive, dangerous, unnecessary, avoidable, and correctable (citation); and is completely unmeasured by Economics today. Collapsing economies are created by academia’s teachings (of ideology-based and theory-based civics curricula) reliably, prompting Aristotle’s Scientific Method to call these lessons “fiction” because they are easily proven false. To make matters worse, universities/colleges actively block civic science today (citation) as does Wikipedia, Google, The Economist (a Rothchild Media publication), and most academic journals. Opportunity Costs lost become a nation’s cost of collapse.

Harmful Ideologies, Virtue Signaling, and Platitudes – Democracy, Freedom, and Free Speech mean what exactly? 90% of large democracies are collapsing today, so democracy in large population nations is a type of government that needs correction – not protection. “Free Speech” can forward lies as easily as the truth, so what we really want is the assurance that we can forward Truthful Speech. Countries without protections of law ( absolute freedom), can have no property, or currency, and women are traded a dozen times a day for a pack of cigarettes. Read more about harmful ideologies at WAOH.

New Science – TE is one of the first sciences to utilize evidence-based correlation to confirm causality observably, repeatably, deterministically, with statistical significance verifiably.

Civic Leadership Faculty (CL) is an essential emerging new scientific academic governance faculty that manages the performance of all other faculties to ensure that the curricula we teach achieves the socioeconomic and human advance targets that are an absolutely must for every society.

CL-BOK – CL’s Book of Knowledge (formerly Global Leadership – GL) is TE’s knowledgebase, Library, Civics textbook, and Bible, that ensures academic faculties can never again create the broad social and economic collapse that our current 100% theory-based curricula have created within unaccountable faculty and university silos today.

WAOH – World at our Hands Civics Library – is an online presentation of the CL-BOK, often updated, live summary of the CL-BOK

Scientific Societies Programme (SSP) – SSPs performance-manage our national advance or collapse, lead projects designed to advance nations reliably, and ensure that social faculty curricula teach evidence-based social benefit – human advance and common sense. SSPs use evidence-based policy and monitoring to meet targets that double economies and replace current ineffective Governance Committees.

We are experiencing another avoidable Mature Capitalism wherein 207 countries lose an average of $4 billion daily (citation). Why? Because academics insist on calling their indoctrinations “real” while hiding the scientific performance reporting of each country’s collapse. Academics neither measure nor acknowledge collapse, while Transition Economics both measures it and prevents it actively.

Don’t make their mistake. In any good science, we should be acknowledging and explaining problems, and then building solutions too  – see TASK, ACT, Scientific Societies, and more.

Educational Reform: Correcting the Doctors of Indoctrination

Find a growing Evidence-based Civic Sciences FAQ page here

Transition Economics is Computational

Transition Economics is a very simple science, but it is also computational. This means that it adds, subtracts, divides, and multiplies 18,000 numbers (a single indicator’s survey data for 220 countries over 60 years – be it GDP, Longevity, etc.) to create a single TEP, XY, or Trend Chart. 360,000 survey data numbers are needed to create a TEP Sheet, and you can increment these computation numbers many times for aggregated index indicator TEP Frequency Distribution analyses, “10 year average” trend charts, %GDP or PPP calculations, and so on.

For this reason, TE is most effectively paired with a user-friendly data science, visualization tools, and a research approach that explains economies in an understandable format – and from multiple viewpoints also. Examples of viewpoints might be from a household point of view, from a nation’s view, a world view, by industry, by performance, and so on.

Computers make very short work of computation, so Transition Economics is computer science that chooses the best tools for its work by making extensive use of Python, Jupyter Notebooks, spreadsheet formula and macros, and real-time graphics libraries, to explain how economies truly work and how they can be driven to advance or collapse any community or nation in the world.

With tools like MEMS and Civic Scientist Training and Certifications, Civic Scientists can now look forward to a fun and richly rewarding career and profession. National Civic Science Programs can recover $4 billion per day and reliably double most national economies.

Put simply, Transition Economics explains which indicators and government policies are important, which are not important, and it explains which policies are harmful as well.

Transition Mechanics

Other Applications of TE’s Data Science approach

New for 2023

From its inception, Transition Economics’ automated TEP charts and TEP XY Scatter Plot charts have included an averaging of its Frequency Distribution (FD) chart lines – with a red dotted line called a Simple Linear Regression (LR).

Linear Regression in XY Charts and TEPs are shown above for the same data, and you can see a full “TEP Sheet” of “Gross Domestic Savings as a percent of GDP” (GDS %GDP) charts with LR averaging lines here. FYI – Linear Regression values are more truthful for XY Reports, because TEPs normalize their Frequency Distribution X-axis points while XY reports do not. Read about how TEP and TEP-XY Charts are created in our Science of 70% tutorial here.

CSQ Research is always looking for more useful causality information in the 1600 surveys collected annually from 220 countries today, so in 2023 we looked into Linear Regression to see if it yielded any compelling new knowledge. So, we frequently look to new evidence-based viewpoints – as explained in our WAOH Library; WAOH’s new GPT capabilities in 2024 are an example of ongoing updates.

Something that might not be obvious here, is that research efforts don’t always prove to be valuable or truthful. At CSQ Research, we work hard to NOT publish unconvincing research and you will never hear about the work undertaken that we disregarded because nothing came of the researching of a “What If”. You should know that for every validated and published report at WAOH, sometimes six to ten theories and variations were tested – and found false – until you now see just the explanations that can be validated by hard evidence and data.

When we say that it is impossible to lie in Transition Economics, we do mean it because any unsubstantiated claims can be easily discovered and easily discounted by other researchers – as all data that we use to build our charts are publicly available to anyone.

One downside to TEP scoring that we have always recognized, occurs when we penalize (assign lower scores) to reports with higher “Average Advancing” nations in surveys. For example, a High-Income (HI) Nation report tends to have a greater percentage of Advancing Nations (75% instead of 42%) in GDS’s case – as we see in the XY Chart and its Linear Regression lines.

Where will we take research to next?

1. 90 nations have Stock Markets, and these nations have a higher “Average Advancing” rate than other reports (find the “Average Advancing” statistic for each dataset in a TEP report, in its upper left corner). The Stock Market TEP report’s 57% Average Advancing (advancing nations) statistic tells us that having a Stock Market is a benefit to these countries, but we don’t recalculate our 70% advance/collapse computation for just these 90 survey’d countries, which is something we would like to experiment with
2. We don’t score which ranges that data falls within. The Stock Market TEP Chart to the right never rises above 80% and never falls below 30%; this tells us that Stock Market performance is  not a meaningful contributor to the collapse or advance of an economy. If, however,  most frequency distribution points show that countries are 100% advancing, we don’t measure this fact presently – but we hope to

Today, TE assigns scores to each indicator chart by measuring the chart’s amplitude (Maximum Y-Value minus Minimum Y-Value – this score will be the same for both TEP and TEP-XY charted Frequency Distributions – see The Science of 70% tutorial). 1.0 is the highest possible score in a TEP chart. We use this scoring method because this approach still appears to yield the most truthful measure of causality.

Going forward, we will post the Linear Regression “scores” as well, but we cannot yet confirm that this calculation explains causality better than TEP Scores, and our preliminary findings lead us to suspect that Linear Regression measures are an average of an average that creates only a misleading measure.

New for 2022

TE Threshold Analytics  –  TE-TA

Threshold Analytics was added to the GL-BOK, MEMS, and to Transition Economics in 2022

So much of Transition Economics’ evidence-based context was based on just a handful of Causal indicators, that questions arose about what could we be missing. TA’s inclusion of ALL high-scoring indicator thresholds is now available to address this question.

A Netherlands citizen is three times more productive than a Canadian, which means Canada loses $3 billion every day. Can you spot why this is true in these Threshold Analytics (TA) comparisons?

 

Threshold Analytics adds more data points and opportunities for discussion, but it also ensures that nothing can be overlooked. See an example of TA in our Case Study of international Constitutions.

TE’s thresholding approach determines Advance, Collapse, and Causality status for indicators, for nations, and for industries. See our Science of 70% page for an explanation of how we create TE Thresholds.

Hard Science in evidence-based Civics

How does it work?

Let’s begin by looking at a report by Professor Richard Wilkinson’s Nottingham University Research Team TED Report on Financial Inequality and Social Problems in 2013. See his TED Talk here …

Nottingham’s report is compelling because it shows conclusively that 13 social problems are caused by financial inequality in surveyed G20 countries. Clearly one sanity check for any civic science, therefore, is for it to be able to confirm that financial inequality and social problems have a causal relationship in these countries also, as proven by the Wilkenson Report. To prove this statement is true in every nation, “Financial Inequality causes Social Problems” has to be confirmed in 220 countries, in high/medium/low income nations, and so on.

Surveys of 13 social problems in 18 countries might sound like enough evidence to convince anyone, but what other information is available to bolster their report’s claim of “causality in ANY society”? Which other measures can confirm that financial inequality truly does create social problems – in any country?

As luck would have it, there seems to also be a similar correlation to social problems when we look at “Trade Balance” – of all things. In the chart below we can clearly see that the nations in the Nottingham survey that have trade surpluses, also exhibited low social problems and lower inequality.

Why are Trade Balance AND Financial Inequality valid determiners of social problems?

There is a lot going on in an economy, and here we see that both a social measure and an economic measure, appear causal to social problems. Why? Perhaps it’s because higher financial equality in a nation permits more citizens increased opportunities to contribute to start-up businesses, which then generates trade revenues from an increase in local production.

And, we can also learn from history. Today is a time of mature capitalism, imbalance, populism, clear misleadership, and collapse but things were not always this way. What did Financial Inequality (and Trade Balance) look like during the greatest boom economies of all time – just 70 years ago?

The United States, under the direction of Franklin Delano Roosevelt and then Harry Truman, created the greatest economy in history. Let’s take a closer look at that success.

In the charts above, we see that financial inequality was much lower during the economic boom that began in the late 1930s. That economic boom can easily be said, therefore, to have been caused by the correction of the inequality created during the 1920s and Great Depression (another mature capitalism and time of imbalance – like today). Wealth Inequality almost doubled between 1923 to 1928 and stayed high until 1940’s dramatic correction.

Can you also notice that Trade Balance changed as Inequality soared again in the 1980s?

What built that boom economy? Can you tell?

• Did WAR explain the boom economy of the 1950s and 60s? NO. World War I did not create a boom economy afterward; rather, it created the Great Depression. The US has been at war for the last 100 years and its production is collapsing for the last 40 years consistently
• Did GOVERNMENT SPENDING create the boom economy? NO. Government Spending is unchanged or higher as the US collapsed for 40 years
• Did FINANCIAL EQUALITY create the boom economy? YES. Based on everything we see above, this is the truthful answer

So, the chicken-and-egg question of “Does money in the hands of many citizens create a strong economy?” has an answer – and that answer is Yes. Does putting money in the hands of a few wealthy oligarchs create a strong economy – as things are today and in the 1920s (per Wealth Theory, Trickledown, and Transition Economy)? No.

This question is answered above – by evidence – and without Transition Economics.

Opportunity builds Productivity and National Prosperity reliably

Henry Ford didn’t invent the assembly line, but he did invent the living wage – and between himself and like-minded peer industrialists, he invented our modern economies. We wouldn’t want to return to pre-middle-class economic eras, the cost is far too great.

The evidence-based civics study above, shows us that the Wealth and Income Inequality reports are important for reliable economic success. Voters who are not trained in evidence-based civics won’t notice that politicians in collapsing nations don’t share causal reports – like wealth and income inequality, currency turnover, etc., or that political groups actively hide this teaching too – while promoting an ideology instead.

This tells you who your politicians are working for, and who your universities are working for too. A group that hides civics training or teaches indoctrination instead of science, is not working for national success, “for the people”, nor for you or your family or community. Groups that hide causal reporting are prioritizing the benefit of sponsors and special interests; usually, for the benefit of a group that is paying for their salaries, campaign office bills, advertising, private jets, new college campus buildings, endowments, university certification, WEF and SuperPAC memberships, etc., and are hiding this fact with whatever theory-based ideology that wins votes.

90% of large democracies are collapsing today, so understanding causality and truth in reporting is essential learning for every voter – and this need mandates democracies to teach a hard science in Civics, and to shore up weak Constitutions that today permit the abuse of our systems of government – by wealthy organizations who want to continue their current currency controls (incomes) uninterupted, and also by other nations who seek to influence policy decision-making.

After considering Trade Balance above, we could continue to look for causality in “Household Savings”, or in any one of the 1,500 other indicators which are collected by every nation annually. But, a guesswork method is labour-intensive and imprecise. Doctor Wilkenson’s survey and team couldn’t look at all countries, as we really should, owing to the high workload of their manual survey method.

So, is there a way to confirm which are the most causal measures from the 1,500 measures that we already collect from 220 countries? Can we confirm which indicators ARE able to influence the collapse and advance of any nation – like Professor Wilkenson’s “Financial Inequality” reports clearly can?

These are the questions and problems solved by Transition Economics (TE).

TE begins with TEP Scores

The Nottingham study above is explained in Transition Economics by the “Social Contract” report. Social Contract is an index of social indicators that are already collected in almost 180 countries presently, and then TE builds the frequency distribution chart (TE Proof – TEP Chart) here to the right, based on those survey findings.

Read our Science of 70% tutorial to learn how to recreate a TEP chart for yourself easily.

The Social Contract TEP chart tells us that poor Social Contract scores (an indication of high social problems) collapses a country 100%, and strong scores advance a country 100%. We call Social Contract a “Causal Indicator”, because its score is a perfect 1.0. Its highest frequency distribution (Y-) value is 100% (14 out of 14) advancing nations, and its lowest value (10 of 10 countries were collapsing with low scores) is 0% (none of the 10 were advancing nations). TEP Scores are amplitudes, measured by subtracting the lowest score from the highest; 1.0 – 0 = 1 .0

This score of 1.0 indicates the highest possible causality score confirmed by the reporting of 176 countries.

Now that we are using a numeric approach instead of hit-and-miss guesswork, we can automate the computation work (we can make use of machine learning) to find indexes based on every combination of aggregated measures that score 1.0. We can ALSO consider other factors like the highest number of advancing nations: in the report above, we can see that 14 out of 14 countries with high scores were advancing nations; other reports have as many as 38 out of 38 countries advancing – by both Social measures and Economic measures.

A Social Measure is either an individual indicator or an index of measures, that is composed of social measures entirely – like Longevity, Education, Infant Mortality, or Social Contract

Economic Measures are indicators or indexes composed of economic measures like Trade, GDP, Government Spending, and similar.

Socioeconomic Measures are mixed measures which are a combinations of the two – Social Contract Product, UN. Happiness, etc.

Economies are high-transaction systems. This means that “high-probability-of–advance” policies build advance reliably, and the same is also true for “high-probability of collapse” policies – which collapse economies reliably. Advance Policies explain FDR’s Greatest Economy in History and Collapse Policies explain the GOP’s Neoliberalism Wealth Theory policies of the 1920s, which created the Great Depression in just a handful of years.

Civic Science is exceedingly simple: If you fund Advance Policies and don’t fund Collapse Policies, you are mathematically guaranteed to build a successful economy and society.

A professional engineering office nomenclature would re-phrase this as: When you professionally Change and Performance Manage your country to improve your causal scores in Advance Policies, Economic Advance is Guaranteed

“Collapse” is expensive and dangerous, so performance-managing causal indicators is essential to the responsible leadership of any nation. In any democracy, therefore, you only want to vote for Political Teams that implement Advance Policy – and who are also (preferably) endorsed, certified, and monitored by CSQ Research Certification programs too.

In Summary:

1. By improving your Social Contract score, you WILL advance your country
2. If you do nothing, things will remain collapsing or advancing at current rates; and,
3. If you drop your score you will collapse ANY country – no matter how strong it is

Here at CSQ Research, this is how we teach economic researchers and Civic Scientists to Double Your Economy and to build World Peace reliably.

 

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Civic Science’s Knowledgebase

The hunt for causal reports never stops.

The World Inequality Database (WID) is working on an indicator for wealth inequality for years and the Palma Index (10% highest incomes divided by 40% lowest incomes) appears promisingly causal but inconclusive with just 44 countries in their surveys to date. So, TE uses indicators that are known to be causal across almost 200 countries – like Trade Balance, Domestic Savings, and similar.

We have very recently found a causal report for Adult Wealth Inequality – in Credit Suisse’s Mean Wealth per Adult ($US) Report. This means that “Wealth per Adult” can be counted among the important measures of collapse or advance for any country. Note, however, the “sweet spot” in some Adult Wealth TEPs that show causality decreases (dropping to 70%) for the 13 countries with wealth over $274.9k per adult. The report appears causal up to these wealth scores.

Find hundreds of similar Causal, and not-so-causal, indicators and their TE proofs at the WAOH Civics Library. WAOH also curates a survey research “wishlist” for new indicators that evidence-based Civic Scientists might like to add to the existing measures list already collected.

Transition Economics Proof (TEP) Chart “scores” – are taken from frequency distribution (FD) charts created from indicator surveys from 28 to 220 nations – using a data science approach similar to Six Sigma and the Pareto Principle (the 80/20 Rule).

Why is “28 countries” the minimum permitted? Because, we want to see trendlines in the FD charts, which calls for a chart with no less than 4 data points; and, we also want each data point to compare no less than 7 countries so that we have as-statistically-significant a decision as can be offered by our often-small datasets. Surveys of more countries are better obviously, and data point comparisons of 10 countries or more offer more-truthful results.

TE isolates high-income countries in some reports, and mid and low-income countries in others; there are many ways to look at available data – but usually, TE surveys with more countries (120+) make better, more credible, reports.

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Confirm any report here for yourself

TE is a science that makes “unsupported by data” opinions impossible. Anyone can confirm these survey results for themselves using public data and a spreadsheet.

We called our first scoring method – the Science of 70%; and the tutorial at this link explains how to create any TEP charts that you see here on the CSQ1.org website – for yourself – so that you don’t have to take our word for anything. You can also reach out to request any of our TEP chart source data at [email protected] (we take data from a hundred sources) and APIs are available to save your research teams from having to recalculate TEP chart data points and scores for yourself.

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Finding Data and Creating TE Causality Scores

An “indicator” is just a measure that has been collected similarly in many countries. Examples include Population, Longevity, Trade Balance, and 1500 other measures that are recorded and forwarded to data consolidators so that this data can be easily downloaded online by any of us who are reading this article.

Data Consolidators include the WHO, United Nations, the World Bank, OECD, Wiki lists, and hundreds of other providers and research bodies. Detail how-to questions are answered in our the Science of 70% tutorial mentioned above.

In addition to automating the creation of TEP Charts, the Science of 70%‘s “thresholds” permit us to understand whether a nation is collapsing or advancing too. See a Case Study example of this National Status approach here.

The WAOH Civics Library – is an evidence-based Public Civics Library (Library Symbol – OTWA), central Knowledgebase and Standard of Research, that curates and catalogs 60,000 TEP chart survey results along with metadata, APIs, MEMS A.I. and Machine Learning tools.

Score – Each TEP Chart is scored by subtracting its maximum value from its minimum value (the chart’s “amplitude”). A TEP chart’s maximum possible score is 100% minus 0% – or 1.0, but the great majority of indicator TEP surveys score between .6 and .7.

Rank – is the importance of the report (by score) compared to all other TEP Reports

Click here to learn how to read TEP Charts

TEP “Sheets” – present many TEP Reports for a single indicator onto one sheet. Click on the image to the right here …

TEP Report Types – can include TEP (Trade Balance), Social Contract (SC), Social Contract Product (SCP), High-Income (HI) nations, Change over x years, Gini, Per Population, and so on.

TEP Sheet Scores – average all TEP scores on a TEP Sheet together, for one indicator.

Indexes – Indexes combine several indicators until an optimal causality is reached. The most causal reports are Indexes.

Data Quality, History, and Consistency

Consistency – Smaller countries can only afford to collect a smaller number of indicator measures, and not all measures are collected annually, some are collected intermittently (once every 3 to 5 years), and other measures are one-time collections without history.

History – Some data is recorded for a century in some cases – and even 200 years in the example of the USA’s GDP reports, while others start reporting in the 1960s, and more still began in the 1990s. PPP was used for the first time in 1990, so there won’t be PPP stats earlier than this.

Data Quality – Much time and effort is taken to gather and forward measures reliably. Embarrassing stats such as suicide, homelessness, wealth inequality, and infant mortality rates can be under-reported in many countries, but the hiding of some stats by embarrassed countries tends to be consistent and ubiquitous. If one is hiding a true stat, they are all hiding their true values.

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Curated Data and MEMS Dashboard

The number of TE Proof Reports and Report Types is growing too, but today a typical “TEP Sheet” displays 20 TEP Report Types with XY Scatter Charts – and then MEMS AI, TE’s interactive AI Dashboard, also presents additional versions of each TEP Report and an API interface too.

WAOH and MEMS are presently the only source of Transition Economics Data online. Also see Data Science at WAOH 

By recording the scores taken from tens of thousands of TEP Charts and TEP Sheets, and then sorting and ranking them, we can confirm every indicator’s importance and probability of contributing to the building of a successful economy and society.

Indicators can also be aggregated so that multiple indicators can combine to create an index (see how indexes are built below). Index values can then be charted, scored, and ranked; and trending reports can explain changes in the index over time as far back as we have data.

The following table shows 1500+ indicators (and indexes) ranked by TEP Scores for Social Contract, 10-year Change, Trade Balance, Population, High-Income Nations, and combinations of these measures too, summarizing the scores collected from all frequency distribution reports.

These web-based tables permit us to resort them by column easily, and this makes the analysis of important indicators and combinations straightforward for anyone.

Indicator	TEP	TEP HIs	SCP	Soc Contract	GINI	Per Cap	SCP 2020	SC 2020	TEP-SCP	TEP-SCP HIs	TEP-SC	TEP-SC HIs	TEP-CAP	TEP-CAP HIs	TEP CAP SC	TEP CAP SC HIs	Mean All
% Agro Land	0.44	0.22	0.41	0.45	0.25	0.6	0.4	0.52	0.425	0.225	0.445	0.155	0.52	0.29	0.496666667	0.223333333	0.466
% Arable Land	0.43	0.51	0.57	0.47	0.37	0.42	0.46	0.51	0.5	0.395	0.45	0.29	0.425	0.425	0.44	0.306666667	0.496
Abortion Rates	0.39	0.44	0.45	0.42	0.52	0.19	0.42	0.59	0.42	0.28	0.405	0.23	0.29	0.28	0.333333333	0.193333333	0.42
Access Electricity Rural	0.4	0	0.52	0.64	0.31	0.47	0.5	0.48	0.46	0	0.52	0	0.435	0.21	0.503333333	0.14	0.576
Access Electricity Urban	0.46	0	0.51	0.65	0.32	0.49	0.51	0.42	0.485	0	0.555	0	0.475	0.21	0.533333333	0.14	0.606
Account Balance %	0.77	0.5	0.69	0.67	0.5	0.71	0.5	0.62	0.73	0.4	0.72	0.375	0.74	0.5	0.716666667	0.416666667	0.582
Account Balance US$	0.94	0.62	0.85	0.85	0.34	0.84	0.92	0.69	0.895	0.48	0.895	0.435	0.89	0.62	0.876666667	0.496666667	0.876
Adjusted Savings US$	0.67	0.29	0.75	0.87	0.34	0.94	0.83	0.67	0.71	0.335	0.77	0.27	0.805	0.37	0.826666667	0.33	0.726
Adv Edu Labor %	0.52	0.38	0.39	0.38	0.28	0.52	0.5	0.47	0.455	0.4	0.45	0.34	0.52	0.38	0.473333333	0.353333333	0.464
Adv Edu. Labor Force	0.41	0.33	0.36	0.48	0.21	0.49	0.5	0.53	0.385	0.29	0.445	0.365	0.45	0.355	0.46	0.37	0.432
Ag Machinery	0.79	0.26	0.92	0.92	0.44	0.61	0.92	0.75	0.855	0.3	0.855	0.255	0.7	0.34	0.773333333	0.31	0.716
Age 65 + Male	0.94	0.43	0.92	0.93	0.53	0.41	1	1	0.93	0.445	0.935	0.34	0.675	0.42	0.76	0.363333333	0.772
Aged >80 Male as %Pop	0.54	0.31	0.85	0.92	0.5	0.51	1	0.79	0.695	0.365	0.73	0.19	0.525	0.32	0.656666667	0.236666667	0.668
Agri Forest Fish	0.37	0.21	0.49	0.5	0.19	0.39	0.28	0.7	0.43	0.255	0.435	0.23	0.38	0.255	0.42	0.253333333	0.476
Agri For-Fish Growth	0.53	0.28	0.49	0.49	0.17	0.28	0.34	0.54	0.51	0.215	0.51	0.29	0.405	0.245	0.433333333	0.263333333	0.46
Agri Irrigated	0.5	0.13	0.71	0.64	0.4	0.44	0.62	0.42	0.605	0.125	0.57	0.19	0.47	0.17	0.526666667	0.196666667	0.505
Agricultural Methane	0.22	0.33	0.38	0.33	0.35	0.34	0.4	0.48	0.3	0.28	0.275	0.25	0.28	0.34	0.296666667	0.283333333	0.358
Agricultural Methane	0.49	0.11	0.47	0.57	0.28	0.45	0.51	0.73	0.48	0.125	0.53	0.17	0.47	0.235	0.503333333	0.233333333	0.526
Agriculture %	0.88	0.39	0.82	0.9	0.44	0.61	1	0.9	0.85	0.405	0.89	0.345	0.745	0.435	0.796666667	0.39	0.79
Agro Land (km2)	0.47	0.47	0.21	0.4	0.35	0.57	0.22	0.61	0.34	0.325	0.435	0.36	0.52	0.45	0.48	0.383333333	0.436
Agro Machines	0.69	0.3	0.8	0.83	0.67	0.62	0.83	0.57	0.745	0.225	0.76	0.235	0.655	0.46	0.713333333	0.363333333	0.598
Aid DAC to Hungary	0.29	0	0.31	0.52	0.3	0.26	0.33	0.09	0.3	0	0.405	0	0.275	0	0.356666667	0	0.37
Aid Flows donors	0.5	0.48	0.5	0.42	0.33	0.48	0.29	0.33	0.5	0.24	0.46	0.24	0.49	0.39	0.466666667	0.26	0.454
Air Freight	0.74	0.46	0.69	0.77	0.4	0.8	0.91	0.64	0.715	0.345	0.755	0.355	0.77	0.335	0.77	0.306666667	0.702
Air Infrastructure	0.59	0.4	0.67	0.74	0.44	0.88	0.77	0.6	0.63	0.305	0.665	0.325	0.735	0.325	0.736666667	0.3	0.644
Air Pollution	0.53	0.28	0.8	0.93	0.4	0.33	0.94	1	0.665	0.295	0.73	0.225	0.43	0.35	0.596666667	0.29	0.753333333
Air Pollution %pop	0.37	0.29	0.62	0.75	0.24	0.47	0.84	0.83	0.495	0.235	0.56	0.23	0.42	0.32	0.53	0.27	0.58
Air Traffic	0.58	0.13	0.67	0.67	0.44	0.62	0.71	0.54	0.625	0.155	0.625	0.19	0.6	0.17	0.623333333	0.196666667	0.618
Alcohol (litres/yr)	0.55	0.33	0.74	0.61	0.62	0.29	0.69	0.53	0.645	0.28	0.58	0.315	0.42	0.29	0.483333333	0.293333333	0.633333333
Alcohol per Cap	0.55	0.27	0.74	0.61	0.54	0.29	0.65	0.56	0.645	0.25	0.58	0.285	0.42	0.225	0.483333333	0.25	0.633333333
Alt Convert Factor	0.57	0.35	0.66	0.8	0.46	0.58	0.73	0.74	0.615	0.285	0.685	0.26	0.575	0.435	0.65	0.346666667	0.628
Anemia <5	0.81	0.3	0.9	1	0.7	0.46	1	0.9	0.855	0.4	0.905	0.315	0.635	0.4	0.756666667	0.376666667	0.806
Anemia in Pregancy	0.47	0.45	0.78	0.78	0.55	0.39	0.66	0.7	0.625	0.41	0.625	0.36	0.43	0.435	0.546666667	0.38	0.71
Anemia Non-preg	0.66	0.42	0.76	0.74	0.53	0.39	0.75	0.82	0.71	0.4	0.7	0.39	0.525	0.42	0.596666667	0.4	0.726
Anemia Women 15-49	0.61	0.42	0.76	0.74	0.53	0.39	0.73	0.78	0.685	0.4	0.675	0.39	0.5	0.42	0.58	0.4	0.73
Annualized	0.33	0.5	0.19	0.61	0.41	0.51	0.55	0.45	0.26	0.46	0.47	0.375	0.42	0.34	0.483333333	0.31	0.376666667
Annualized	0.37	0.39	0.39	0.65	0.34	0.62	0.46	0.38	0.38	0.3	0.51	0.28	0.495	0.39	0.546666667	0.316666667	0.47
Aquaculture	0.45	0.47	0.44	0.51	0.32	0.42	0.67	0.38	0.445	0.385	0.48	0.36	0.435	0.445	0.46	0.38	0.44
Arab imports	0.47	0.54	0.88	0.6	0.65	0.46	0.59	0.39	0.675	0.46	0.535	0.395	0.465	0.52	0.51	0.43	0.586
Arable Land (hec)	0.4	0.67	0.28	0.37	0.26	0.42	0.28	0.74	0.34	0.44	0.385	0.42	0.41	0.525	0.396666667	0.406666667	0.432
Arable Land (hec/cap)	0.42	0.38	0.38	0.61	0.28	0.43	0.26	0.74	0.4	0.35	0.515	0.34	0.425	0.35	0.486666667	0.333333333	0.494
Arms Exports	0.34	0.29	0.75	0.74	0.46	0.46	0.74	0.63	0.545	0.27	0.54	0.235	0.4	0.265	0.513333333	0.236666667	0.486
Arms Import	0.6	0.41	0.62	0.71	0.36	0.46	0.64	0.45	0.61	0.3	0.655	0.24	0.53	0.325	0.59	0.24	0.632
ATMs	0.69	0.13	0.77	0.77	0.35	0.59	0.85	0.62	0.73	0.255	0.73	0.165	0.64	0.215	0.683333333	0.21	0.71
Bachelors Female	0.86	0.1	0.75	0.82	0.5	0.48	0.78	0.69	0.805	0.255	0.84	0.13	0.67	0.26	0.72	0.226666667	0.81
Bad Loans	0.64	0.21	0.76	0.83	0.36	0.56	0.94	0.82	0.7	0.265	0.735	0.215	0.6	0.32	0.676666667	0.286666667	0.6825
Bal Budgets %GDP	0.6	0.42	0.47	0.68	0.29	0.42	0.49	0.52	0.535	0.305	0.64	0.31	0.51	0.4	0.566666667	0.333333333	0.583333333
Bank Branches	0.55	0.3	0.5	0.67	0.26	0.61	0.54	0.54	0.525	0.3	0.61	0.265	0.58	0.4	0.61	0.343333333	0.62
Bank Capital:Asset Ratio	0.5	0.23	0.3	0.42	0.38	0.51	0.55	0.55	0.4	0.205	0.46	0.215	0.505	0.385	0.476666667	0.323333333	0.3925
Bank Reserves	0.5	0.07	0.6	0.71	0.21	0.22	0.58	0.72	0.55	0.035	0.605	0.035	0.36	0.07	0.476666667	0.046666667	0.5625
Barter Index	0.73	0.33	0.55	0.43	0.5	0.31	0.59	0.35	0.64	0.325	0.58	0.21	0.52	0.415	0.49	0.306666667	0.508
Battered Women	0.45	0	0.33	0.33	0.19	0.17	0.15	0.09	0.39	0	0.39	0	0.31	0	0.316666667	0	0.37
Beatings	0.33	0	0.38	0.25	0.17	0.3	0.14	0.08	0.355	0	0.29	0	0.315	0	0.293333333	0	0.32
Big Mac Index	0.5	0	0.29	0.64	0.35	0.42	0.63	0.8	0.395	0	0.57	0	0.46	0	0.52	0	0.3875
Billionaires Per Nation	0.28	0.5	0.53	0.39	0.69	0.57	0.62	0.44	0.405	0.31	0.335	0.305	0.425	0.325	0.413333333	0.253333333	0.394
Birth rate, crude	0.69	0.38	0.81	0.94	0.47	0.5	0.76	0.6	0.75	0.31	0.815	0.315	0.595	0.4	0.71	0.35	0.71
Births Lost	0.52	0.59	0.34	0.42	0.38	0.56	0.5	0.16	0.43	0.46	0.47	0.405	0.54	0.595	0.5	0.47	0.398
Borrowers	0.47	0	0.5	0.7	0.23	0.47	0.7	0.36	0.485	0	0.585	0	0.47	0	0.546666667	0	0.5225
Bribery	0.36	0	0.26	0.56	0.33	0.37	0.54	0.4	0.31	0	0.46	0	0.365	0	0.43	0	0.37
Broad Money	0.57	0.4	0.69	0.77	0.4	0.57	0.69	0.53	0.63	0.2	0.67	0.2	0.57	0.45	0.636666667	0.3	0.618
Broad Money Growth	0.62	0.62	0.5	0.41	0.33	0.58	0.44	0.5	0.56	0.31	0.515	0.31	0.6	0.38	0.536666667	0.253333333	0.42
Broad Money LCU	0.53	0.13	0.38	0.38	0.3	0.43	0.5	0.32	0.455	0.065	0.455	0.065	0.48	0.21	0.446666667	0.14	0.396
Broad Money Ratio	0.36	0.5	0.33	0.45	0.27	0.24	0.47	0.36	0.345	0.25	0.405	0.25	0.3	0.34	0.35	0.226666667	0.408
Budget Deficits	0.85	0.45	0.67	0.53	0.61	0.77	0.5	0.5	0.76	0.475	0.69	0.35	0.81	0.425	0.716666667	0.366666667	0.683333333
Bus Start days	0.37	0.46	0.58	0.6	0.32	0.41	0.53	0.51	0.475	0.515	0.485	0.375	0.39	0.44	0.46	0.39	0.455
Bus Start Male Days	0.46	0.57	0.54	0.61	0.33	0.41	0.57	0.55	0.5	0.57	0.535	0.43	0.435	0.495	0.493333333	0.426666667	0.47
Bus. Start Fem. Days	0.47	0.53	0.58	0.6	0.33	0.41	0.52	0.51	0.525	0.555	0.535	0.43	0.44	0.475	0.493333333	0.426666667	0.48
Business Disclosure Index	0.41	0.27	0.36	0.36	0.31	0.39	0.55	0.3	0.385	0.235	0.385	0.225	0.4	0.285	0.386666667	0.25	0.3575
Cap Formation	0.36	0.13	0.55	0.42	0.34	0.32	0.56	0.46	0.455	0.145	0.39	0.19	0.34	0.165	0.366666667	0.193333333	0.476
Cap Formation	0.36	0.3	0.6	0.59	0.28	0.37	0.57	0.53	0.48	0.3	0.475	0.275	0.365	0.29	0.44	0.276666667	0.504
Cap Formation	0.41	0.14	0.49	0.49	0.34	0.36	0.5	0.46	0.45	0.14	0.45	0.195	0.385	0.175	0.42	0.2	0.422
Cap Formation	0.49	0.37	0.53	0.52	0.47	0.41	0.54	0.65	0.51	0.29	0.505	0.245	0.45	0.26	0.473333333	0.213333333	0.554
Cap Formation	0.49	0.08	0.4	0.49	0.38	0.41	0.46	0.36	0.445	0.24	0.49	0.23	0.45	0.215	0.463333333	0.27	0.466
Cap Formation	0.58	0.46	0.45	0.59	0.23	0.31	0.56	0.53	0.515	0.295	0.585	0.355	0.445	0.38	0.493333333	0.336666667	0.512
Cap Formation	0.76	0.62	0.8	0.87	0.3	0.86	0.85	0.62	0.78	0.48	0.815	0.5	0.81	0.425	0.83	0.41	0.754
Cap Formation	0.76	0.5	0.73	0.87	0.3	0.88	0.85	0.62	0.745	0.39	0.815	0.44	0.82	0.4	0.836666667	0.393333333	0.756
Cap Formation	0.87	0.4	0.86	0.83	0.34	0.92	0.83	0.57	0.865	0.34	0.85	0.39	0.895	0.41	0.873333333	0.4	0.75
Cap Formation	0.88	0.38	0.86	0.83	0.34	0.83	0.87	0.67	0.87	0.33	0.855	0.38	0.855	0.34	0.846666667	0.353333333	0.736
Capital	0.59	0.29	0.67	0.48	0.44	0.4	0.63	0.63	0.63	0.355	0.535	0.23	0.495	0.26	0.49	0.23	0.482
Capital Formation $	0.55	0.42	0.55	0.53	0.32	0.35	0.56	0.47	0.55	0.36	0.54	0.335	0.45	0.35	0.476666667	0.316666667	0.484
Capital Formation %	0.38	0.22	0.56	0.49	0.21	0.41	0.37	0.5	0.47	0.31	0.435	0.235	0.395	0.335	0.426666667	0.306666667	0.482
Capture Fisheries	0.33	0.24	0.47	0.41	0.44	0.37	0.5	0.41	0.4	0.25	0.37	0.235	0.35	0.39	0.37	0.336666667	0.482
Cause Death non-comncble	0.57	0.36	0.8	0.85	0.6	0.55	0.88	0.75	0.685	0.39	0.71	0.215	0.56	0.37	0.656666667	0.27	0.74
Cause of Death disease	0.6	0.24	0.81	0.9	0.6	0.36	0.76	0.65	0.705	0.28	0.75	0.245	0.48	0.33	0.62	0.303333333	0.77
Cause of Death Registry	0.4	0.12	0.49	0.46	0.36	0.37	0.56	0.41	0.445	0.3	0.43	0.14	0.385	0.25	0.41	0.22	0.462
Cell subscriptions	0.8	0.54	0.62	0.59	0.41	0.47	0.69	0.5	0.71	0.41	0.695	0.42	0.635	0.445	0.62	0.396666667	0.652
Cell Subsribers	0.37	0.62	0.35	0.38	0.34	0.69	0.43	0.25	0.36	0.425	0.375	0.425	0.53	0.6	0.48	0.476666667	0.334
Cereal Land	0.41	0.35	0.21	0.25	0.31	0.41	0.27	0.64	0.31	0.29	0.33	0.265	0.41	0.295	0.356666667	0.256666667	0.384
Cereal tons	0.35	0.35	0.35	0.29	0.38	0.52	0.31	0.38	0.35	0.25	0.32	0.3	0.435	0.35	0.386666667	0.316666667	0.37
Cereal Yield	0.81	0.29	0.73	0.92	0.41	0.51	0.92	0.85	0.77	0.265	0.865	0.31	0.66	0.29	0.746666667	0.303333333	0.648
Changes	0.46	0	0.26	0.4	0.33	0.31	0.26	0.24	0.36	0	0.43	0	0.385	0	0.39	0	0.378
Changes	0.58	0.24	0.61	0.61	0.44	0.73	0.63	0.6	0.595	0.225	0.595	0.31	0.655	0.265	0.64	0.303333333	0.614
Child	0.27	0	0.18	0.16	0.38	0.5	0.25	0.09	0.225	0	0.215	0	0.385	0	0.31	0	0.203333333
Child Empl Manuf	0.36	0	0.14	0.14	0.38	0.33	0.18	0.08	0.25	0	0.25	0	0.345	0	0.276666667	0	0.213333333
Child w. 1 Parent	0.41	0.4	0.41	0.16	0.53	0.36	0.15	0.41	0.41	0.33	0.285	0.285	0.385	0.335	0.31	0.28	0.355
Child w. 2 Parents	0.44	0.52	0.5	0.27	0.5	0.41	0.25	0.32	0.47	0.475	0.355	0.385	0.425	0.455	0.373333333	0.386666667	0.4275
Children	0.46	0	0.36	0.56	0.3	0.36	0.42	0.08	0.41	0	0.51	0	0.41	0	0.46	0	0.42
Christianity	0.41	0.36	0.4	0.36	0.34	0.37	0.43	0.44	0.405	0.305	0.385	0.33	0.39	0.295	0.38	0.296666667	0.39
Claims Govt	0.52	0.21	0.5	0.61	0.5	0.37	0.62	0.33	0.51	0.105	0.565	0.105	0.445	0.25	0.5	0.166666667	0.474
Claims Other	0.25	0.21	0.26	0.46	0.15	0.3	0.38	0.25	0.255	0.105	0.355	0.105	0.275	0.235	0.336666667	0.156666667	0.34
Claims Priv. Sector	0.28	0.19	0.3	0.45	0.36	0.36	0.26	0.24	0.29	0.095	0.365	0.095	0.32	0.295	0.363333333	0.196666667	0.346
Clean Fuel Tech	0.83	0.62	0.7	0.79	0.41	0.49	0.93	0.77	0.765	0.475	0.81	0.315	0.66	0.5	0.703333333	0.336666667	0.77
Clothing Manuftg	0.56	0.33	0.62	0.64	0.32	0.5	0.56	0.6	0.59	0.425	0.6	0.365	0.53	0.415	0.566666667	0.41	0.618
CO2 Emissions	0.36	0.19	0.61	0.63	0.36	0.57	0.4	0.53	0.485	0.2	0.495	0.22	0.465	0.21	0.52	0.223333333	0.536
CO2 emissions	0.48	0.3	0.54	0.48	0.34	0.47	0.64	0.7	0.51	0.3	0.48	0.235	0.475	0.265	0.476666667	0.233333333	0.502
CO2 emissions	0.49	0.4	0.65	0.69	0.47	0.33	0.52	0.44	0.57	0.305	0.59	0.3	0.41	0.435	0.503333333	0.356666667	0.504
CO2 emissions	0.5	0.56	0.53	0.47	0.47	0.45	0.64	0.36	0.515	0.445	0.485	0.405	0.475	0.445	0.473333333	0.38	0.562
CO2 emissions	0.58	0.33	0.74	0.53	0.59	0.8	0.65	0.42	0.66	0.27	0.555	0.29	0.69	0.285	0.636666667	0.273333333	0.634
CO2 emissions	0.64	0.43	0.69	0.78	0.37	0.84	0.88	0.67	0.665	0.365	0.71	0.33	0.74	0.43	0.753333333	0.363333333	0.682
CO2 emissions	0.64	0.43	0.58	0.72	0.24	0.67	0.84	0.67	0.61	0.24	0.68	0.26	0.655	0.48	0.676666667	0.35	0.664
CO2 emissions	0.8	0.62	0.67	0.73	0.47	0.79	0.69	0.62	0.735	0.425	0.765	0.435	0.795	0.535	0.773333333	0.44	0.68
CO2 emissions	0.93	0.53	0.67	0.69	0.47	0.93	0.73	0.5	0.8	0.405	0.81	0.39	0.93	0.41	0.85	0.356666667	0.7
CO2 emissions %	0.25	0.26	0.54	0.63	0.41	0.46	0.52	0.41	0.395	0.27	0.44	0.255	0.355	0.245	0.446666667	0.246666667	0.5
CO2 emissions/cap	0.87	0.41	0.85	0.87	0.5	0.73	0.92	0.92	0.86	0.455	0.87	0.395	0.8	0.495	0.823333333	0.456666667	0.776
CO2 Intensity	0.36	0.25	0.51	0.54	0.4	0.65	0.45	0.4	0.435	0.215	0.45	0.25	0.505	0.285	0.516666667	0.273333333	0.514
Coal	0.5	0.16	0.37	0.58	0.32	0.4	0.37	0.42	0.435	0.16	0.54	0.175	0.45	0.12	0.493333333	0.143333333	0.44
Coal Electricity	0.31	0.33	0.47	0.5	0.14	0.78	0.61	0.5	0.39	0.26	0.405	0.3	0.545	0.33	0.53	0.31	0.5
Comm. Imports $US	0.82	0.42	0.93	0.93	0.32	0.9	0.92	0.73	0.875	0.4	0.875	0.335	0.86	0.46	0.883333333	0.39	0.846
Communications	0.49	0.55	0.6	0.48	0.32	0.43	0.47	0.56	0.545	0.545	0.485	0.465	0.46	0.465	0.466666667	0.436666667	0.522
Compound Inflation	0.33	0.42	0.6	0.73	0.28	0.27	0.52	0.53	0.465	0.42	0.53	0.41	0.3	0.42	0.443333333	0.413333333	0.498
Compulsory	0.6	0.22	0.53	0.48	0.32	0.62	0.5	0.45	0.565	0.295	0.54	0.175	0.61	0.36	0.566666667	0.283333333	0.516
Computer Service	0.57	0.24	0.67	0.59	0.44	0.48	0.33	0.35	0.62	0.33	0.58	0.245	0.525	0.275	0.546666667	0.266666667	0.518
Computer Services	0.4	0.29	0.73	0.54	0.34	0.45	0.61	0.35	0.565	0.31	0.47	0.27	0.425	0.335	0.463333333	0.306666667	0.478
Computer Services	0.68	0.35	0.87	0.81	0.44	0.5	0.62	0.54	0.775	0.385	0.745	0.3	0.59	0.4	0.663333333	0.35	0.616
Condom Use Female	0.3	0	0.27	0.25	0.38	0.25	0.38	0.12	0.285	0	0.275	0	0.275	0	0.266666667	0	0.273333333
Condom Use Male	0.23	0	0.17	0.17	0.16	0.23	0.1	0	0.2	0	0.2	0	0.23	0	0.21	0	0.19
Consumption LCU	0.4	0.29	0.56	0.49	0.32	0.39	0.4	0.59	0.48	0.25	0.445	0.27	0.395	0.17	0.426666667	0.196666667	0.468
Consumption per GDP	1	0.78	0.69	0.67	0.41	0.42	0.7	0.7	0.845	0.58	0.835	0.49	0.71	0.57	0.696666667	0.446666667	0.654
Consumption Private	0.56	0.15	0.71	0.75	0.34	0.56	0.59	0.71	0.635	0.385	0.655	0.265	0.56	0.37	0.623333333	0.373333333	0.59
Consumption US$	0.72	0.5	0.69	0.85	0.44	0.87	0.77	0.62	0.705	0.39	0.785	0.375	0.795	0.415	0.813333333	0.36	0.686
Consumption US$	0.81	0.3	0.67	0.83	0.5	0.84	0.75	0.67	0.74	0.29	0.82	0.305	0.825	0.265	0.826666667	0.28	0.676
Consumption/Cap	0.36	0.3	0.62	0.54	0.37	0.33	0.6	0.41	0.49	0.225	0.45	0.25	0.345	0.36	0.41	0.306666667	0.45
Container Traffic	0.56	0.55	0.46	0.58	0.4	0.59	0.71	0.6	0.51	0.395	0.57	0.32	0.575	0.425	0.576666667	0.313333333	0.4725
Contraceptive % Fem	0.6	0.37	0.6	0.8	0.38	0.53	0.67	0.54	0.6	0.32	0.7	0.23	0.565	0.365	0.643333333	0.273333333	0.678
Contract Enforcmt	0.32	0.6	0.5	0.51	0.35	0.34	0.47	0.24	0.41	0.46	0.415	0.425	0.33	0.49	0.39	0.41	0.48
Contributing	0.66	0.21	0.9	0.84	0.47	0.78	0.92	0.9	0.78	0.255	0.75	0.27	0.72	0.315	0.76	0.32	0.788
Corp. Depreciation US$	0.79	0.5	0.77	0.85	0.41	0.86	0.87	0.69	0.78	0.46	0.82	0.44	0.825	0.42	0.833333333	0.406666667	0.77
Corruption Perception	0.81	0.38	0.86	0.92	0.44	0.42	0.9	0.9	0.835	0.33	0.865	0.225	0.615	0.335	0.716666667	0.246666667	0.863333333
Cost of Living Ratio	0.67	0.21	0.88	0.77	0.53	0.5	1	1	0.775	0.305	0.72	0.205	0.585	0.255	0.646666667	0.236666667	0.773333333
Cost to Export	0.6	0.39	0.94	0.82	0.59	0.7	0.88	0.65	0.77	0.385	0.71	0.265	0.65	0.345	0.706666667	0.276666667	0.786666667
Country Complexity	0.6	0.46	0.85	0.81	0.71	0.61	0.93	0.85	0.725	0.495	0.705	0.355	0.605	0.3	0.673333333	0.283333333	0.622
Coverage	0.38	0	0.33	0.38	0.24	0.5	0.33	0.09	0.355	0	0.38	0	0.44	0	0.42	0	0.363333333
CPI	0.59	0.38	0.62	0.73	0.32	0.41	0.55	0.7	0.605	0.28	0.66	0.275	0.5	0.34	0.576666667	0.283333333	0.584
CPIA	0.2	0	0.12	0.19	0.25	0.31	0.29	0.06	0.16	0	0.195	0	0.255	0	0.233333333	0	0.17
CPIA	0.23	0	0.2	0.35	0.12	0.31	0.12	0.06	0.215	0	0.29	0	0.27	0	0.296666667	0	0.195
CPIA	0.25	0	0	0	0	0.23	0	0	0.125	0	0.125	0	0.24	0	0.16	0	0.07
CPIA	0.25	0	0.15	0.2	0.1	0.31	0.17	0.07	0.2	0	0.225	0	0.28	0	0.253333333	0	0.2
CPIA Trade Rating	0.24	0	0.5	1	0.44	0.23	0	0.03	0.37	0	0.62	0	0.235	0	0.49	0	0.435
Credit %GDP	0.76	0.1	0.85	0.92	0.32	0.39	0.92	0.69	0.805	0.19	0.84	0.24	0.575	0.24	0.69	0.286666667	0.712
Credit Private % GDP	0.76	0.1	0.85	0.92	0.38	0.33	0.92	0.77	0.805	0.19	0.84	0.24	0.545	0.205	0.67	0.263333333	0.682
Credit Registry	0.68	0	0.52	0.65	0.5	0.47	0.52	0.27	0.6	0.105	0.665	0.17	0.575	0	0.6	0.113333333	0.6075
Crime & Theft	0.6	0.52	0.67	0.68	0.44	0.38	0.64	0.67	0.635	0.445	0.64	0.32	0.49	0.57	0.553333333	0.42	0.65
Crop Index	0.4	0.21	0.64	0.73	0.53	0.25	0.82	0.65	0.52	0.315	0.565	0.305	0.325	0.255	0.46	0.303333333	0.546
Cropland	0.45	0.54	0.41	0.46	0.6	0.61	0.47	0.38	0.43	0.52	0.455	0.435	0.53	0.55	0.506666667	0.476666667	0.452
Custom Process Burden	0.94	0.41	0.79	0.85	0.38	0.55	1	0.92	0.865	0.415	0.895	0.295	0.745	0.35	0.78	0.293333333	0.775
Customs Export	0.34	0	0.67	0.75	0.47	0.29	0.47	0.29	0.505	0	0.545	0	0.315	0	0.46	0	0.4525
Customs/Import Duties	0.67	0.26	0.71	0.75	0.49	0.67	0.82	0.67	0.69	0.355	0.71	0.265	0.67	0.28	0.696666667	0.276666667	0.516
Customs/Import Duties	0.72	0.26	0.78	0.89	0.49	0.72	0.82	0.65	0.75	0.22	0.805	0.17	0.72	0.225	0.776666667	0.176666667	0.674
CVD Cancer Diabetes	0.83	0.36	0.78	0.82	0.36	0.39	1	0.9	0.805	0.345	0.825	0.33	0.61	0.325	0.68	0.316666667	0.81
DAC Aid US$	0.69	0.6	0.56	0.67	0.5	0.76	0.78	0.69	0.625	0.3	0.68	0.3	0.725	0.56	0.706666667	0.373333333	0.558
Days Paid Vacation	0.44	0.21	0.64	0.57	0.5	0.55	0.64	0.5	0.54	0.205	0.505	0.23	0.495	0.355	0.52	0.32	0.55
Death Prob 10-14	0.73	0.3	0.91	0.94	0.61	0.48	0.95	0.61	0.82	0.425	0.835	0.285	0.605	0.3	0.716666667	0.29	0.742
Death Prob 15-19	0.83	0.56	0.89	1	0.54	0.47	1	0.71	0.86	0.67	0.915	0.445	0.65	0.43	0.766666667	0.396666667	0.794
Death Prob 20-24	0.94	0.5	0.9	0.94	0.5	0.47	0.93	1	0.92	0.545	0.94	0.415	0.705	0.4	0.783333333	0.376666667	0.716
Death Prob 5-9	0.82	0.44	0.93	0.95	0.71	0.55	1	0.73	0.875	0.22	0.885	0.22	0.685	0.37	0.773333333	0.246666667	0.764
Death rate, crude	0.61	0.41	0.42	0.43	0.38	0.6	0.45	0.7	0.515	0.36	0.52	0.355	0.605	0.38	0.546666667	0.353333333	0.496
Death Reporting Infant	0.61	0.42	0.67	0.74	0.4	0.56	0.64	0.69	0.64	0.48	0.675	0.375	0.585	0.37	0.636666667	0.356666667	0.673333333
Death Reporting Total	0.53	0.34	0.8	0.87	0.56	0.35	0.8	0.53	0.665	0.44	0.7	0.255	0.44	0.37	0.583333333	0.303333333	0.733333333
Deaths < 5	0.59	0.42	0.7	0.74	0.41	0.79	0.6	0.8	0.645	0.235	0.665	0.335	0.69	0.375	0.706666667	0.333333333	0.646
Deaths 10-14	0.44	0.36	0.7	0.67	0.38	0.84	0.53	0.7	0.57	0.275	0.555	0.335	0.64	0.43	0.65	0.39	0.534
Deaths 15-19	0.6	0.36	0.7	0.67	0.47	0.88	0.65	0.7	0.65	0.295	0.635	0.295	0.74	0.43	0.716666667	0.363333333	0.622
Deaths 20-24	0.47	0.32	0.7	0.67	0.35	0.83	0.59	0.6	0.585	0.29	0.57	0.265	0.65	0.36	0.656666667	0.31	0.6
Deaths 5-9 yrs	0.43	0.18	0.64	0.73	0.34	0.94	0.62	0.55	0.535	0.115	0.58	0.215	0.685	0.34	0.7	0.31	0.54
Debt Net Flows Extl	0.56	0	0.38	0.45	0.13	0.26	0.25	0.25	0.47	0	0.505	0	0.41	0	0.423333333	0	0.478
Debt Rescheduled	0.35	0	0	0	0	0.35	0	0.14	0.175	0	0.175	0	0.35	0	0.233333333	0	0.294
Debt Service	0.26	0	0.38	0.5	0.31	0.38	0.5	0.38	0.32	0	0.38	0	0.32	0	0.38	0	0.342
Debt Service	0.32	0	0.25	0.38	0.18	0.43	0.5	0.25	0.285	0	0.35	0	0.375	0	0.376666667	0	0.296
Debt Service	0.38	0	0.38	0.62	0.26	0.3	0.38	0.12	0.38	0	0.5	0	0.34	0	0.433333333	0	0.432
Debt Service	0.41	0	0.38	0.31	0.27	0.23	0.25	0.12	0.395	0	0.36	0	0.32	0	0.316666667	0	0.38
Debt Service	0.62	0	0.21	0.29	0.2	0.53	0.33	0.08	0.415	0	0.455	0	0.575	0	0.48	0	0.336
Debt Service %	0.26	0	0.22	0.24	0.18	0.31	0.25	0.25	0.24	0	0.25	0	0.285	0	0.27	0	0.248
Debt Stock resched	0.28	0	0.03	0.3	0.03	0.28	0.05	0.06	0.155	0	0.29	0	0.28	0	0.286666667	0	0.1525
Democracy Index	0.86	0.36	0.86	0.8	0.65	0.36	0.92	0.92	0.86	0.325	0.83	0.295	0.61	0.295	0.673333333	0.273333333	0.7475
Deposit Int Rate	0.63	0.28	0.62	0.62	0.47	0.67	0.62	0.56	0.625	0.14	0.625	0.14	0.65	0.245	0.64	0.163333333	0.538
Depositors	0.42	0	0.54	0.54	0.27	0.41	0.55	0.4	0.48	0	0.48	0	0.415	0	0.456666667	0	0.49
Depth of Credit Info	0.24	0.21	0.33	0.34	0.34	0.46	0.29	0.16	0.285	0.28	0.29	0.195	0.35	0.255	0.346666667	0.23	0.303333333
Development Asst	0.74	0.4	0.78	0.76	0.25	0.72	0.78	0.69	0.76	0.2	0.75	0.2	0.73	0.46	0.74	0.306666667	0.588
Development Asst	0.74	0.6	0.78	0.76	0.32	0.72	0.71	0.62	0.76	0.3	0.75	0.3	0.73	0.56	0.74	0.373333333	0.576
Disposable Income $US	0.29	0.23	0.75	0.75	0.58	0.45	0.62	1	0.52	0.26	0.52	0.19	0.37	0.26	0.496666667	0.223333333	0.39
Dist.to Frontier	0.76	0.14	0.8	0.74	0.56	0.51	0.87	0.69	0.78	0.28	0.75	0.13	0.635	0.22	0.67	0.186666667	0.766666667
Divorce Rate	0.21	0.13	0.49	0.57	0.5	0.3	0.57	0.32	0.35	0.18	0.39	0.18	0.255	0.265	0.36	0.253333333	0.346
Doctoral	0.68	0.23	0.8	0.8	0.38	0.79	0.8	0.9	0.74	0.315	0.74	0.24	0.735	0.305	0.756666667	0.286666667	0.76
Doctoral Female	0.84	0.23	0.76	0.8	0.43	0.67	0.84	0.9	0.8	0.305	0.82	0.215	0.755	0.305	0.77	0.27	0.8
Doctoral Male	0.71	0.1	0.73	0.88	0.47	0.79	0.8	0.9	0.72	0.3	0.795	0.24	0.75	0.24	0.793333333	0.286666667	0.773333333
Domestic	0.76	0.28	0.77	0.92	0.29	0.39	0.85	0.73	0.765	0.28	0.84	0.33	0.575	0.33	0.69	0.346666667	0.714
Domestic Credit	0.5	0	0.41	0.53	0.25	0.31	0.58	0.5	0.455	0	0.515	0	0.405	0	0.446666667	0	0.442
Domestic Credit LCU	0.57	0.19	0.38	0.33	0.34	0.57	0.5	0.31	0.475	0.245	0.45	0.22	0.57	0.26	0.49	0.256666667	0.396
Domestic Savings %GDP	0.92	0.88	0.67	0.62	0.44	0.87	0.77	0.69	0.795	0.69	0.77	0.565	0.895	0.65	0.803333333	0.516666667	0.63
Domestic Savings LCU	0.73	0.29	0.56	0.62	0.35	0.73	0.56	0.5	0.645	0.25	0.675	0.27	0.73	0.4	0.693333333	0.35	0.582
Domestic Savings US$	0.86	0.62	0.69	0.8	0.34	1	0.87	0.62	0.775	0.45	0.83	0.5	0.93	0.685	0.886666667	0.583333333	0.736
Drought, flood, temp	0.51	0.28	0.75	0.68	0.5	0.63	0.69	0.71	0.63	0.39	0.595	0.265	0.57	0.29	0.606666667	0.276666667	0.646666667
Ease of Business Index	0.78	0.25	0.82	0.74	0.41	0.41	0.82	0.64	0.8	0.285	0.76	0.16	0.595	0.215	0.643333333	0.166666667	0.78
Econ Fitness	0.68	0.5	0.77	0.81	0.28	0.53	0.92	0.36	0.725	0.39	0.745	0.375	0.605	0.4	0.673333333	0.35	0.753333333
Econ.Dev Assistance	0.76	0.48	0.75	0.76	0.27	0.84	0.78	0.59	0.755	0.24	0.76	0.24	0.8	0.465	0.786666667	0.31	0.572
Economic Freedom	0.54	0.27	0.69	0.79	0.38	0.39	0.68	0.75	0.615	0.285	0.665	0.195	0.465	0.325	0.573333333	0.256666667	0.673333333
Edu Attainment Tertiary F	0.81	0.24	0.8	0.87	0.6	0.44	0.8	0.75	0.805	0.235	0.84	0.245	0.625	0.235	0.706666667	0.24	0.73
Edu Attainment Tertiary M	0.76	0.3	0.85	0.85	0.5				0.805	0.34	0.805	0.275	0.76	0.3	0.805	0.275	0.715
Edu Masters Female	0.58	0.16	0.85	0.92	0.55	0.73	0.79	0.82	0.715	0.28	0.75	0.27	0.655	0.33	0.743333333	0.346666667	0.783333333
Edu Masters Male	0.63	0.22	0.8	0.78	0.6	0.71	0.74	0.82	0.715	0.36	0.705	0.21	0.67	0.36	0.706666667	0.306666667	0.736666667
Edu Primary female	0.69	0.35	0.8	0.73	0.57	0.59	0.75	0.67	0.745	0.505	0.71	0.255	0.64	0.34	0.67	0.28	0.63
Edu Secondary	0.7	0.28	0.93	0.93	0.53	0.69	0.87	0.73	0.815	0.39	0.815	0.265	0.695	0.29	0.773333333	0.276666667	0.7225
Edu Spend %GDP	0.41	0.19	0.56	0.59	0.21	0.39	0.52	0.47	0.485	0.285	0.5	0.22	0.4	0.21	0.463333333	0.223333333	0.542
Edu Spend %Gov	0.46	0.13	0.52	0.52	0.44	0.24	0.43	0.29	0.49	0.13	0.49	0.19	0.35	0.18	0.406666667	0.203333333	0.506
Edu Spend/Pupil	0.63	0.11	0.67	0.69	0.32	0.49	0.8	0.73	0.65	0.265	0.66	0.18	0.56	0.305	0.603333333	0.286666667	0.6275
Educ. % of Primary Cmplt	0.76	0.24	0.83	0.92	0.6	0.45	1	0.77	0.795	0.325	0.84	0.245	0.605	0.26	0.71	0.256666667	0.768
Educ. Secondary Pupils	0.62	0.5	0.44	0.36	0.23	0.54	0.29	0.54	0.53	0.365	0.49	0.365	0.58	0.42	0.506666667	0.356666667	0.482
Education Cost	0.5	0	0.28	0.1	0.55	0.3	0	0.18	0.39	0	0.3	0	0.4	0	0.3	0	0.293333333
Education Index	0.8	0.23	0.93	0.93	0.51	0.61	0.92	0.69	0.865	0.425	0.865	0.24	0.705	0.265	0.78	0.26	0.886666667
Education Masters	0.61	0.26	0.85	0.92	0.55	0.56	0.63	0.75	0.73	0.33	0.765	0.255	0.585	0.38	0.696666667	0.336666667	0.793333333
Education Middle	0.71	0.24	0.93	0.86	0.58	0.61	0.67	0.62	0.82	0.32	0.785	0.205	0.66	0.31	0.726666667	0.263333333	0.7075
Education Minimum	0.59	0.28	0.86	0.86	0.53	0.51	0.71	0.71	0.725	0.205	0.725	0.265	0.55	0.255	0.653333333	0.253333333	0.65
Education Pri. Pupils %Fem	0.69	0.54	0.75	0.88	0.41	0.53	0.69	0.69	0.72	0.48	0.785	0.42	0.61	0.55	0.7	0.466666667	0.684
Education to Gr-5	0.71	0.55	0.77	0.79	0.47	0.48	1	0.77	0.74	0.535	0.75	0.4	0.595	0.42	0.66	0.363333333	0.672
Educational	0.81	0.28	0.93	0.93	0.6	0.63	0.87	0.8	0.87	0.39	0.87	0.265	0.72	0.29	0.79	0.276666667	0.73
Electric Consumptn	0.82	0.53	0.92	1	0.43	0.68	1	0.92	0.87	0.535	0.91	0.455	0.75	0.41	0.833333333	0.4	0.794
Electric Vehicles	0.38	0	0	0	0	0.38	0	0	0.19	0	0.19	0	0.38	0	0.253333333	0	0.126666667
Electric xmit Loss %	0.69	0.29	0.81	0.85	0.43	0.32	1	0.89	0.75	0.355	0.77	0.345	0.505	0.29	0.62	0.326666667	0.67
Electricity Access %Pop	0.44	0	0.52	0.64	0.31	0.47	0.5	0.48	0.48	0	0.54	0	0.455	0.21	0.516666667	0.14	0.604
Emission Damage	0.9	0.27	1	1	0.6	0.51	1	1	0.95	0.435	0.95	0.235	0.705	0.385	0.803333333	0.323333333	0.89
Empl Agri Female	0.83	0.6	0.76	0.94	0.4	0.74	0.9	0.9	0.795	0.56	0.885	0.45	0.785	0.51	0.836666667	0.44	0.72
Empl Agri Male %	0.8	0.38	0.94	1	0.41	0.65	0.94	0.94	0.87	0.54	0.9	0.39	0.725	0.44	0.816666667	0.426666667	0.798
Empl Agriculture	0.9	0.6	0.88	1	0.41	0.6	0.94	1	0.89	0.65	0.95	0.5	0.75	0.55	0.833333333	0.5	0.794
Empl.Services %Fem	0.79	0.32	0.77	0.92	0.33	0.43	0.85	1	0.78	0.3	0.855	0.275	0.61	0.32	0.713333333	0.29	0.68
Empl:Pop Ratio 15-24	0.49	0.21	0.24	0.25	0.28	0.24	0.38	0.38	0.365	0.295	0.37	0.26	0.365	0.265	0.326666667	0.28	0.366
Empl:Pop Ratio Female	0.45	0.28	0.6	0.54	0.34	0.39	0.67	0.62	0.525	0.28	0.495	0.225	0.42	0.3	0.46	0.256666667	0.544
Empl:Pop Ratio Male	0.46	0.62	0.6	0.63	0.56	0.41	0.53	0.53	0.53	0.405	0.545	0.465	0.435	0.59	0.5	0.496666667	0.54
Empl:Population Ratio	0.56	0.5	0.47	0.41	0.38	0.35	0.35	0.63	0.515	0.38	0.485	0.405	0.455	0.49	0.44	0.43	0.408
Emplmt Compensation	0.37	0.09	0.56	0.53	0.4	0.27	0.44	0.47	0.465	0.165	0.45	0.17	0.32	0.165	0.39	0.193333333	0.422
Emplmt Compensation	0.68	0.36	0.78	0.67	0.56	0.5	0.71	0.6	0.73	0.405	0.675	0.315	0.59	0.28	0.616666667	0.276666667	0.64
Emplmt Services %Male	0.71	0.32	0.8	1	0.36	0.49	0.85	0.92	0.755	0.43	0.855	0.315	0.6	0.32	0.733333333	0.316666667	0.64
Employers Female	0.55	0.42	0.46	0.52	0.44	0.61	0.56	0.4	0.505	0.3	0.535	0.335	0.58	0.37	0.56	0.33	0.482
Employment	0.45	0.5	0.48	0.49	0.29	0.39	0.55	0.44	0.465	0.4	0.47	0.405	0.42	0.41	0.443333333	0.376666667	0.512
Employment	0.61	0.33	0.85	0.92	0.5	0.46	1	1	0.73	0.355	0.765	0.32	0.535	0.365	0.663333333	0.346666667	0.64
Energy Depltn	0.66	0.44	0.55	0.57	0.42	0.59	0.32	0.47	0.605	0.385	0.615	0.385	0.625	0.42	0.606666667	0.39	0.58
Energy Imports %	0.65	0.27	0.3	0.42	0.4	0.6	0.42	0.28	0.475	0.225	0.535	0.235	0.625	0.325	0.556666667	0.283333333	0.516
Energy Intensity Level	0.67	0.19	0.37	0.56	0.23	0.48	0.34	0.43	0.52	0.235	0.615	0.21	0.575	0.21	0.57	0.216666667	0.45
Energy Methane	0.48	0.6	0.47	0.61	0.2	0.88	0.54	0.47	0.475	0.45	0.545	0.455	0.68	0.625	0.656666667	0.52	0.516
Energy Methane	0.69	0.62	0.65	0.57	0.24	0.61	0.5	0.79	0.67	0.375	0.63	0.37	0.65	0.575	0.623333333	0.423333333	0.572
Energy Use	0.32	0.23	0.27	0.4	0.24	0.51	0.21	0.27	0.295	0.315	0.36	0.265	0.415	0.325	0.41	0.316666667	0.376
Energy Use	0.42	0.16	0.3	0.61	0.4	0.59	0.34	0.32	0.36	0.22	0.515	0.23	0.505	0.29	0.54	0.293333333	0.458
Energy Use	0.83	0.3	1	0.92	0.5	0.52	0.93	1	0.915	0.485	0.875	0.34	0.675	0.3	0.756666667	0.326666667	0.806
Energy Use Kg Oil	0.36	0.21	0.31	0.46	0.21	0.51	0.27	0.13	0.335	0.255	0.41	0.22	0.435	0.255	0.443333333	0.246666667	0.394
Equity Inflows $US	0.68	0.45	0.74	0.78	0.58	0.69	0.89	0.75	0.71	0.385	0.73	0.31	0.685	0.45	0.716666667	0.356666667	0.722
Errors & Omissions	0.53	0.39	0.74	0.84	0.37	0.69	0.9	0.7	0.635	0.36	0.685	0.32	0.61	0.325	0.686666667	0.3	0.738
Exchange Index	0.52	0.28	0.57	0.39	0.46	0.39	0.57	0.45	0.545	0.28	0.455	0.265	0.455	0.39	0.433333333	0.343333333	0.474
Expenditure	0.63	0.4	0.47	0.51	0.53	0.49	0.57	0.38	0.55	0.345	0.57	0.24	0.56	0.47	0.543333333	0.34	0.526
Export cost, Doc Complce	0.62	0.29	0.8	0.88	0.58	0.59	0.82	0.55	0.71	0.315	0.75	0.295	0.605	0.29	0.696666667	0.293333333	0.766666667
Export G & S	0.82	0.62	0.8	0.87	0.5	1	0.85	0.69	0.81	0.5	0.845	0.435	0.91	0.685	0.896666667	0.54	0.8
Export High Incomes	0.48	0.32	0.61	0.63	0.5	0.56	0.67	0.62	0.545	0.41	0.555	0.285	0.52	0.4	0.556666667	0.35	0.566
Export Lead time	0.47	0.17	0.5	0.47	0.25	0.37	0.42	0.43	0.485	0.25	0.47	0.125	0.42	0.275	0.436666667	0.21	0.47
Export per Capita	1	0.62	0.93	0.93	0.71	0.67	1	0.85	0.965	0.58	0.965	0.345	0.835	0.475	0.866666667	0.34	0.96
Export Value Index	0.36	0.32	0.49	0.4	0.31	0.43	0.41	0.53	0.425	0.36	0.38	0.26	0.395	0.365	0.396666667	0.31	0.444
Export Volume Index	0.45	0.5	0.38	0.5	0.31	0.56	0.41	0.47	0.415	0.415	0.475	0.35	0.505	0.455	0.503333333	0.37	0.456
Exports $US	0.87	0.8	0.73	0.85	0.5	1	0.85	0.77	0.8	0.55	0.86	0.525	0.935	0.775	0.906666667	0.6	0.792
Exports %GDP	0.92	0.5	0.62	0.51	0.44	0.39	0.52	0.62	0.77	0.4	0.715	0.31	0.655	0.425	0.606666667	0.323333333	0.598
Exports %Growth	0.57	0.23	0.49	0.48	0.47	0.38	0.49	0.43	0.53	0.23	0.525	0.15	0.475	0.265	0.476666667	0.2	0.54
Exports 2010 US$	0.82	0.62	0.73	0.83	0.5	1	0.85	0.69	0.775	0.46	0.825	0.435	0.91	0.62	0.883333333	0.496666667	0.806
Exports BoP$	0.77	0.75	0.8	0.92	0.44	1	0.92	0.85	0.785	0.565	0.845	0.5	0.885	0.75	0.896666667	0.583333333	0.798
Exports capcty to Import	0.65	0.67	0.46	0.53	0.4	0.52	0.5	0.47	0.555	0.545	0.59	0.46	0.585	0.605	0.566666667	0.486666667	0.504
Exports C-LCU	0.71	0.67	0.43	0.46	0.4	0.46	0.5	0.47	0.57	0.545	0.585	0.46	0.585	0.605	0.543333333	0.486666667	0.51
Exports ICT %Ex	0.31	0.35	0.38	0.51	0.53	0.26	0.28	0.41	0.345	0.325	0.41	0.3	0.285	0.41	0.36	0.356666667	0.43
Exports ICT US$	0.65	0.42	0.86	0.92	0.41	0.76	0.92	0.79	0.755	0.42	0.785	0.335	0.705	0.355	0.776666667	0.32	0.708
Exports LCU	0.69	0.54	0.4	0.49	0.24	0.39	0.5	0.56	0.545	0.48	0.59	0.395	0.54	0.53	0.523333333	0.436666667	0.47
Exports Merch $US	0.72	0.42	0.77	0.75	0.5	0.94	0.85	0.56	0.745	0.35	0.735	0.335	0.83	0.5	0.803333333	0.416666667	0.734
Exports Service	0.72	0.47	0.87	0.87	0.4	0.71	0.92	0.85	0.795	0.425	0.795	0.36	0.715	0.37	0.766666667	0.33	0.804
Exports to LI	0.5	0.25	0.44	0.43	0.47	0.67	0.6	0.44	0.47	0.275	0.465	0.315	0.585	0.26	0.533333333	0.3	0.496
Exports to low mid MidEast	0.55	0.42	0.56	0.62	0.53	0.37	0.56	0.5	0.555	0.37	0.585	0.27	0.46	0.48	0.513333333	0.36	0.458
Exports Transport Service	0.36	0.24	0.43	0.48	0.38	0.36	0.34	0.43	0.395	0.33	0.42	0.22	0.36	0.31	0.4	0.273333333	0.38
Exports Travel Services	0.52	0.38	0.69	0.61	0.53	0.38	0.6	0.43	0.605	0.255	0.565	0.315	0.45	0.345	0.503333333	0.313333333	0.552
Ext Debt Stocks	0.44	0	0.29	0.36	0.18	0.44	0.25	0.25	0.365	0	0.4	0	0.44	0	0.413333333	0	0.398
Ext Debt Stocks	0.54	0	0.23	0.24	0.15	0.32	0.42	0.12	0.385	0	0.39	0	0.43	0	0.366666667	0	0.382
Ext Debt Stocks	0.54	0	0.31	0.38	0.38	0.4	0.33	0.07	0.425	0	0.46	0	0.47	0	0.44	0	0.43
Ext Debt Stocks	0.55	0	0.3	0.31	0.23	0.39	0.5	0.21	0.425	0	0.43	0	0.47	0	0.416666667	0	0.412
Ext. Debt % Exports	0.38	0	0.27	0.41	0.33	0.46	0.33	0.15	0.325	0	0.395	0	0.42	0	0.416666667	0	0.353333333
Ext. Debt %GNI	0.42	0	0.38	0.43	0.38	0.37	0.62	0.38	0.4	0	0.425	0	0.395	0	0.406666667	0	0.41
Ext. Debt US$	0.44	0	0.29	0.36	0.16	0.38	0.25	0.13	0.365	0	0.4	0	0.41	0	0.393333333	0	0.363333333
External Debt Creditors	0.32	0	0.5	0.5	0.25	0.56	0.62	0.44	0.41	0	0.41	0	0.44	0	0.46	0	0.472
External Debt Private	0.27	0	0.22	0.44	0.3	0.5	0.3	0.12	0.245	0	0.355	0	0.385	0	0.403333333	0	0.36
External Debt Total	0.32	0	0.62	0.62	0.31	0.67	0.62	0.44	0.47	0	0.47	0	0.495	0	0.536666667	0	0.508
Family Workers	0.74	0.34	0.9	0.9	0.47	0.78	0.9	0.88	0.82	0.32	0.82	0.295	0.76	0.38	0.806666667	0.336666667	0.78
FDI In (US$)	0.65	0.5	0.7	0.85	0.7	0.71	0.8	0.63	0.675	0.48	0.75	0.405	0.68	0.48	0.736666667	0.423333333	0.73
FDI Inflows %GDP	0.42	0.28	0.52	0.46	0.54	0.37	0.48	0.48	0.47	0.305	0.44	0.265	0.395	0.215	0.416666667	0.226666667	0.464
FDI Net Out	0.8	0.49	0.77	0.81	0.38	0.76	0.92	0.77	0.785	0.395	0.805	0.37	0.78	0.49	0.79	0.41	0.794
FDI Net US$	0.81	0.29	1	0.94	0.37	0.82	0.92	0.85	0.905	0.355	0.875	0.23	0.815	0.29	0.856666667	0.25	0.852
FDI Outflows % GDP	0.74	0.5	0.68	0.7	0.3	0.37	0.85	0.73	0.71	0.32	0.72	0.375	0.555	0.355	0.603333333	0.32	0.698
Fed Gov Debt	0.39	0.38	0.43	0.52	0.36	0.32	0.54	0.47	0.41	0.335	0.455	0.27	0.355	0.38	0.41	0.306666667	0.334
Fem Married at 18	0.39	0	0.38	0.75	0.33	0.3	0.27	0.5	0.385	0	0.57	0	0.345	0	0.48	0	0.4625
Female %Pop 25-29	0.48	0.24	0.8	0.78	0.35	0.43	0.84	0.7	0.64	0.195	0.63	0.205	0.455	0.325	0.563333333	0.273333333	0.686
Female %Pop 55-59	0.62	0.31	0.73	0.93	0.47	0.68	0.81	0.62	0.675	0.305	0.775	0.305	0.65	0.395	0.743333333	0.363333333	0.682
Female Headed Hsehlds	0.36	0	0.15	0.25	0.3	0.36	0.25	0.08	0.255	0	0.305	0	0.36	0	0.323333333	0	0.253333333
Female Mutilation	0.03	0	0	0	0	0.03	0	0.09	0.015	0	0.015	0	0.03	0	0.02	0	0.01
Female Top Mgr	0.39	0	0.33	0.38	0.22	0.36	0.26	0.29	0.36	0	0.385	0	0.375	0	0.376666667	0	0.3575
Females Out of School	0.66	0.25	0.71	0.76	0.44	0.59	0.67	0.71	0.685	0.27	0.71	0.315	0.625	0.375	0.67	0.376666667	0.594
Fertility Age 15-19	0.78	0.55	0.9	0.94	0.6	0.57	1	1	0.84	0.465	0.86	0.375	0.675	0.48	0.763333333	0.386666667	0.788
Fertility Rate	0.68	0.5	0.82	0.82	0.47	0.49	0.76	0.6	0.75	0.36	0.75	0.305	0.585	0.5	0.663333333	0.37	0.724
Fertilizer Consumption	0.67	0.42	0.46	0.47	0.31	0.24	0.42	0.81	0.565	0.285	0.57	0.3	0.455	0.285	0.46	0.25	0.532
Fertilizer per Acre	0.64	0.21	0.73	0.75	0.36	0.33	0.49	0.44	0.685	0.21	0.695	0.23	0.485	0.255	0.573333333	0.253333333	0.614
Final	0.55	0.23	0.59	0.6	0.32	0.35	0.57	0.6	0.57	0.22	0.575	0.24	0.45	0.275	0.5	0.266666667	0.536
Financial Account US$	0.89	0.75	0.92	0.85	0.31	0.87	0.85	0.77	0.905	0.515	0.87	0.46	0.88	0.645	0.87	0.486666667	0.886
Financials % Export	0.45	0.43	0.4	0.33	0.44	0.48	0.53	0.56	0.425	0.325	0.39	0.34	0.465	0.265	0.42	0.26	0.402
Fish Threatened	0.25	0.44	0.65	0.59	0.5	0.42	0.39	0.41	0.45	0.385	0.42	0.345	0.335	0.48	0.42	0.403333333	0.496666667
Fixed Broadband	0.81	0.32	0.92	1	0.57	0.52	1	0.85	0.865	0.41	0.905	0.285	0.665	0.32	0.776666667	0.296666667	0.81
Fixed Phones	0.65	0.28	0.85	0.92	0.43	0.54	0.92	0.8	0.75	0.255	0.785	0.265	0.595	0.315	0.703333333	0.293333333	0.758
Fixed Phones	0.67	0.42	0.67	0.77	0.38	0.65	0.73	0.54	0.67	0.325	0.72	0.335	0.66	0.35	0.696666667	0.316666667	0.674
Food	0.5	0.3	0.76	0.76	0.29	0.26	0.65	0.53	0.63	0.31	0.63	0.3	0.38	0.365	0.506666667	0.343333333	0.636
Food	0.81	0.45	0.76	0.81	0.53	0.54	0.88	0.76	0.785	0.385	0.81	0.35	0.675	0.375	0.72	0.333333333	0.746
Food Exports	0.57	0.31	0.56	0.62	0.41	0.57	0.65	0.59	0.565	0.405	0.595	0.305	0.57	0.25	0.586666667	0.266666667	0.57
Food Index	0.47	0.06	0.46	0.67	0.34	0.39	0.65	0.59	0.465	0.2	0.57	0.155	0.43	0.21	0.51	0.223333333	0.45
Food Insecurity %	0.91	0.3	0.93	0.93	0.6	0.52	1	0.67	0.92	0.4	0.92	0.275	0.715	0.255	0.786666667	0.253333333	0.923333333
Foreign Assets LCU	0.39	0.33	0.38	0.41	0.21	0.24	0.43	0.49	0.385	0.19	0.4	0.2	0.315	0.305	0.346666667	0.226666667	0.356
Forest % land	0.49	0.47	0.44	0.43	0.28	0.48	0.31	0.64	0.465	0.26	0.46	0.28	0.485	0.525	0.466666667	0.38	0.516
Forest %GDP	0.69	0.29	0.7	0.82	0.47	0.6	0.82	0.9	0.695	0.305	0.755	0.295	0.645	0.29	0.703333333	0.293333333	0.728
Forest Depltn	0.9	0.36	0.7	0.8	0.4	0.8	0.8	0.9	0.8	0.225	0.85	0.215	0.85	0.36	0.833333333	0.263333333	0.806
Forest sq kms	0.58	0.32	0.34	0.35	0.53	0.43	0.21	0.68	0.46	0.25	0.465	0.245	0.505	0.385	0.453333333	0.313333333	0.5
Fossil Fuel consumptn	0.61	0.32	0.67	0.6	0.31	0.64	0.52	0.55	0.64	0.32	0.605	0.245	0.625	0.37	0.616666667	0.303333333	0.568
Freshwater per Cap	0.42	0.5	0.37	0.4	0.41	0.4	0.31	0.63	0.395	0.46	0.41	0.375	0.41	0.43	0.406666667	0.37	0.396666667
Freshwater Resources	0.35	0.5	0.29	0.31	0.41	0.43	0.31	0.64	0.32	0.275	0.33	0.375	0.39	0.5	0.363333333	0.416666667	0.316666667
Freshwater Withdrawal Ag.	0.57	0.55	0.7	0.67	0.54	0.46	0.72	0.63	0.635	0.525	0.62	0.375	0.515	0.465	0.566666667	0.376666667	0.646666667
Freshwater Withdrwl	0.3	0.44	0.43	0.4	0.21	0.49	0.48	0.27	0.365	0.245	0.35	0.345	0.395	0.44	0.396666667	0.376666667	0.376666667
Freshwater Withdrwl	0.35	0.47	0.54	0.55	0.25	0.36	0.31	0.34	0.445	0.445	0.45	0.36	0.355	0.425	0.42	0.366666667	0.48
Freshwater Withdrwl	0.47	0.38	0.5	0.62	0.47	0.33	0.43	0.5	0.485	0.215	0.545	0.225	0.4	0.44	0.473333333	0.316666667	0.53
Freshwater Withdrwl	0.69	0.16	0.92	0.82	0.63	0.52	0.82	0.67	0.805	0.33	0.755	0.165	0.605	0.225	0.676666667	0.206666667	0.81
Fuel Imports	0.56	0.26	0.53	0.46	0.47	0.41	0.53	0.47	0.545	0.34	0.51	0.28	0.485	0.31	0.476666667	0.306666667	0.5
GDP $US	0.73	0.75	0.69	0.85	0.44	0.92	0.77	0.62	0.71	0.515	0.79	0.565	0.825	0.71	0.833333333	0.6	0.74
GDP %Growth	0.56	0.47	0.59	0.66	0.35	0.31	0.51	0.59	0.575	0.26	0.61	0.36	0.435	0.57	0.51	0.463333333	0.542
GDP 2010US$	0.79	0.5	0.69	0.85	0.41	0.92	0.8	0.62	0.74	0.45	0.82	0.44	0.855	0.5	0.853333333	0.46	0.728
GDP ConstLCU	0.54	0.45	0.52	0.52	0.29	0.41	0.62	0.38	0.53	0.375	0.53	0.35	0.475	0.33	0.49	0.303333333	0.532
GDP Deflator	0.63	0.45	0.65	0.68	0.41	0.43	0.7	0.65	0.64	0.435	0.655	0.375	0.53	0.525	0.58	0.45	0.652
GDP Deflator: linked	0.63	0.43	0.65	0.68	0.41	0.36	0.7	0.65	0.64	0.425	0.655	0.365	0.495	0.515	0.556666667	0.443333333	0.616
GDP Growth $10yr	0.48	0.5	0.74	0.68	0.18	0.86	0.74	0.84	0.61	0.34	0.58	0.365	0.67	0.5	0.673333333	0.41	0.668
GDP Growth$/Cap 10yr	0.86	0.5	0.74	0.86	0.32	0.42	0.94	0.92	0.8	0.355	0.86	0.365	0.64	0.56	0.713333333	0.45	0.808
GDP Growth% 10yr	0.49	0.62	0.76	0.67	0.46	0.48	0.82	0.59	0.625	0.47	0.58	0.37	0.485	0.685	0.546666667	0.496666667	0.586
GDP Growth%/Cap 10yr	0.5	0.35	0.75	0.62	0.29	0.54	0.76	0.59	0.625	0.385	0.56	0.375	0.52	0.39	0.553333333	0.393333333	0.622
GDP LCU	0.54	0.35	0.43	0.42	0.29	0.39	0.52	0.5	0.485	0.28	0.48	0.3	0.465	0.275	0.45	0.266666667	0.446
GDP market	0.61	0.33	0.49	0.49	0.29	0.33	0.46	0.5	0.55	0.27	0.55	0.29	0.47	0.27	0.476666667	0.263333333	0.522
GDP per Cap $	0.92	0.66	0.93	1	0.58	0.61	1	1	0.925	0.54	0.96	0.455	0.765	0.555	0.843333333	0.453333333	0.918
GDP PPP Cap Grth 5yr	0.6	0.24	0.62	0.5	0.57	0.62	0.44	0.43	0.61	0.235	0.55	0.18	0.61	0.265	0.573333333	0.216666667	0.552
GDP-Cap %Growth	0.29	0.54	0.59	0.45	0.44	0.48	0.43	0.44	0.44	0.48	0.37	0.37	0.385	0.495	0.406666667	0.396666667	0.436
GDP-Cap 2010$US	0.92	0.5	0.93	1	0.51	0.59	1	1	0.925	0.52	0.96	0.44	0.755	0.49	0.836666667	0.453333333	0.902
GDP-Cap Const-LCU	0.44	0.21	0.46	0.56	0.35	0.3	0.56	0.5	0.45	0.415	0.5	0.295	0.37	0.365	0.433333333	0.37	0.456
GDP-Cap LCU	0.33	0.2	0.5	0.49	0.37	0.44	0.53	0.53	0.415	0.41	0.41	0.29	0.385	0.375	0.42	0.376666667	0.518
GDP-PPP $int	0.67	0.42	0.67	0.73	0.62	0.93	0.69	0.4	0.67	0.315	0.7	0.335	0.8	0.42	0.776666667	0.363333333	0.654
GDP-PPP $Int	0.71	0.42	0.67	0.73	0.62	0.93	0.69	0.43	0.69	0.315	0.72	0.335	0.82	0.42	0.79	0.363333333	0.64
GDP-PPP/Cap 2011$	0.92	0.42	0.87	1	0.46	0.59	1	1	0.895	0.42	0.96	0.335	0.755	0.355	0.836666667	0.32	0.904
GDP-PPP/Cap 2011$	0.93	0.42	1	1	0.57	0.55	1	1	0.965	0.52	0.965	0.335	0.74	0.325	0.826666667	0.3	0.896
GDP-PPP/Cap Int$	0.93	0.42	1	1	0.57	0.51	1	1	0.965	0.52	0.965	0.335	0.72	0.33	0.813333333	0.303333333	0.918
GNE 2010US$	0.81	0.3	0.67	0.83	0.5	0.88	0.8	0.67	0.74	0.3	0.82	0.34	0.845	0.34	0.84	0.353333333	0.702
GNE LCU	0.53	0.19	0.49	0.49	0.27	0.36	0.52	0.53	0.51	0.2	0.51	0.22	0.445	0.2	0.46	0.216666667	0.514
GNE US$	0.66	0.42	0.69	0.85	0.38	0.77	0.77	0.62	0.675	0.4	0.755	0.335	0.715	0.425	0.76	0.366666667	0.696
GNI - LCU	0.56	0.33	0.43	0.42	0.35	0.34	0.52	0.44	0.495	0.27	0.49	0.29	0.45	0.285	0.44	0.273333333	0.514
GNI $US	0.79	0.62	0.69	0.85	0.44	0.93	0.77	0.62	0.74	0.45	0.82	0.5	0.86	0.62	0.856666667	0.54	0.748
GNI Atlas US$	0.78	0.67	0.69	0.85	0.41	0.93	0.8	0.62	0.735	0.475	0.815	0.46	0.855	0.675	0.853333333	0.533333333	0.732
GNI c2010 $US	0.74	0.88	0.71	0.86	0.44				0.725	0.58	0.8	0.565	0.74	0.88	0.8	0.565	0.728
GNI CLCU	0.46	0.42	0.53	0.47	0.32	0.34	0.56	0.41	0.495	0.36	0.465	0.335	0.4	0.35	0.423333333	0.316666667	0.46
GNI Growth %	0.51	0.33	0.5	0.67	0.4	0.33	0.62	0.34	0.505	0.27	0.59	0.21	0.42	0.325	0.503333333	0.246666667	0.46
GNI LCU	0.69	0.41	0.43	0.42	0.35	0.41	0.52	0.5	0.56	0.31	0.555	0.33	0.55	0.305	0.506666667	0.286666667	0.53
GNI per Capita $US	0.88	0.42	0.93	1	0.44	0.61	1	1	0.905	0.47	0.94	0.4	0.745	0.36	0.83	0.366666667	0.872
GNI per Capita $US	0.92	0.42	0.93	1	0.58	0.65	1	1	0.925	0.52	0.96	0.4	0.785	0.39	0.856666667	0.386666667	0.868
GNI per Capita %	0.51	0.28	0.37	0.33	0.21	0.51	0.47	0.34	0.44	0.265	0.42	0.24	0.51	0.33	0.45	0.286666667	0.41
GNI per Capita cLCU	0.34	0.28	0.41	0.53	0.32	0.43	0.56	0.53	0.375	0.45	0.435	0.33	0.385	0.345	0.433333333	0.356666667	0.382
GNI per Capita LCU	0.41	0.2	0.5	0.49	0.37	0.31	0.59	0.47	0.455	0.41	0.45	0.29	0.36	0.34	0.403333333	0.353333333	0.498
GNI per Capita PPP	0.88	0.34	1	1	0.57	0.51	1	1	0.94	0.48	0.94	0.295	0.695	0.285	0.796666667	0.273333333	0.902
GNI/Cap PPP 2017$	0.93	0.41	1	1	0.57	0.55	1	1	0.965	0.515	0.965	0.33	0.74	0.32	0.826666667	0.296666667	0.894
GNI-PPP	0.67	0.42	0.6	0.67	0.56	0.88	0.69	0.44	0.635	0.315	0.67	0.335	0.775	0.42	0.74	0.363333333	0.636
GNI-PPP	0.71	0.42	0.6	0.67	0.56	0.93	0.69	0.43	0.655	0.315	0.69	0.335	0.82	0.44	0.77	0.376666667	0.644
Gold Production	0.39	0	0.38	0.56	0.38	0.02	0.42	0.5	0.385	0	0.475	0	0.205	0	0.323333333	0	0.443333333
Goods Exports	0.71	0.62	0.8	0.81	0.56	1	0.85	0.69	0.755	0.5	0.76	0.435	0.855	0.63	0.84	0.503333333	0.736
Government Debt	0.5	0.25	0.39	0.31	0.31	0.33	0.33	0.41	0.445	0.27	0.405	0.205	0.415	0.175	0.38	0.17	0.306
Government Effectiveness	0.77	0.42	0.92	0.94	0.65	0.6	1	1	0.845	0.35	0.855	0.365	0.685	0.39	0.77	0.363333333	0.7375
Govmt Reg. Time	0.36	0	0.2	0.43	0.18	0.31	0.32	0.24	0.28	0	0.395	0	0.335	0	0.366666667	0	0.38
Govt consumption	0.88	0.3	0.71	0.83	0.47	0.88	0.8	0.67	0.795	0.36	0.855	0.34	0.88	0.36	0.863333333	0.366666667	0.766
Govt consumptn %GDP	0.51	0.28	0.56	0.61	0.37	0.43	0.46	0.57	0.535	0.515	0.56	0.265	0.47	0.32	0.516666667	0.296666667	0.53
Govt Consumptn cLCU	0.43	0.3	0.4	0.42	0.34	0.4	0.46	0.53	0.415	0.3	0.425	0.275	0.415	0.22	0.416666667	0.23	0.446
Govt Consumptn LCU	0.55	0.21	0.67	0.63	0.26	0.3	0.59	0.43	0.61	0.13	0.59	0.19	0.425	0.265	0.493333333	0.233333333	0.562
Govt consumptn US$	0.82	0.62	0.8	0.85	0.44	0.82	0.87	0.62	0.81	0.52	0.835	0.5	0.82	0.515	0.83	0.47	0.794
Govt. Spend on Families	0.5	0.43	0.62	0.38	0.63	0.45	0.25	0.38	0.56	0.465	0.44	0.285	0.475	0.365	0.443333333	0.29	0.44
Grade 1 Female	0.74	0.38	0.42	0.57	0.47	0.39	0.47	0.58	0.58	0.38	0.655	0.39	0.565	0.33	0.566666667	0.353333333	0.53
Grade 1 Intake All	0.61	0.38	0.53	0.64	0.34	0.39	0.5	0.58	0.57	0.355	0.625	0.39	0.5	0.33	0.546666667	0.353333333	0.5225
Grade 1 Male	0.42	0.38	0.4	0.53	0.4	0.39	0.43	0.5	0.41	0.355	0.475	0.39	0.405	0.33	0.446666667	0.353333333	0.395
Grade 5 % Female	0.71	0.15	0.75	0.83	0.41	0.48	0.86	0.67	0.73	0.21	0.77	0.085	0.595	0.165	0.673333333	0.116666667	0.738
Grants - Technical	0.41	0.18	0.27	0.39	0.21	0.7	0.49	0.6	0.34	0.09	0.4	0.09	0.555	0.34	0.5	0.226666667	0.342
Grants US$	0.7	0.4	0.49	0.6	0.29	0.62	0.56	0.7	0.595	0.2	0.65	0.2	0.66	0.46	0.64	0.306666667	0.534
Greenhouse emissions	0.39	0.28	0.38	0.43	0.5	0.44	0.38	0.48	0.385	0.255	0.41	0.265	0.415	0.235	0.42	0.24	0.434
Greenhouse emissions	0.4	0.17	0.68	0.67	0.47	0.58	0.67	0.43	0.54	0.285	0.535	0.21	0.49	0.21	0.55	0.223333333	0.5525
Greenhouse emissions	0.47	0.06	0.33	0.53	0.38	0.43	0.52	0.36	0.4	0.125	0.5	0.13	0.45	0.095	0.476666667	0.13	0.4525
Greenhouse emissions	0.72	0.55	0.47	0.52	0.31	0.82	0.52	0.38	0.595	0.38	0.62	0.43	0.77	0.585	0.686666667	0.493333333	0.564
Gross Saving US$	0.65	0.4	0.73	0.8	0.3	0.94	0.85	0.67	0.69	0.35	0.725	0.39	0.795	0.51	0.796666667	0.466666667	0.7
Gross Savings	0.8	0.5	0.53	0.34	0.38	0.59	0.69	0.36	0.665	0.56	0.57	0.375	0.695	0.425	0.576666667	0.366666667	0.504
Gross Savings %GDP	0.7	0.54	0.6	0.41	0.44	0.55	0.6	0.41	0.65	0.54	0.555	0.395	0.625	0.445	0.553333333	0.38	0.52
Gross Savings LCU	0.43	0.35	0.4	0.33	0.34	0.36	0.62	0.44	0.415	0.325	0.38	0.3	0.395	0.375	0.373333333	0.333333333	0.352
Gross Spending %GDP	1	0.89	0.82	0.68	0.41	0.41	0.71	0.65	0.91	0.655	0.84	0.49	0.705	0.665	0.696666667	0.473333333	0.678
Gross VA CLCU	0.46	0.32	0.46	0.46	0.3	0.28	0.57	0.53	0.46	0.265	0.46	0.285	0.37	0.33	0.4	0.303333333	0.484
Gross VA Cost US$	0.73	0.4	0.77	0.85	0.43	0.87	0.71	0.69	0.75	0.405	0.79	0.39	0.8	0.47	0.816666667	0.44	0.742
Gross Value Add US$	0.82	0.5	0.75	0.83	0.47	0.93	0.75	0.67	0.785	0.39	0.825	0.375	0.875	0.46	0.86	0.39	0.736
Gun Homicides	0.78	0.52	0.93	0.75	0.75	0.41	0.79	0.61	0.855	0.47	0.765	0.28	0.595	0.4	0.646666667	0.28	0.82
HDI Human Development	0.83	0.38	0.93	1	0.56	0.39	1	0.92	0.88	0.4	0.915	0.315	0.61	0.34	0.74	0.31	0.742
Health Spending %	0.48	0.28	0.71	0.67	0.33	0.36	0.57	0.4	0.595	0.28	0.575	0.265	0.42	0.29	0.503333333	0.276666667	0.585
HFC Emissions	0.65	0.5	0.62	0.56	0.46	0.65	0.6	0.66	0.635	0.46	0.605	0.365	0.65	0.44	0.62	0.37	0.61
High Income Imports	0.48	0.3	0.8	0.8	0.58	0.37	0.79	0.73	0.64	0.525	0.64	0.25	0.425	0.33	0.55	0.286666667	0.608
HIV	0.44	0	0.45	0.55	0.4	0.53	0.31	0.32	0.445	0	0.495	0	0.485	0	0.506666667	0	0.454
HIV ages 15-24	0.15	0	0.5	0.5	0.39	0.3	0.33	0.25	0.325	0	0.325	0	0.225	0	0.316666667	0	0.362
HIV per 1,000	0.24	0	0.53	0.59	0.41	0.25	0.38	0.3	0.385	0	0.415	0	0.245	0	0.36	0	0.442
Home Ownership	0.42	0.45	0.39	0.42	0.39	0.33	0.64	0.56	0.405	0.375	0.42	0.35	0.375	0.415	0.39	0.36	0.41
Home Price2Income	0.25	0.36	0.27	0.41	0.29	0.45	0.62	0.53	0.26	0.225	0.33	0.205	0.35	0.33	0.37	0.236666667	0.3025
Home Price2Rent	0.36	0.36	0.33	0.21	0.2	0.36	0.16	0.17	0.345	0.325	0.285	0.265	0.36	0.33	0.31	0.276666667	0.315
Homelessness	0.59	0.11	0.83	0.92	0.39	0.37	0.82	0.64	0.71	0.18	0.755	0.115	0.48	0.24	0.626666667	0.2	0.78
Homicide	0.69	0.56	0.76	0.88	0.47	0.49	0.94	0.8	0.725	0.54	0.785	0.43	0.59	0.475	0.686666667	0.416666667	0.708
Household	0.48	0.4	0.64	0.67	0.45	0.83	0.67	0.4	0.56	0.315	0.575	0.325	0.655	0.45	0.66	0.383333333	0.56
Household Consumptn	0.55	0.35	0.67	0.67	0.28	0.35	0.63	0.6	0.61	0.28	0.61	0.3	0.45	0.32	0.523333333	0.296666667	0.604
Household Consumptn	0.61	0.42	0.62	0.77	0.41	0.79	0.69	0.54	0.615	0.35	0.69	0.335	0.7	0.33	0.723333333	0.303333333	0.648
Household Consumptn	0.69	0.55	0.57	0.73	0.5	0.82	0.69	0.57	0.63	0.415	0.71	0.43	0.755	0.39	0.746666667	0.363333333	0.642
Household Debt	0.55	0.15	1	0.88	0.48	0.31	1	0.9	0.775	0.265	0.715	0.2	0.43	0.19	0.58	0.21	0.694
Household spend PPP	0.55	0.36	0.6	0.57	0.49	0.83	0.69	0.56	0.575	0.295	0.56	0.305	0.69	0.355	0.65	0.32	0.564
Household/Cap US$	0.88	0.45	0.92	1	0.48	0.62	1	1	0.9	0.375	0.94	0.34	0.75	0.46	0.833333333	0.383333333	0.856
Housing Bubbles	0.24	0.36	0.15	0.15	0.32	0.55	0.25	0.35	0.195	0.325	0.195	0.25	0.395	0.395	0.313333333	0.31	0.1725
Hsehld Consumption	0.48	0.32	0.43	0.36	0.32	0.39	0.31	0.44	0.455	0.265	0.42	0.285	0.435	0.25	0.41	0.25	0.436
Hsld Consumption	0.42	0.23	0.46	0.49	0.44	0.36	0.69	0.43	0.44	0.305	0.455	0.215	0.39	0.345	0.423333333	0.296666667	0.426
Human Capital Idx	0.81	0.31	0.93	0.93	0.57	0.46	1	0.92	0.87	0.365	0.87	0.19	0.635	0.305	0.733333333	0.226666667	0.89
Hydro Electricity	0.48	0.28	0.59	0.6	0.46	0.35	0.58	0.68	0.535	0.31	0.54	0.265	0.415	0.275	0.476666667	0.266666667	0.574
IBRD Loans Credits	0.19	0	0.25	0.31	0.2	0.5	0.38	0.25	0.22	0	0.25	0	0.345	0	0.333333333	0	0.36
IBRD PPG	0.29	0	0.45	0.46	0.25	0.44	0.22	0.21	0.37	0	0.375	0	0.365	0	0.396666667	0	0.426
ICT Goods Import %tot	0.59	0.41	0.6	0.63	0.19	0.55	0.69	0.5	0.595	0.295	0.61	0.32	0.57	0.42	0.59	0.356666667	0.59
IDA PPG	0.31	0	0.31	0.46	0.25	0.43	0.38	0.12	0.31	0	0.385	0	0.37	0	0.4	0	0.376
IMF Charges	0.35	0	0.33	0.5	0.25	0.47	0.38	0.22	0.34	0	0.425	0	0.41	0	0.44	0	0.452
IMF Credit	0.47	0	0.21	0.36	0.13	0.32	0.31	0.13	0.34	0	0.415	0	0.395	0	0.383333333	0	0.362
IMF Finance Index	0.84	0.4	0.83	0.92	0.54	0.55	1	0.92	0.835	0.4	0.88	0.39	0.695	0.34	0.77	0.353333333	0.694
Immigration	0.67	0.35	0.67	0.81	0.5	0.75	0.73	0.8	0.67	0.445	0.74	0.425	0.71	0.505	0.743333333	0.503333333	0.716666667
Immuniz 12-23	0.35	0.15	0.62	0.52	0.46	0.46	0.53	0.43	0.485	0.36	0.435	0.22	0.405	0.265	0.443333333	0.273333333	0.494
Import Cost $US	0.57	0.29	0.83	0.83	0.59	0.52	0.83	0.55	0.7	0.255	0.7	0.155	0.545	0.275	0.64	0.19	0.743333333
Import Cost Border	0.51	0.21	0.79	0.71	0.54	0.48	0.71	0.49	0.65	0.21	0.61	0.13	0.495	0.215	0.566666667	0.16	0.67
Import goods srvs pri income	0.88	0.62	0.8	0.85	0.44	0.93	0.85	0.77	0.84	0.5	0.865	0.435	0.905	0.56	0.886666667	0.456666667	0.778
Import Index	0.39	0.41	0.59	0.56	0.53	0.45	0.76	0.47	0.49	0.415	0.475	0.305	0.42	0.485	0.466666667	0.39	0.508
Import lead time	0.54	0	0.52	0.52	0.25	0.23	0.53	0.54	0.53	0	0.53	0	0.385	0.19	0.43	0.126666667	0.46
Import Time at Border (hrs)	0.73	0.39	0.85	0.75	0.6	0.71	0.85	0.65	0.79	0.195	0.74	0.195	0.72	0.39	0.73	0.26	0.776666667
Import Value	0.35	0.24	0.4	0.52	0.35	0.54	0.7	0.71	0.375	0.28	0.435	0.235	0.445	0.4	0.47	0.343333333	0.482
Imports %GDP	0.42	0.31	0.41	0.55	0.38	0.54	0.44	0.41	0.415	0.18	0.485	0.215	0.48	0.38	0.503333333	0.293333333	0.44
Imports %Growth	0.43	0.35	0.43	0.43	0.38	0.53	0.4	0.4	0.43	0.24	0.43	0.275	0.48	0.25	0.463333333	0.233333333	0.466
Imports 2010US$	0.88	0.5	0.73	0.83	0.5	0.83	0.85	0.69	0.805	0.4	0.855	0.375	0.855	0.54	0.846666667	0.443333333	0.804
Imports by Economy	0.41	0.42	0.4	0.26	0.44	0.36	0.34	0.31	0.405	0.4	0.335	0.335	0.385	0.48	0.343333333	0.403333333	0.366
Imports C-LCU	0.53	0.67	0.34	0.53	0.34	0.25	0.4	0.53	0.435	0.545	0.53	0.46	0.39	0.6	0.436666667	0.483333333	0.508
Imports Goods	0.88	0.5	0.73	0.85	0.5	0.93	0.85	0.69	0.805	0.4	0.865	0.375	0.905	0.425	0.886666667	0.366666667	0.764
Imports Goods Serv	0.88	0.5	0.87	0.87	0.5	0.93	0.85	0.69	0.875	0.44	0.875	0.375	0.905	0.46	0.893333333	0.39	0.796
Imports LCU	0.42	0.45	0.37	0.63	0.29	0.41	0.62	0.47	0.395	0.4	0.525	0.35	0.415	0.405	0.486666667	0.353333333	0.41
Imports low-mid in Region	0.34	0	0.29	0.21	0.27	0.5	0.2	0.13	0.315	0	0.275	0	0.42	0	0.35	0	0.29
Imports Low-Mid Mid East	0.56	0.32	0.65	0.46	0.41	0.56	0.62	0.31	0.605	0.31	0.51	0.285	0.56	0.41	0.526666667	0.356666667	0.528
Imports Low-Mid S. Aftrica	0.55	0.53	0.62	0.62	0.41	0.43	0.69	0.5	0.585	0.355	0.585	0.365	0.49	0.505	0.533333333	0.403333333	0.564
Imports Low-Mid S.Asia	0.69	0.33	0.6	0.57	0.44	0.43	0.51	0.52	0.645	0.29	0.63	0.29	0.56	0.245	0.563333333	0.246666667	0.67
Imports Low-Mid-Inc Asia	0.42	0.25	0.58	0.52	0.38	0.56	0.53	0.53	0.5	0.285	0.47	0.315	0.49	0.32	0.5	0.34	0.518
Imports Low-Mid-Inc Europe	0.59	0.41	0.56	0.5	0.51	0.5	0.46	0.42	0.575	0.32	0.545	0.305	0.545	0.515	0.53	0.41	0.488
Imports Low-Mid-Inc Latin	0.28	0.56	0.62	0.69	0.35	0.41	0.59	0.47	0.45	0.49	0.485	0.405	0.345	0.515	0.46	0.426666667	0.466
Imports Merch	0.61	0.29	0.59	0.49	0.41	0.25	0.52	0.34	0.6	0.445	0.55	0.245	0.43	0.325	0.45	0.283333333	0.516
Imports Merch US$	0.93	0.53	0.69	0.85	0.5	0.93	0.85	0.62	0.81	0.405	0.89	0.39	0.93	0.515	0.903333333	0.426666667	0.784
Imports Service	0.82	0.42	0.93	0.93	0.32	0.95	0.92	0.73	0.875	0.4	0.875	0.335	0.885	0.52	0.9	0.43	0.846
Imports US$	0.87	0.88	0.8	0.87	0.56	0.92	0.85	0.69	0.835	0.59	0.87	0.565	0.895	0.69	0.886666667	0.543333333	0.81
Incarceration Rates	0.51	0.6	0.43	0.52	0.53	0.39	0.4	0.29	0.47	0.55	0.515	0.425	0.45	0.565	0.473333333	0.46	0.4875
Income	0.63	0.62	0.92	0.82	1	0.36	0.91	0.6	0.775	0.62	0.725	0.435	0.495	0.41	0.603333333	0.356666667	0.632
Income % Growth	0.47	0.26	0.43	0.4	0.43	0.49	0.62	0.47	0.45	0.245	0.435	0.23	0.48	0.355	0.453333333	0.303333333	0.472
Income 4th 20%	0.58	0.44	0.88	0.94	0.5	0.43	0.73	0.55	0.73	0.34	0.76	0.355	0.505	0.32	0.65	0.303333333	0.7
Income Equality GINI	0.51	0.58	0.8	0.74	0.9	0.33	0.71	0.5	0.655	0.6	0.625	0.415	0.42	0.39	0.526666667	0.343333333	0.628
Income High 20%	0.51	0.5	0.88	0.8	0.9	0.33	0.65	0.6	0.695	0.625	0.655	0.44	0.42	0.35	0.546666667	0.36	0.666
Income Low 10%	0.36	0	0.86	0.43	1	0.34	0.49	0.38	0.61	0	0.395	0	0.35	0.145	0.376666667	0.096666667	0.574
Income Lowest 20%	0.49	0	0.91	0.67	1	0.33	0.6	0.5	0.7	0	0.58	0	0.41	0.145	0.496666667	0.096666667	0.622
Income Lowest 40%	0.51	0.5	0.92	0.76	1	0.36	0.69	0.43	0.715	0.625	0.635	0.375	0.435	0.35	0.543333333	0.316666667	0.658
Income of 3rd 20%	0.53	0.5	0.89	1	0.78	0.33	0.8	0.58	0.71	0.585	0.765	0.44	0.43	0.35	0.62	0.36	0.632
Income Paymts	0.76	0.61	0.77	0.85	0.34	0.77	0.92	0.85	0.765	0.495	0.805	0.495	0.765	0.57	0.793333333	0.506666667	0.74
Income per Capita	0.85	0.53	0.93	1	0.48	0.57	1	1	0.89	0.535	0.925	0.455	0.71	0.445	0.806666667	0.423333333	0.86
Income per Capita	0.93	0.39	0.93	1	0.64	0.52	1	1	0.93	0.405	0.965	0.32	0.725	0.34	0.816666667	0.31	0.908
Income Taxes %rev	0.57	0.2	0.47	0.45	0.49	0.37	0.48	0.52	0.52	0.135	0.51	0.19	0.47	0.29	0.463333333	0.253333333	0.506
Income Taxes %tax	0.5	0.36	0.51	0.68	0.22	0.44	0.56	0.51	0.505	0.36	0.59	0.315	0.47	0.33	0.54	0.31	0.544
Income Taxes LCU	0.42	0.27	0.6	0.35	0.27	0.44	0.42	0.67	0.51	0.34	0.385	0.26	0.43	0.235	0.403333333	0.24	0.432
Income Top-10%	0.57	0.56	0.94	0.87	0.9	0.33	0.76	0.6	0.755	0.545	0.72	0.405	0.45	0.38	0.59	0.336666667	0.672
Income under 50%	0.53	0.47	0.49	0.48	0.8	0.26	0.56	0.31	0.51	0.52	0.505	0.36	0.395	0.37	0.423333333	0.33	0.536
Income/Cap Growth	0.43	0.38	0.5	0.48	0.34	0.72	0.5	0.4	0.465	0.215	0.455	0.25	0.575	0.415	0.543333333	0.316666667	0.448
Income/Capita	0.82	0.53	1	0.88	0.48	0.59	1	1	0.91	0.575	0.85	0.39	0.705	0.365	0.763333333	0.326666667	0.9
Industry %GDP	0.73	0.58	0.25	0.42	0.28	0.37	0.36	0.48	0.49	0.405	0.575	0.375	0.55	0.525	0.506666667	0.406666667	0.464
Industry c2010 US$	0.81	0.32	0.67	0.87	0.5	0.93	0.8	0.67	0.74	0.32	0.84	0.285	0.87	0.35	0.87	0.316666667	0.726
Industry US$	0.79	0.42	0.62	0.87	0.34	1	0.77	0.6	0.705	0.35	0.83	0.335	0.895	0.585	0.886666667	0.473333333	0.708
Infant Deaths	0.55	0.42	0.7	0.74	0.41	0.84	0.6	0.8	0.625	0.315	0.645	0.325	0.695	0.335	0.71	0.3	0.58
Infant Deaths	0.71	0.36	0.9	0.9	0.6	0.57	0.9	0.9	0.805	0.415	0.805	0.285	0.64	0.33	0.726666667	0.29	0.774
Inflation %	0.32	0.37	0.69	0.67	0.44	0.41	0.62	0.56	0.505	0.395	0.495	0.335	0.365	0.29	0.466666667	0.293333333	0.518
Inflation GDP deflator %	0.49	0.46	0.47	0.51	0.19	0.45	0.47	0.6	0.48	0.44	0.5	0.29	0.47	0.395	0.483333333	0.303333333	0.5
Inflation, GDP deflator	0.36	0.34	0.47	0.51	0.21	0.37	0.46	0.5	0.415	0.38	0.435	0.23	0.365	0.335	0.413333333	0.263333333	0.478
Informal	0.33	0	0.36	0.39	0.32	0.31	0.38	0.18	0.345	0	0.36	0	0.32	0	0.343333333	0	0.315
Inheritance Tax	0.22	0.31	0.07	0.12	0.2	0.3	0.16	0.31	0.145	0.185	0.17	0.225	0.26	0.31	0.213333333	0.253333333	0.136666667
Injury Deaths %	0.6	0.28	0.82	0.75	0.47	0.41	0.82	0.59	0.71	0.285	0.675	0.175	0.505	0.285	0.586666667	0.213333333	0.723333333
Innovation Index	0.72	0.27	0.78	0.82	0.54	0.49	1	0.9	0.75	0.385	0.77	0.235	0.605	0.28	0.676666667	0.253333333	0.773333333
Insur & Finl Srvc %ServImp	0.33	0.33	0.37	0.4	0.35	0.34	0.4	0.38	0.35	0.27	0.365	0.25	0.335	0.4	0.356666667	0.323333333	0.328
Insurance %	0.39	0.11	0.4	0.48	0.27	0.39	0.5	0.37	0.395	0.065	0.435	0.06	0.39	0.245	0.42	0.166666667	0.435
Insurance Financial	0.23	0.22	0.37	0.47	0.28	0.24	0.34	0.28	0.3	0.215	0.35	0.195	0.235	0.345	0.313333333	0.286666667	0.332
Int Paymts % Expse	0.35	0.41	0.67	0.65	0.44	0.4	0.43	0.46	0.51	0.38	0.5	0.315	0.375	0.305	0.466666667	0.276666667	0.538
Int Paymts % Rev	0.36	0.41	0.6	0.59	0.44	0.4	0.56	0.43	0.48	0.38	0.475	0.315	0.38	0.305	0.45	0.276666667	0.472
Interest	0.15	0	0.14	0.2	0.07	0.15	0.12	0.04	0.145	0	0.175	0	0.15	0	0.166666667	0	0.128
Interest Ext. Debt	0.21	0	0.25	0.22	0.27	0.43	0.38	0.12	0.23	0	0.215	0	0.32	0	0.286666667	0	0.312
Interest on Ext. Debt	0.38	0	0.44	0.44	0.38	0.36	0.62	0.44	0.41	0	0.41	0	0.37	0	0.393333333	0	0.444
Interest Payments	0.44	0.26	0.54	0.6	0.27	0.5	0.39	0.6	0.49	0.32	0.52	0.32	0.47	0.25	0.513333333	0.293333333	0.554
Interest Rate	0.47	0.11	0.75	0.81	0.23	0.4	0.56	0.56	0.61	0.055	0.64	0.055	0.435	0.16	0.56	0.106666667	0.57
Interest rate diff	0.48	0.18	0.6	0.8	0.33	0.39	0.53	0.47	0.54	0.09	0.64	0.09	0.435	0.23	0.556666667	0.153333333	0.542
Internet Access %	0.92	0.88	0.92	1	0.44	0.48	1	0.93	0.92	0.64	0.96	0.565	0.7	0.65	0.8	0.516666667	0.844
Inventory Changes	0.34	0.26	0.38	0.59	0.32	0.41	0.4	0.47	0.36	0.19	0.465	0.255	0.375	0.185	0.446666667	0.206666667	0.404
IP Charges	0.87	0.3	0.85	0.92	0.42	0.86	1	0.91	0.86	0.3	0.895	0.275	0.865	0.295	0.883333333	0.28	0.824
IP Receipts	0.79	0.62	0.92	0.86	0.51	0.87	1	1	0.855	0.5	0.825	0.435	0.83	0.62	0.84	0.496666667	0.808
Labor Contribution	0.63	0.3	0.77	0.75	0.3	0.51	0.69	0.5	0.7	0.265	0.69	0.235	0.57	0.36	0.63	0.296666667	0.72
Labor Part M:F Rate	0.44	0.5	0.67	0.55	0.44	0.58	0.57	0.67	0.555	0.44	0.495	0.365	0.51	0.46	0.523333333	0.383333333	0.528
Labor Participation	0.38	0.5	0.54	0.54	0.35	0.39	0.55	0.38	0.46	0.345	0.46	0.335	0.385	0.41	0.436666667	0.33	0.548
Labor Participation	0.48	0.35	0.56	0.44	0.35	0.55	0.46	0.46	0.52	0.325	0.46	0.29	0.515	0.385	0.49	0.333333333	0.454
Labour Participation	0.45	0.23	0.5	0.62	0.33	0.39	0.69	0.5	0.475	0.23	0.535	0.24	0.42	0.275	0.486666667	0.266666667	0.528
Labour Participation Jobs	0.67	0.35	0.41	0.35	0.21	0.57	0.41	0.44	0.54	0.315	0.51	0.33	0.62	0.365	0.53	0.346666667	0.442
Labour Utilization	0.52	0.39	0.4	0.28	0.75	0.3	0.23	0.16	0.46	0.385	0.4	0.295	0.41	0.3	0.366666667	0.266666667	0.442
Land < 5m	0.37	0.45	0.37	0.38	0.34	0.4	0.27	0.45	0.37	0.345	0.375	0.36	0.385	0.37	0.383333333	0.336666667	0.373333333
Land Area	0.61	0.35	0.5	0.69	0.25	0.35	0.47	0.6	0.555	0.27	0.65	0.26	0.48	0.34	0.55	0.283333333	0.556
Legal Right Strength	0.71	0.26	0.94	0.81	0.4	0.36	0.77	0.62	0.825	0.2	0.76	0.165	0.535	0.28	0.626666667	0.21	0.82
Lending Banks	0.55	0	0.3	0.3	0.21	0.55	0.27	0.15	0.425	0	0.425	0	0.55	0	0.466666667	0	0.454
Lending Int Rate%	0.74	0.21	1	0.93	0.35	0.43	0.88	0.78	0.87	0.105	0.835	0.105	0.585	0.255	0.7	0.17	0.754
Lg Asset Investment	0.36	0.15	0.36	0.59	0.33	0.35	0.42	0.59	0.36	0.18	0.475	0.265	0.355	0.255	0.433333333	0.296666667	0.382
Life Expectancy Female	0.86	0.58	0.9	0.9	0.5	0.62	1	0.91	0.88	0.49	0.88	0.375	0.74	0.54	0.793333333	0.416666667	0.802
Life Expectancy Male	0.88	0.5	0.92	0.93	0.44	0.49	1	1	0.9	0.395	0.905	0.44	0.685	0.5	0.766666667	0.46	0.78
Listed Companies	0.5	0.21	0.48	0.66	0.32	0.42	0.66	0.58	0.49	0.13	0.58	0.23	0.46	0.285	0.526666667	0.273333333	0.492
Literacy	0.55	0.28	0.6	0.67	0.38	0.33	0.6	0.33	0.575	0.14	0.61	0.14	0.44	0.29	0.516666667	0.193333333	0.59
Literacy	0.56	0.08	0.55	0.73	0.38	0.37	0.47	0.53	0.555	0.04	0.645	0.04	0.465	0.19	0.553333333	0.126666667	0.59
Literacy	0.59	0.18	0.56	0.62	0.19	0.44	0.53	0.38	0.575	0.09	0.605	0.09	0.515	0.24	0.55	0.16	0.565
Literacy Adults	0.59	0.08	0.67	0.73	0.38	0.34	0.44	0.4	0.63	0.04	0.66	0.04	0.465	0.19	0.553333333	0.126666667	0.67
Literacy Female 15-24	0.65	0.13	0.58	0.53	0.31	0.33	0.53	0.5	0.615	0.065	0.59	0.065	0.49	0.17	0.503333333	0.113333333	0.59
Literacy Male >15	0.5	0.18	0.64	0.79	0.38	0.33	0.47	0.4	0.57	0.09	0.645	0.09	0.415	0.24	0.54	0.16	0.6375
Literacy Male 15-24	0.75	0.11	0.5	0.71	0.38	0.33	0.53	0.42	0.625	0.055	0.73	0.055	0.54	0.16	0.596666667	0.106666667	0.61
Livestock Index	0.62	0.38	0.53	0.35	0.35	0.43	0.53	0.47	0.575	0.295	0.485	0.275	0.525	0.405	0.466666667	0.326666667	0.518
Logistics Index	0.7	0.45	0.92	0.88	0.48	0.47	0.95	1	0.81	0.435	0.79	0.415	0.585	0.415	0.683333333	0.403333333	0.7425
Logistics Index	0.81	0.45	0.85	0.92	0.38	0.47	1	0.92	0.83	0.425	0.865	0.415	0.64	0.415	0.733333333	0.403333333	0.75
Logistics Index	0.81	0.36	0.83	0.93	0.5	0.47	1	0.92	0.82	0.285	0.87	0.37	0.64	0.37	0.736666667	0.373333333	0.755
Logistics Index	0.85	0.36	0.83	0.93	0.52	0.47	1	0.92	0.84	0.32	0.89	0.37	0.66	0.37	0.75	0.373333333	0.73
Logistics Index	0.88	0.33	0.83	0.92	0.38	0.53	0.94	0.79	0.855	0.28	0.9	0.355	0.705	0.355	0.776666667	0.363333333	0.8125
Logistics Index	0.92	0.24	0.83	0.93	0.52	0.53	1	0.92	0.875	0.235	0.925	0.205	0.725	0.31	0.793333333	0.263333333	0.785
Logistics Index	0.93	0.27	0.92	1	0.31	0.47	1	1	0.925	0.325	0.965	0.325	0.7	0.325	0.8	0.343333333	0.8175
Longevity	0.88	0.58	0.92	0.93	0.44	0.55	1	0.92	0.9	0.44	0.905	0.48	0.715	0.54	0.786666667	0.486666667	0.776
Loss to Electric Outage	0.37	0	0.4	0.5	0.44	0.41	0.5	0.33	0.385	0	0.435	0	0.39	0	0.426666667	0	0.4125
Lower Sec. Female	0.71	0.28	0.86	0.8	0.58	0.59	0.75	0.64	0.785	0.34	0.755	0.225	0.65	0.33	0.7	0.276666667	0.685
Lowest-40% Incomes	0.91	0.75	0.91	1	0.8	0.57	1	1	0.91	0.7	0.955	0.565	0.74	0.475	0.826666667	0.443333333	0.94
Machinery Transport	0.56	0.36	0.86	0.86	0.52	0.68	0.93	0.68	0.71	0.39	0.71	0.305	0.62	0.37	0.7	0.33	0.624
Malaria	0.42	0	0.27	0.4	0.29	0.33	0.43	0.25	0.345	0	0.41	0	0.375	0	0.383333333	0	0.35
Malaria Fever Drug Use	0.36	0	0.12	0.17	0.25	0.43	0.25	0	0.24	0	0.265	0	0.395	0	0.32	0	0.216666667
Mammals Threatened	0.42	0.32	0.67	0.66	0.47	0.49	0.64	0.57	0.545	0.36	0.54	0.285	0.455	0.42	0.523333333	0.363333333	0.583333333
Manu Exports	0.67	0.3	0.73	0.61	0.37	0.48	0.57	0.48	0.7	0.29	0.64	0.265	0.575	0.365	0.586666667	0.32	0.584
Manuf %GDP	0.79	0.58	0.57	0.63	0.31	0.56	0.67	0.39	0.68	0.52	0.71	0.405	0.675	0.47	0.66	0.39	0.538
Manuf CLCU	0.43	0.3	0.41	0.33	0.32	0.54	0.56	0.53	0.42	0.3	0.38	0.275	0.485	0.29	0.433333333	0.276666667	0.386
Manufactg Imports	0.8	0.36	0.52	0.63	0.31	0.45	0.69	0.54	0.66	0.37	0.715	0.305	0.625	0.395	0.626666667	0.346666667	0.604
Manufacturing	0.82	0.4	0.86	0.8	0.41	0.94	0.86	0.67	0.84	0.35	0.81	0.325	0.88	0.39	0.853333333	0.343333333	0.758
Manufacturing Grth%	0.49	0.19	0.43	0.36	0.31	0.4	0.56	0.56	0.46	0.235	0.425	0.18	0.445	0.255	0.416666667	0.226666667	0.4
Manufacturing US$	0.82	0.5	0.73	0.74	0.38	0.93	0.87	0.67	0.775	0.4	0.78	0.375	0.875	0.535	0.83	0.44	0.698
Marine Protected	0.42	0.32	0.5	0.68	0.26	0.26	0.77	0.62	0.46	0.35	0.55	0.31	0.34	0.32	0.453333333	0.313333333	0.533333333
Market Cap %GDP	0.34	0.19	0.44	0.49	0.41	0.45	0.66	0.78	0.39	0.185	0.415	0.155	0.395	0.195	0.426666667	0.17	0.446
Market Cap US$	0.49	0.28	0.44	0.53	0.34	0.61	0.76	0.68	0.465	0.215	0.51	0.2	0.55	0.21	0.543333333	0.18	0.474
Marriage Rate	0.32	0.28	0.42	0.32	0.63	0.38	0.4	0.37	0.37	0.355	0.32	0.285	0.35	0.28	0.34	0.283333333	0.336
Maternal Death	0.75	0.43	0.92	1	0.69	0.64	0.94	0.8	0.835	0.5	0.875	0.36	0.695	0.335	0.796666667	0.32	0.79
Maternal Death %	0.82	0.28	0.88	1	0.71	0.57	0.94	0.82	0.85	0.39	0.91	0.265	0.695	0.245	0.796666667	0.246666667	0.835
Maternal Death Lifetime	0.76	0.24	0.86	1	0.6	0.71	0.92	0.85	0.81	0.39	0.88	0.245	0.735	0.33	0.823333333	0.303333333	0.84
Maternal Death Ratio	0.72	0.36	0.85	1	0.54	0.54	0.92	0.85	0.785	0.43	0.86	0.315	0.63	0.325	0.753333333	0.306666667	0.8375
Maternal Deaths	0.62	0.42	0.85	0.84	0.44	0.82	0.56	0.8	0.735	0.26	0.73	0.3	0.72	0.485	0.76	0.383333333	0.74
Mean Wealth US$	1	0.08	0.93	0.93	0.67	0.8	1	1	0.965	0.35	0.965	0.23	0.9	0.25	0.91	0.293333333	0.953333333
Merchandise exports$	0.86	0.54	0.77	0.79	0.44	1	0.85	0.62	0.815	0.41	0.825	0.395	0.93	0.645	0.883333333	0.513333333	0.782
Methane Emissions	0.52	0.42	0.55	0.55	0.28	0.77	0.46	0.56	0.535	0.35	0.535	0.335	0.645	0.46	0.613333333	0.39	0.536
Methane Emissions	0.62	0.56	0.63	0.41	0.35	0.56	0.31	0.4	0.625	0.44	0.515	0.405	0.59	0.575	0.53	0.466666667	0.575
Migrant Stock %	0.67	0.34	0.67	0.74	0.44	0.37	0.85	0.85	0.67	0.24	0.705	0.205	0.52	0.345	0.593333333	0.253333333	0.702
Migrant Workers	0.65	0.62	0.77	0.77	0.21	0.57	0.77	0.77	0.71	0.415	0.71	0.435	0.61	0.505	0.663333333	0.42	0.73
Migration per Pop	0.75	0.66	0.77	0.8	0.5	0.76	1	0.85	0.76	0.64	0.775	0.58	0.755	0.565	0.77	0.543333333	0.686
Military %GDP	0.43	0.33	0.35	0.39	0.38	0.35	0.41	0.51	0.39	0.415	0.41	0.29	0.39	0.31	0.39	0.29	0.432
Military %Gov Spending	0.63	0.55	0.49	0.42	0.44	0.36	0.55	0.59	0.56	0.575	0.525	0.425	0.495	0.375	0.47	0.35	0.49
Military Spending LCU	0.44	0.29	0.4	0.4	0.33	0.35	0.46	0.4	0.42	0.21	0.42	0.23	0.395	0.235	0.396666667	0.213333333	0.39
Mineral %GDP	0.54	0.38	0.62	0.61	0.38	0.73	0.61	0.54	0.58	0.47	0.575	0.3	0.635	0.38	0.626666667	0.326666667	0.532
Mineral Depletion	0.48	0.32	0.37	0.69	0.46	0.61	0.46	0.35	0.425	0.275	0.585	0.25	0.545	0.32	0.593333333	0.273333333	0.452
Mineral Depltn	0.54	0.23	0.69	0.69	0.36	0.55	0.69	0.46	0.615	0.395	0.615	0.225	0.545	0.305	0.593333333	0.276666667	0.582
Mortality	0.71	0.28	0.88	0.88	0.5	0.47	0.92	1	0.795	0.45	0.795	0.265	0.59	0.29	0.686666667	0.276666667	0.823333333
Mortality	0.85	0.3	0.9	0.94	0.53	0.52	1	0.9	0.875	0.36	0.895	0.3	0.685	0.405	0.77	0.37	0.756
Mortality <5	0.73	0.38	0.9	0.9	0.6	0.57	0.9	0.9	0.815	0.425	0.815	0.29	0.65	0.38	0.733333333	0.32	0.786
Mortality <5 Female	0.76	0.3	0.9	0.9	0.6	0.48	0.9	0.9	0.83	0.355	0.83	0.265	0.62	0.34	0.713333333	0.303333333	0.772
Mortality Infant Female	0.72	0.36	0.9	0.9	0.6	0.47	0.9	0.9	0.81	0.405	0.81	0.205	0.595	0.37	0.696666667	0.263333333	0.778
Mortality Infant Male	0.71	0.45	0.91	0.94	0.64	0.57	0.9	0.91	0.81	0.475	0.825	0.31	0.64	0.33	0.74	0.276666667	0.853333333
Mortality Male	0.85	0.46	0.9	0.94	0.5	0.43	1	1	0.875	0.44	0.895	0.38	0.64	0.485	0.74	0.423333333	0.68
Mortgage Rates	0.65	0.36	0.77	0.81	0.54	0.52	0.91	0.86	0.71	0.305	0.73	0.2	0.585	0.31	0.66	0.22	0.743333333
Muslim Religion	0.45	0.31	0.59	0.65	0.29	0.27	0.52	0.44	0.52	0.365	0.55	0.345	0.36	0.285	0.456666667	0.316666667	0.563333333
Nat Rsrc Depletion	0.65	0.37	0.53	0.64	0.41	0.41	0.7	0.65	0.59	0.3	0.645	0.31	0.53	0.285	0.566666667	0.273333333	0.566
National Income	0.77	0.5	0.67	0.83	0.5	0.87	0.87	0.67	0.72	0.45	0.8	0.44	0.82	0.515	0.823333333	0.47	0.716
National Income US$	0.81	0.44	0.69	0.85	0.47	0.93	0.8	0.62	0.75	0.36	0.83	0.345	0.87	0.425	0.863333333	0.366666667	0.742
National Reserves $	0.53	0.08	0.67	0.75	0.44	0.82	0.86	0.6	0.6	0.145	0.64	0.165	0.675	0.29	0.7	0.276666667	0.63
National Reserves %	0.33	0	0.2	0.23	0.36	0.47	0.4	0.09	0.265	0	0.28	0	0.4	0	0.343333333	0	0.288
National Savings $	0.65	0.54	0.67	0.61	0.28	0.94	0.87	0.67	0.66	0.52	0.63	0.46	0.795	0.52	0.733333333	0.473333333	0.628
National Savings %	0.52	0.54	0.62	0.59	0.38	0.47	0.5	0.44	0.57	0.54	0.555	0.46	0.495	0.445	0.526666667	0.423333333	0.492
Natural Gas	0.57	0.33	0.6	0.62	0.34	0.63	0.59	0.46	0.585	0.33	0.595	0.345	0.6	0.355	0.606666667	0.356666667	0.566
Natural Gas Electricity	0.59	0.38	0.63	0.68	0.5	0.59	0.55	0.71	0.61	0.35	0.635	0.34	0.59	0.395	0.62	0.363333333	0.628
Natural Resources	0.62	0.41	0.63	0.68	0.41	0.56	0.7	0.74	0.625	0.295	0.65	0.25	0.59	0.37	0.62	0.276666667	0.582
NeoNatal Deaths	0.42	0.42	0.7	0.74	0.47	0.68	0.6	0.8	0.56	0.235	0.58	0.335	0.55	0.39	0.613333333	0.343333333	0.59
Neonatal Deaths	0.83	0.36	0.92	0.92	0.67	0.57	0.91	0.83	0.875	0.39	0.875	0.295	0.7	0.33	0.773333333	0.296666667	0.79
Net Capital BoP	0.62	0.4	0.63	0.67	0.47	0.68	0.65	0.64	0.625	0.36	0.645	0.3	0.65	0.365	0.656666667	0.31	0.552
Net Financial Assets	0.47	0.27	0.46	0.29	0.32	0.48	0.26	0.31	0.465	0.25	0.38	0.155	0.475	0.315	0.413333333	0.223333333	0.456
Net Liabilities	0.15	0.16	0.41	0.44	0.17	0.28	0.32	0.46	0.28	0.09	0.295	0.115	0.215	0.185	0.29	0.146666667	0.29
Net Worth	0.05	0.12	0.28	0.25	0.2	0.28	0.25	0.4	0.165	0.2	0.15	0.185	0.165	0.2	0.193333333	0.216666667	0.2025
New Business Density	0.75	0.36	0.64	0.75	0.54	0.57	0.67	0.6	0.695	0.22	0.75	0.225	0.66	0.255	0.69	0.2	0.655
New Businesses	0.69	0.38	0.61	0.64	0.56	0.73	0.67	0.53	0.65	0.265	0.665	0.315	0.71	0.37	0.686666667	0.33	0.59
NO Emission Energy	0.41	0.67	0.54	0.5	0.38	0.75	0.56	0.32	0.475	0.475	0.455	0.46	0.58	0.62	0.553333333	0.496666667	0.438
NO Emission Energy	0.76	0.62	0.69	0.67	0.43	0.38	0.69	0.8	0.725	0.51	0.715	0.5	0.57	0.6	0.603333333	0.526666667	0.646
NO Emissions	0.37	0.41	0.38	0.37	0.29	0.5	0.4	0.32	0.375	0.385	0.37	0.36	0.435	0.34	0.413333333	0.33	0.456
NO Emissions Agri	0.33	0.35	0.38	0.34	0.41	0.5	0.4	0.41	0.355	0.28	0.335	0.29	0.415	0.335	0.39	0.3	0.374
NO Emissions Agri	0.54	0.47	0.46	0.55	0.35	0.43	0.59	0.53	0.5	0.3	0.545	0.335	0.485	0.475	0.506666667	0.383333333	0.496
NO Emissions Chg	0.56	0.42	0.59	0.42	0.47	0.45	0.55	0.41	0.575	0.42	0.49	0.31	0.505	0.405	0.476666667	0.336666667	0.515
Nom Housing Prices	0.29	0.23	0.17	0.24	0.12	0.53	0.19	0.19	0.23	0.28	0.265	0.225	0.41	0.305	0.353333333	0.276666667	0.18
Nuclear Electricity	0.33	0.21	0.6	0.37	0.57	0.31	0.46	0.36	0.465	0.28	0.35	0.2	0.32	0.325	0.336666667	0.28	0.35
Nuclear Energy	0.49	0.64	0.68	0.68	0.58	0.49	0.6	0.66	0.585	0.55	0.585	0.435	0.49	0.395	0.553333333	0.34	0.526
Nurses	0.86	0.16	0.85	1	0.57	0.61	1	0.85	0.855	0.35	0.93	0.205	0.735	0.16	0.823333333	0.19	0.698
ODA % Cap Formtn	0.9	0	0.5	0.75	0.2	0.7	0.62	0.47	0.7	0	0.825	0	0.8	0	0.783333333	0	0.608
ODA Received %GNI	0.9	0	0.5	0.75	0.2	0.8	0.56	0.44	0.7	0	0.825	0	0.85	0	0.816666667	0	0.612
ODA Received %Import	0.9	0	0.5	0.62	0.47	0.7	0.62	0.56	0.7	0	0.76	0	0.8	0	0.74	0	0.624
Oil Electricity	0.46	0.38	0.57	0.53	0.36	0.44	0.55	0.43	0.515	0.38	0.495	0.25	0.45	0.38	0.476666667	0.293333333	0.474
Oil Rents %GDP	0.56	0.44	0.41	0.53	0.55	0.63	0.63	0.45	0.485	0.35	0.545	0.375	0.595	0.405	0.573333333	0.373333333	0.494
Oil, Gas, Coal Electricity	0.4	0.24	0.26	0.33	0.36	0.32	0.57	0.63	0.33	0.225	0.365	0.155	0.36	0.265	0.35	0.2	0.388
Op License Time	0.32	0	0.31	0.37	0.33	0.43	0.36	0.19	0.315	0	0.345	0	0.375	0	0.373333333	0	0.4175
Ores & Metal Export	0.5	0.12	0.61	0.54	0.35	0.68	0.63	0.48	0.555	0.165	0.52	0.185	0.59	0.295	0.573333333	0.28	0.512
Ores Metal Imports	0.49	0.62	0.75	0.7	0.53	0.45	0.56	0.37	0.62	0.56	0.595	0.5	0.47	0.585	0.546666667	0.516666667	0.532
Other - % Expense	0.5	0.18	0.42	0.53	0.4	0.46	0.42	0.5	0.46	0.195	0.515	0.2	0.48	0.295	0.496666667	0.27	0.43
Other Manuftg	0.68	0.42	0.62	0.69	0.48	0.55	0.73	0.58	0.65	0.37	0.685	0.335	0.615	0.4	0.64	0.35	0.576
Palma Ratio	0.5	0.33	1	0.6	1	0.4	0.6	0.79	0.75	0.33	0.55	0.25	0.45	0.315	0.5	0.266666667	0.575
Patent Applications	0.56	0.4	0.79	0.75	0.47	0.69	0.83	0.52	0.675	0.39	0.655	0.315	0.625	0.275	0.666666667	0.26	0.596
Patent Apps NRs	0.63	0.3	0.6	0.62	0.38	0.69	0.69	0.52	0.615	0.24	0.625	0.235	0.66	0.2	0.646666667	0.19	0.558
Pensions Index	0.5	0	0.63	0.52	0.62	0.75	0.5	0.88	0.565	0	0.51	0	0.625	0	0.59	0	0.55
Persistence	0.76	0.15	0.83	0.74	0.4	0.45	0.92	0.77	0.795	0.21	0.75	0.12	0.605	0.115	0.65	0.106666667	0.712
Personal Freedom Idx	0.76	0.42	0.93	0.93	0.61	0.45	0.93	1	0.845	0.4	0.845	0.285	0.605	0.4	0.713333333	0.316666667	0.873333333
Personal Remittance	0.39	0.21	0.5	0.54	0.41	0.48	0.5	0.37	0.445	0.295	0.465	0.23	0.435	0.365	0.47	0.326666667	0.444
Personal Transfers	0.79	0.36	0.45	0.65	0.49	0.79	0.72	0.78	0.62	0.325	0.72	0.245	0.79	0.315	0.743333333	0.253333333	0.576
Physicians	0.85	0.5	0.87	0.75	0.62	0.59	0.8	0.73	0.86	0.45	0.8	0.4	0.72	0.43	0.73	0.386666667	0.754
Plants Threatened	0.46	0.47	0.46	0.5	0.48	0.36	0.53	0.61	0.46	0.535	0.48	0.335	0.41	0.585	0.44	0.456666667	0.473333333
PNG Banks +	0.68	0	0.25	0.42	0.31	0.55	0.3	0.23	0.465	0	0.55	0	0.615	0	0.55	0	0.536
Pop %Female	0.54	0.43	0.35	0.48	0.41	0.47	0.21	0.64	0.445	0.375	0.51	0.415	0.505	0.455	0.496666667	0.436666667	0.516
Pop < 5m	0.5	0.42	0.53	0.44	0.33	0.48	0.47	0.47	0.515	0.33	0.47	0.32	0.49	0.39	0.473333333	0.333333333	0.49
Pop >65	0.57	0.5	1	1	0.56	0.62	0.87	0.63	0.785	0.46	0.785	0.31	0.595	0.455	0.73	0.343333333	0.758
Pop 0-4 Female	0.62	0.36	0.82	0.94	0.59	0.5	0.8	0.59	0.72	0.34	0.78	0.265	0.56	0.42	0.686666667	0.336666667	0.642
Pop 0-4 Male	0.74	0.48	0.89	0.89	0.53				0.815	0.49	0.815	0.365	0.74	0.48	0.815	0.365	0.706
Pop 10-14 Female	0.87	0.36	0.81	0.94	0.53	0.45	0.8	0.6	0.84	0.34	0.905	0.37	0.66	0.42	0.753333333	0.406666667	0.73
Pop 10-14 Male	0.89	0.55	0.88	0.82	0.47	0.45	0.9	0.9	0.885	0.435	0.855	0.36	0.67	0.515	0.72	0.4	0.674
Pop 15-64	0.7	0.38	0.54	0.77	0.29	0.41	0.69	0.69	0.62	0.285	0.735	0.305	0.555	0.395	0.626666667	0.34	0.696
Pop 20-24 Male	0.84	0.33	0.88	0.82	0.71	0.43	0.76	0.7	0.86	0.375	0.83	0.265	0.635	0.405	0.696666667	0.336666667	0.744
Pop 40-44 Female	1	0.38	0.85	0.92	0.43	0.46	0.85	0.85	0.925	0.36	0.96	0.235	0.73	0.395	0.793333333	0.293333333	0.762
Pop 40-44 Male	0.93	0.5	0.77	0.85	0.43	0.51	0.69	0.77	0.85	0.355	0.89	0.335	0.72	0.455	0.763333333	0.36	0.696
Pop 45-49 Male	0.93	0.5	0.87	0.85	0.38	0.57	0.85	0.67	0.9	0.4	0.89	0.375	0.75	0.455	0.783333333	0.386666667	0.728
Pop 50-64 Female	0.6	0.31	0.87	0.87	0.47	0.57	0.88	0.69	0.735	0.305	0.735	0.305	0.585	0.395	0.68	0.363333333	0.718
Pop 55-59 Female	0.56	0.24	0.8	0.93	0.37	0.57	0.75	0.69	0.68	0.28	0.745	0.32	0.565	0.36	0.686666667	0.373333333	0.654
Pop 5-9 Male	0.87	0.46	0.82	0.88	0.47	0.5	1	0.8	0.845	0.38	0.875	0.355	0.685	0.47	0.75	0.396666667	0.68
Pop 65-69 Male	0.62	0.31	0.8	0.93	0.5	0.62	0.8	0.67	0.71	0.365	0.775	0.215	0.62	0.395	0.723333333	0.303333333	0.678
Pop 75-79	0.76	0.43	0.85	0.92	0.5	0.46	1	0.86	0.805	0.39	0.84	0.26	0.61	0.42	0.713333333	0.31	0.704
Pop 75-79 Female	0.59	0.43	0.87	0.93	0.6	0.57	0.77	0.67	0.73	0.425	0.76	0.365	0.58	0.42	0.696666667	0.38	0.678
Pop 80+ female	0.65	0.57	0.87	1	0.6	0.51	0.85	0.62	0.76	0.495	0.825	0.435	0.58	0.44	0.72	0.393333333	0.708
Pop Cities > 1-mil	0.35	0.5	0.48	0.66	0.52	0.81	0.38	0.35	0.415	0.52	0.505	0.365	0.58	0.45	0.606666667	0.376666667	0.486
Pop Cities>1-mil %	0.81	0.4	0.46	0.54	0.47	0.47	0.38	0.5	0.635	0.425	0.675	0.29	0.64	0.34	0.606666667	0.286666667	0.572
Pop Largest City	0.42	0.5	0.45	0.35	0.31	0.61	0.31	0.31	0.435	0.34	0.385	0.375	0.515	0.3	0.46	0.283333333	0.444
Pop Largest City	0.49	0.1	0.56	0.61	0.38	0.23	0.7	0.37	0.525	0.425	0.55	0.3	0.36	0.165	0.443333333	0.276666667	0.576
Popln 25-29 Male	0.52	0.2	0.76	0.78	0.35	0.48	0.9	0.8	0.64	0.4	0.65	0.25	0.5	0.305	0.593333333	0.303333333	0.692
Popln Female 15-19	0.61	0.24	0.88	0.94	0.59	0.4	0.82	0.59	0.745	0.37	0.775	0.245	0.505	0.36	0.65	0.323333333	0.676
Population	0.46	0.5	0.38	0.51	0.19	0.7	0.44	0.54	0.42	0.365	0.485	0.375	0.58	0.465	0.556666667	0.393333333	0.514
Population age 0-14	0.77	0.46	0.81	0.82	0.53	0.5	1	0.8	0.79	0.345	0.795	0.315	0.635	0.47	0.696666667	0.37	0.664
Population Density	0.34	0.28	0.38	0.37	0.29	0.5	0.5	0.34	0.36	0.32	0.355	0.175	0.42	0.375	0.403333333	0.273333333	0.39
Population Growth	0.55	0.52	0.71	0.69	0.44	0.38	0.65	0.5	0.63	0.435	0.62	0.45	0.465	0.53	0.54	0.48	0.594
Population Total	0.46	0.5	0.38	0.51	0.19	0	0.5	0.5	0.42	0.365	0.485	0.375	0.23	0.25	0.323333333	0.25	0.514
Populn 70-74 Male	0.6	0.31	0.93	1	0.47	0.57	0.86	0.79	0.765	0.405	0.8	0.27	0.585	0.36	0.723333333	0.316666667	0.756
Port Infrastructure	0.86	0.38	0.86	0.83	0.51	0.5	1	1	0.86	0.37	0.845	0.305	0.68	0.38	0.73	0.33	0.7525
Portfolio	0.38	0	0.25	0.47	0.33	0.56	0.5	0.12	0.315	0	0.425	0	0.47	0	0.47	0	0.386
Portfolio Investmt	0.82	0.35	0.73	0.84	0.43	0.77	0.91	0.75	0.775	0.215	0.83	0.26	0.795	0.42	0.81	0.336666667	0.788
Poverty	0.54	0.46	0.69	0.88	0.5	0.35	0.69	0.5	0.615	0.39	0.71	0.29	0.445	0.445	0.59	0.336666667	0.6975
Poverty	0.63	0.43	0.81	0.89	0.56	0.53	0.74	0.59	0.72	0.37	0.76	0.325	0.58	0.435	0.683333333	0.363333333	0.786
Poverty %Pop	0.73	0	0.91	1	0.49	0.22	0.92	0.42	0.82	0	0.865	0	0.475	0	0.65	0	0.735
PPG Creditors	0.3	0	0.47	0.36	0.33	0.34	0.21	0.13	0.385	0	0.33	0	0.32	0	0.333333333	0	0.422
PPG Priv.Creditors	0.44	0	0.33	0.4	0.31	0.44	0.31	0.2	0.385	0	0.42	0	0.44	0	0.426666667	0	0.454
PPG TDS	0.35	0	0.38	0.38	0.18	0.35	0.5	0.25	0.365	0	0.365	0	0.35	0	0.36	0	0.328
PPG, Creditors	0.39	0	0.22	0.36	0.19	0.27	0.2	0.13	0.305	0	0.375	0	0.33	0	0.34	0	0.344
PPG, IBRD	0.46	0	0.33	0.4	0.29	0.39	0.38	0.09	0.395	0	0.43	0	0.425	0	0.416666667	0	0.422
PPG, IDA	0.55	0	0.15	0.23	0.5	0.62	0.17	0.08	0.35	0	0.39	0	0.585	0	0.466666667	0	0.26
PPP Conversion	0.22	0.16	0.43	0.35	0.37	0.35	0.47	0.65	0.325	0.33	0.285	0.27	0.285	0.29	0.306666667	0.32	0.304
PPP conversion factpr	0.55	0.14	0.76	0.75	0.35	0.62	0.64	0.65	0.655	0.38	0.65	0.26	0.585	0.28	0.64	0.313333333	0.636
Pregnant Prenatal	0.52	0.41	0.69	0.58	0.36	0.43	0.8	0.62	0.605	0.205	0.55	0.205	0.475	0.355	0.51	0.236666667	0.468
Preprimary Schl	0.78	0.62	0.69	0.67	0.44	0.41	0.69	0.69	0.735	0.5	0.725	0.4	0.595	0.485	0.62	0.383333333	0.56
Prevalence	0.88	0.18	0.89	0.86	0.5	0.75	0.88	0.5	0.885	0.29	0.87	0.165	0.815	0.235	0.83	0.206666667	0.876666667
Pri School female %	0.54	0.21	0.92	1	0.46	0.49	0.92	0.83	0.73	0.295	0.77	0.23	0.515	0.21	0.676666667	0.223333333	0.658
Pri School Repeat	0.6	0.41	0.8	0.8	0.33	0.34	0.63	0.8	0.7	0.405	0.7	0.33	0.47	0.355	0.58	0.32	0.688
Pri. Females Out School	0.49	0.18	0.69	0.62	0.33	0.78	0.63	0.9	0.59	0.23	0.555	0.215	0.635	0.205	0.63	0.22	0.524
Pri. Out of School	0.69	0.34	0.7	0.75	0.41	0.43	0.7	0.8	0.695	0.235	0.72	0.255	0.56	0.32	0.623333333	0.27	0.574
Pri. Out of School%	0.6	0.23	0.9	0.9	0.6	0.54	0.7	0.71	0.75	0.275	0.75	0.24	0.57	0.265	0.68	0.26	0.706
Pri. School Enrollment	0.87	0.41	0.77	0.77	0.57	0.51	0.85	0.69	0.82	0.23	0.82	0.33	0.69	0.32	0.716666667	0.296666667	0.646
Pri. School Male	0.56	0.18	0.75	0.83	0.54	0.41	0.83	0.75	0.655	0.255	0.695	0.18	0.485	0.195	0.6	0.19	0.62
Pri. School Male %	0.51	0.32	0.75	0.83	0.47	0.39	0.75	0.83	0.63	0.35	0.67	0.25	0.45	0.265	0.576666667	0.236666667	0.584
Price Level Ratio PPP	0.63	0.2	0.86	0.94	0.43	0.41	0.85	0.92	0.745	0.37	0.785	0.255	0.52	0.215	0.66	0.246666667	0.772
Primary Income	0.69	0.25	0.79	0.8	0.5	0.89	0.86	0.85	0.74	0.295	0.745	0.25	0.79	0.34	0.793333333	0.31	0.726
Primary Incomes	0.66	0.42	0.87	0.92	0.47	0.77	1	0.92	0.765	0.46	0.79	0.4	0.715	0.38	0.783333333	0.38	0.784
PriSchl. Male Repeaters	0.6	0.3	0.8	0.73	0.33	0.36	0.63	0.8	0.7	0.35	0.665	0.25	0.48	0.255	0.563333333	0.236666667	0.67
Private Cred Bur	0.65	0.11	0.57	0.51	0.26	0.67	0.44	0.45	0.61	0.325	0.58	0.17	0.66	0.145	0.61	0.173333333	0.5775
Private Debt	0.8	0.13	1	1	0.65	0.67	1	0.92	0.9	0.255	0.9	0.255	0.735	0.215	0.823333333	0.27	0.858
Profit Tax	0.5	0.25	0.48	0.67	0.59	0.21	0.44	0.38	0.49	0.25	0.585	0.16	0.355	0.24	0.46	0.183333333	0.525
Protected Area %	0.42	0.15	0.5	0.44	0.31	0.36	0.44	0.38	0.46	0.215	0.43	0.2	0.39	0.425	0.406666667	0.366666667	0.453333333
Pump Price Diesel	0.71	0.15	0.82	0.75	0.46	0.47	0.66	0.74	0.765	0.27	0.73	0.19	0.59	0.28	0.643333333	0.263333333	0.582
Pump Price Gas	0.62	0.22	0.7	0.67	0.4	0.41	0.76	0.8	0.66	0.3	0.645	0.225	0.515	0.32	0.566666667	0.29	0.578
Pupil-teacher	0.74	0.48	0.75	1	0.35	0.43	0.9	0.8	0.745	0.345	0.87	0.365	0.585	0.52	0.723333333	0.43	0.678
Pupil-Teacher Ratio	0.69	0.33	0.62	0.53	0.35	0.54	0.4	0.4	0.655	0.295	0.61	0.28	0.615	0.405	0.586666667	0.346666667	0.578
Pupil-Teacher Ratio Sec.	0.68	0.67	0.69	0.81	0.35	0.39	0.69	0.69	0.685	0.44	0.745	0.46	0.535	0.57	0.626666667	0.463333333	0.58
R&D Techs	0.8	0.29	1	1	0.83	0.71	1	0.92	0.9	0.455	0.9	0.335	0.755	0.2	0.836666667	0.26	0.895
Rail Infrastructure	0.72	0.4	0.85	0.73	0.54	0.65	0.86	0.71	0.785	0.39	0.725	0.39	0.685	0.51	0.7	0.466666667	0.612
Rail Lines	0.55	0.5	0.65	0.59	0.41	0.73	0.74	0.47	0.6	0.44	0.57	0.375	0.64	0.295	0.623333333	0.28	0.526
Rail Traffic	0.55	0.29	0.59	0.61	0.31	0.87	0.71	0.57	0.57	0.22	0.58	0.155	0.71	0.285	0.676666667	0.196666667	0.546
Rain /yr	0.29	0.21	0.52	0.42	0.29	0.33	0.36	0.57	0.405	0.265	0.355	0.205	0.31	0.17	0.346666667	0.18	0.41
Real Housing Prices	0.28	0.21	0.23	0.2	0.3	0.53	0.4	0.35	0.255	0.325	0.24	0.215	0.405	0.295	0.336666667	0.27	0.222
Refugee Population	0.37	0.25	0.53	0.75	0.28	0.39	0.6	0.41	0.45	0.295	0.56	0.315	0.38	0.29	0.503333333	0.32	0.522
Refugees	0.61	0.36	0.72	0.61	0.54	0.74	0.74	0.9	0.665	0.345	0.61	0.295	0.675	0.245	0.653333333	0.24	0.598
Remits Received %GDP	0.78	0.3	0.69	0.68	0.47	0.52	0.71	0.56	0.735	0.23	0.73	0.26	0.65	0.36	0.66	0.313333333	0.768
Renewable Consptn %	0.54	0.18	0.65	0.8	0.44	0.52	0.7	0.9	0.595	0.26	0.67	0.19	0.53	0.205	0.62	0.203333333	0.692
Renewable Electricity %	0.33	0.36	0.57	0.53	0.38	0.42	0.73	0.62	0.45	0.255	0.43	0.33	0.375	0.255	0.426666667	0.27	0.448
Renewable Electricity %	0.43	0.11	0.41	0.5	0.38	0.53	0.52	0.5	0.42	0.225	0.465	0.18	0.48	0.22	0.486666667	0.23	0.468
Renewable Electricity %	0.48	0.41	0.49	0.67	0.44	0.64	0.83	0.59	0.485	0.31	0.575	0.36	0.56	0.385	0.596666667	0.36	0.504
Rent Housing Prices	0.07	0.08	0.44	0.36	0.25	0.5	0.27	0.67	0.255	0.105	0.215	0.11	0.285	0.19	0.31	0.173333333	0.314
Research	0.62	0.4	0.92	1	0.58	0.5	1	0.87	0.77	0.41	0.81	0.325	0.56	0.315	0.706666667	0.293333333	0.8075
Researchers	0.89	0.5	0.92	0.92	0.73	0.61	1	0.92	0.905	0.455	0.905	0.335	0.75	0.355	0.806666667	0.293333333	0.9125
Reserve in Months Import	0.53	0.42	0.5	0.43	0.44	0.44	0.63	0.54	0.515	0.375	0.48	0.335	0.485	0.42	0.466666667	0.363333333	0.498
Reserves US$	0.5	0.23	0.63	0.61	0.29	0.51	0.48	0.54	0.565	0.325	0.555	0.365	0.505	0.3	0.54	0.366666667	0.62
Risk on Lending	0.77	0	0.54	0.61	0.38	0.39	0.54	0.5	0.655	0	0.69	0	0.58	0	0.59	0	0.62
Rule of Law	0.71	0.42	0.86	0.86	0.63	0.67	1	1	0.785	0.35	0.785	0.325	0.69	0.425	0.746666667	0.36	0.6925
Rural < 5m %	0.31	0.5	0.36	0.31	0.27	0.29	0.5	0.32	0.335	0.475	0.31	0.385	0.3	0.44	0.303333333	0.383333333	0.326666667
Rural < 5m kms	0.38	0.43	0.3	0.49	0.4	0.29	0.4	0.41	0.34	0.34	0.435	0.35	0.335	0.445	0.386666667	0.386666667	0.39
Rural <5m % Pop	0.38	0.15	0.3	0.32	0.26	0.39	0.36	0.18	0.34	0.15	0.35	0.21	0.385	0.29	0.363333333	0.283333333	0.333333333
Rural Land	0.61	0.15	0.64	0.63	0.2	0.71	0.46	0.55	0.625	0.195	0.62	0.165	0.66	0.345	0.65	0.29	0.626666667
Rural Pop Growth	0.55	0.38	0.59	0.8	0.34	0.49	0.65	0.44	0.57	0.34	0.675	0.315	0.52	0.4	0.613333333	0.35	0.55
Rural Population	0.33	0.29	0.42	0.42	0.23	0.58	0.24	0.73	0.375	0.25	0.375	0.27	0.455	0.31	0.443333333	0.29	0.496
S&P Equity	0.67	0.25	0.39	0.46	0.25	0.39	0.81	0.69	0.53	0.245	0.565	0.25	0.53	0.24	0.506666667	0.243333333	0.498
Safety Net %Welfare	0.36	0	0.31	0.46	0.24	0.35	0.31	0.15	0.335	0	0.41	0	0.355	0	0.39	0	0.376666667
Safety Net 1st 20%	0.58	0	0.31	0.5	0.36	0.36	0.25	0.17	0.445	0	0.54	0	0.47	0	0.48	0	0.4325
Safety Net 2nd 20%	0.29	0	0.31	0.43	0.36	0.32	0.29	0.17	0.3	0	0.36	0	0.305	0	0.346666667	0	0.3075
Safety Net 3rd 20%	0.34	0	0.29	0.43	0.29	0.36	0.29	0.17	0.315	0	0.385	0	0.35	0	0.376666667	0	0.315
Safety Net 4th 20%	0.42	0	0.38	0.46	0.36	0.3	0.36	0.17	0.4	0	0.44	0	0.36	0	0.393333333	0	0.37
Safety Net Top 20%	0.35	0	0.31	0.38	0.33	0.3	0.31	0.15	0.33	0	0.365	0	0.325	0	0.343333333	0	0.2775
Safety Nets	0.35	0	0.31	0.5	0.29	0.36	0.25	0.17	0.33	0	0.425	0	0.355	0	0.403333333	0	0.345
Salaried Male %employed	0.73	0.23	0.85	0.92	0.38	0.49	0.8	0.85	0.79	0.29	0.825	0.2	0.61	0.275	0.713333333	0.24	0.696
Salaries per GDP	0.62	0.35	0.4	0.25	0.29	0.43	0.48	0.27	0.51	0.33	0.435	0.325	0.525	0.275	0.433333333	0.283333333	0.5
Salaries per GDP US$	0.62	0.35	0.4	0.25	0.29	0.43	0.48	0.27	0.51	0.33	0.435	0.325	0.525	0.275	0.433333333	0.283333333	0.5
Salary per Pop PPP	0.85	0.45	0.83	0.83	0.47	0.69	0.92	1	0.84	0.355	0.84	0.36	0.77	0.27	0.79	0.27	0.734
Salary per Population US$	0.79	0.36	1	1	0.62	0.62	1	1	0.895	0.37	0.895	0.315	0.705	0.225	0.803333333	0.24	0.824
Salt Consumption	0.25	0	0.25	0.43	0.31	0.31	0.33	0.2	0.25	0	0.34	0	0.28	0	0.33	0	0.31
Savings %GNI	0.75	0.88	0.65	0.59	0.44				0.7	0.75	0.67	0.63	0.75	0.88	0.67	0.63	0.566
Savings Emission $US	0.44	0.36	0.5	0.5	0.23	0.65	0.42	0.34	0.47	0.295	0.47	0.295	0.545	0.35	0.53	0.31	0.488
Savings Emission Damage	0.69	0.42	0.75	0.87	0.34	0.94	0.83	0.64	0.72	0.42	0.78	0.335	0.815	0.4	0.833333333	0.35	0.708
Savings Energy Loss	0.64	0.29	0.69	0.57	0.37	0.8	0.47	0.47	0.665	0.355	0.605	0.31	0.72	0.335	0.67	0.333333333	0.63
Savings Growth $US	0.59	0.27	0.54	0.61	0.28	0.63	0.56	0.41	0.565	0.24	0.6	0.22	0.61	0.305	0.61	0.26	0.584
Savings Growth 2018	0.77	0.2	0.77	0.85	0.5	0.95	0.85	0.77	0.77	0.24	0.81	0.215	0.86	0.31	0.856666667	0.283333333	0.77
Savings Growth GDP	0.52	0.33	0.52	0.73	0.25	0.43	0.63	0.4	0.52	0.415	0.625	0.33	0.475	0.37	0.56	0.356666667	0.54
Savings Grth 10-year	1	0.75	0.6	0.59	0.38	0.87	0.85	0.67	0.8	0.645	0.795	0.565	0.935	0.585	0.82	0.516666667	0.682
Savings w. Emission %GNI	0.55	0.3	0.67	0.63	0.3	0.46	0.73	0.41	0.61	0.42	0.59	0.34	0.505	0.33	0.546666667	0.346666667	0.51
Savings wo. Emiss %GNI	0.57	0.55	0.6	0.5	0.4	0.48	0.73	0.47	0.585	0.545	0.535	0.465	0.525	0.525	0.516666667	0.476666667	0.48
Savings: CO2 Damage	0.56	0.33	0.53	0.59	0.43	0.45	0.47	0.64	0.545	0.335	0.575	0.29	0.505	0.4	0.533333333	0.35	0.574
Savings: CO2 Damage	0.93	0.42	0.73	0.73	0.41	0.87	0.73	0.5	0.83	0.35	0.83	0.335	0.9	0.36	0.843333333	0.323333333	0.734
Savings: Education	0.88	0.42	0.69	0.85	0.34	0.93	0.77	0.62	0.785	0.42	0.865	0.335	0.905	0.48	0.886666667	0.403333333	0.76
Savings: Forest	0.68	0.36	0.5	0.6	0.4	0.91	0.5	0.7	0.59	0.225	0.64	0.215	0.795	0.36	0.73	0.263333333	0.586
School Comp Female	0.65	0.26	0.6	0.67	0.28	0.41	0.67	0.6	0.625	0.22	0.66	0.265	0.53	0.28	0.576666667	0.276666667	0.606
School Complete Primary	0.67	0.21	0.8	0.73	0.57	0.52	0.75	0.67	0.735	0.355	0.7	0.185	0.595	0.27	0.64	0.233333333	0.6375
School Completed Pri Male	0.73	0.21	0.8	0.8	0.51	0.52	0.75	0.67	0.765	0.355	0.765	0.185	0.625	0.27	0.683333333	0.233333333	0.695
School Enroll	0.65	0.19	0.6	0.73	0.27	0.51	0.53	0.62	0.625	0.145	0.69	0.145	0.58	0.21	0.63	0.173333333	0.536
School Enroll Primary	0.45	0.2	0.69	0.69	0.41	0.41	0.62	0.56	0.57	0.41	0.57	0.225	0.43	0.215	0.516666667	0.226666667	0.604
School Enroll Pri-Sec	0.43	0.27	0.47	0.48	0.29	0.47	0.56	0.44	0.45	0.275	0.455	0.18	0.45	0.25	0.46	0.196666667	0.514
School Enroll, Sec	0.32	0.17	0.69	0.75	0.31	0.52	0.56	0.56	0.505	0.255	0.535	0.25	0.42	0.2	0.53	0.243333333	0.606
School Enrolmt Tertiary	0.65	0.3	0.87	0.8	0.6	0.62	0.77	0.6	0.76	0.355	0.725	0.25	0.635	0.36	0.69	0.306666667	0.758
School Enrolmt Tertiary F	0.65	0.38	0.87	0.75	0.54	0.62	0.8	0.62	0.76	0.35	0.7	0.24	0.635	0.4	0.673333333	0.3	0.726
School Enrolmt Tertiary M	0.65	0.23	0.67	0.83	0.47	0.57	0.77	0.62	0.66	0.225	0.74	0.165	0.61	0.325	0.683333333	0.25	0.65
School Sec. Enrlmt Male	0.87	0.29	0.85	0.85	0.57	0.51	0.92	0.77	0.86	0.26	0.86	0.27	0.69	0.26	0.743333333	0.256666667	0.708
Scientific Articles	0.55	0.5	0.69	0.85	0.5	0.76	0.87	0.56	0.62	0.39	0.7	0.375	0.655	0.415	0.72	0.36	0.6625
SCP	1	0.62	1	1	0.75	0.56	1	0.85	1	0.685	1	0.56	0.78	0.39	0.853333333	0.426666667	0.858
SCP 2	1	0.62	0.93	1	0.54	0.75	1	0.87	0.965	0.71	1	0.5	0.875	0.485	0.916666667	0.45	0.736
SCP 3	1	0.62	0.93	0.86	0.67	0.65	1	0.75	0.965	0.56	0.93	0.435	0.825	0.485	0.836666667	0.406666667	0.76
Sec School Female	0.49	0.46	0.71	0.79	0.53	0.36	0.67	0.53	0.6	0.48	0.64	0.42	0.425	0.305	0.546666667	0.33	0.638
Sec. Education Yrs	0.68	0.17	0.95	0.84	0.95	0.37	0.88	0.79	0.815	0.185	0.76	0.16	0.525	0.24	0.63	0.21	0.512
Sec.School Female	0.62	0.3	0.86	0.86	0.44	0.45	0.86	0.79	0.74	0.3	0.74	0.25	0.535	0.3	0.643333333	0.266666667	0.666
Secondary Income	0.64	0.54	0.87	0.87	0.47	0.64	0.92	0.77	0.755	0.46	0.755	0.46	0.64	0.475	0.716666667	0.443333333	0.762
Secondary Income	0.78	0.55	0.84	0.88	0.65	0.94	0.94	1	0.81	0.625	0.83	0.475	0.86	0.55	0.866666667	0.5	0.796
Secondary Incomes	0.64	0.15	0.61	0.63	0.35	0.64	0.67	0.54	0.625	0.2	0.635	0.12	0.64	0.3	0.636666667	0.23	0.528
Secondary Private %	0.32	0.24	0.47	0.4	0.43	0.41	0.28	0.38	0.395	0.295	0.36	0.31	0.365	0.26	0.376666667	0.3	0.482
Secondary School %	0.69	0.3	0.83	0.86	0.38	0.45	0.86	0.75	0.76	0.32	0.775	0.21	0.57	0.3	0.666666667	0.24	0.666
Secondry School Male	0.75	0.3	0.83	0.93	0.4	0.55	0.86	0.86	0.79	0.175	0.84	0.21	0.65	0.3	0.743333333	0.24	0.722
Self Employed %	0.69	0.28	0.8	0.9	0.41	0.6	0.82	0.8	0.745	0.35	0.795	0.24	0.645	0.3	0.73	0.266666667	0.66
Self-employed, Female	0.77	0.4	0.81	0.9	0.47	0.69	0.76	0.8	0.79	0.325	0.835	0.285	0.73	0.37	0.786666667	0.303333333	0.682
Servers	0.93	0.75	0.85	0.92	0.44	0.75	0.92	0.85	0.89	0.525	0.925	0.49	0.84	0.595	0.866666667	0.473333333	0.8575
Servers /mil	0.75	0.44	0.8	0.85	0.51	0.61	0.87	0.92	0.775	0.43	0.8	0.255	0.68	0.49	0.736666667	0.35	0.7725
Service Exports	0.72	0.47	0.87	0.87	0.4	0.6	0.92	0.77	0.795	0.425	0.795	0.36	0.66	0.37	0.73	0.33	0.804
Service on Ext. Debt	0.34	0	0.38	0.24	0.16	0.38	0.18	0.13	0.36	0	0.29	0	0.36	0	0.32	0	0.38
Services Trade % GDP	0.28	0.23	0.54	0.67	0.5	0.41	0.41	0.48	0.41	0.24	0.475	0.215	0.345	0.29	0.453333333	0.26	0.448
Shipping Index	0.67	0.31	0.63	0.73	0.67	0.47	1	0.66	0.65	0.275	0.7	0.29	0.57	0.39	0.623333333	0.35	0.59
Short-term Debt	0.38	0	0.29	0.45	0.29	0.38	0.17	0.07	0.335	0	0.415	0	0.38	0	0.403333333	0	0.328
Short-term Debt	0.38	0	0.27	0.48	0.33	0.44	0.42	0.17	0.325	0	0.43	0	0.41	0	0.433333333	0	0.38
Short-term Debt	0.5	0	0.23	0.31	0.15	0.53	0.23	0.08	0.365	0	0.405	0	0.515	0	0.446666667	0	0.33
Slums %Urban Pop	0.59	0	0.78	0.89	0.37	0.75	0.89	0.67	0.685	0	0.74	0	0.67	0	0.743333333	0	0.61
Smart Cities Index 2020	0.8	0.19	0.79	0.88	0.38	0.39	0.88	0.89	0.795	0.2	0.84	0.15	0.595	0.245	0.69	0.2	0.823333333
Social Contract	1	0.36	0.85	1	0.32	0.65	1	1	0.925	0.37	1	0.37	0.825	0.325	0.883333333	0.343333333	0.75
Social Contract 3	1	0.64	0.87	0.93	0.56	0.67	1	0.92	0.935	0.63	0.965	0.51	0.835	0.44	0.866666667	0.42	0.76
Social Contract 3	1	0.62	1	1	0.83	0.51	1	0.85	1	0.585	1	0.49	0.755	0.41	0.836666667	0.393333333	0.766
Social Contract Loss	0.6	0.58	0.52	0.41	0.35	1	0.31	0.8	0.56	0.405	0.505	0.375	0.8	0.61	0.67	0.463333333	0.592
Social Contract Product	1	0.62	1	1	0.75	0.56	1	1	1	0.685	1	0.56	0.78	0.39	0.853333333	0.426666667	0.834
Social contribs	0.25	0.19	0.71	0.64	0.47	0.4	0.64	0.25	0.48	0.24	0.445	0.22	0.325	0.325	0.43	0.3	0.408
Social Contribution	0.5	0.18	0.89	0.86	0.48	0.5	0.66	0.67	0.695	0.34	0.68	0.27	0.5	0.235	0.62	0.276666667	0.668
Social Ins. 1st 20%	0.4	0	0.64	0.62	0.54	0.4	0.31	0.2	0.52	0	0.51	0	0.4	0	0.473333333	0	0.4825
Social Ins. 2nd 20%	0.5	0	0.64	0.55	0.46	0.4	0.33	0.08	0.57	0	0.525	0	0.45	0	0.483333333	0	0.44
Social Ins. 3rd 20%	0.5	0	0.64	0.64	0.42	0.5	0.33	0.08	0.57	0	0.57	0	0.5	0	0.546666667	0	0.5125
Social Ins. 4th 20%	0.47	0	0.73	0.64	0.42	0.44	0.31	0.08	0.6	0	0.555	0	0.455	0	0.516666667	0	0.5475
Social Ins. Top 20%	0.47	0	0.73	0.64	0.5	0.44	0.38	0.07	0.6	0	0.555	0	0.455	0	0.516666667	0	0.565
Social Insurance	0.38	0	0.82	0.73	0.5	0.38	0.33	0.08	0.6	0	0.555	0	0.38	0	0.496666667	0	0.525
Social insurance	0.6	0	0.55	0.64	0.33	0.32	0.45	0.12	0.575	0	0.62	0	0.46	0	0.52	0	0.615
Social Mobility	0.78	0.5	1	0.88	0.82	0.65	1	0.75	0.89	0.5	0.83	0.375	0.715	0.395	0.77	0.346666667	0.886666667
Spending G & S	0.56	0.27	0.6	0.71	0.44	0.48	0.55	0.53	0.58	0.3	0.635	0.27	0.52	0.325	0.583333333	0.306666667	0.566
Spending G & S	0.62	0.18	0.33	0.47	0.16	0.34	0.56	0.47	0.475	0.21	0.545	0.215	0.48	0.18	0.476666667	0.203333333	0.422
Spending Gov Consumptn	0.36	0.25	0.49	0.36	0.32	0.5	0.46	0.5	0.425	0.23	0.36	0.25	0.43	0.225	0.406666667	0.233333333	0.41
Staff Tertiary Education F	0.65	0.28	0.67	0.8	0.42	0.39	0.6	0.53	0.66	0.35	0.725	0.29	0.52	0.29	0.613333333	0.293333333	0.544
Stocks Domestic %	0.5	0.24	0.77	0.69	0.24	0.52	0.92	0.58	0.635	0.3	0.595	0.18	0.51	0.265	0.57	0.216666667	0.562
Stocks traded %GDP	0.58	0.24	0.59	0.66	0.23	0.65	0.84	0.58	0.585	0.26	0.62	0.245	0.615	0.3	0.63	0.283333333	0.53
Stocks traded US$	0.56	0.44	0.48	0.79	0.34	0.63	0.91	0.58	0.52	0.36	0.675	0.345	0.595	0.365	0.66	0.326666667	0.536
Stunting Male%	0.32	0	0.44	0.56	0.5	0.24	0.29	0.2	0.38	0	0.44	0	0.28	0	0.373333333	0	0.3475
Subsidies	0.52	0.29	0.73	0.62	0.27	0.5	0.49	0.25	0.625	0.35	0.57	0.335	0.51	0.265	0.546666667	0.303333333	0.548
Subsidies	0.66	0.27	1	0.76	0.44	0.42	0.77	0.58	0.83	0.325	0.71	0.26	0.54	0.325	0.613333333	0.3	0.678
Suicide	0.6	0.22	0.64	0.61	0.53	0.57	0.61	0.5	0.62	0.225	0.605	0.26	0.585	0.3	0.593333333	0.3	0.616666667
Suicide M:F Ratio	0.33	0.36	0.5	0.31	0.3	0.58	0.4	0.25	0.415	0.43	0.32	0.28	0.455	0.325	0.406666667	0.283333333	0.38
Suicide Rankings	0.44	0.24	0.58	0.52	0.67	0.45	0.56	0.67	0.51	0.34	0.48	0.285	0.445	0.31	0.47	0.316666667	0.4775
Surface sq. km	0.5	0.35	0.56	0.75	0.25	0.48	0.58	0.54	0.53	0.27	0.625	0.29	0.49	0.295	0.576666667	0.273333333	0.592
Surgeons	0.73	0.24	0.8	0.85	0.44	0.67	0.67	0.69	0.765	0.265	0.79	0.205	0.7	0.31	0.75	0.263333333	0.793333333
Surgery Cost	0.69	0.33	1	0.93	0.75	0.74	0.92	0.83	0.845	0.45	0.81	0.31	0.715	0.34	0.786666667	0.323333333	0.8175
Surgical Care Risk	0.8	0.34	1	1	0.75	0.72	0.95	0.85	0.9	0.48	0.9	0.36	0.76	0.3	0.84	0.326666667	0.91
Survival to 65 female	0.82	0.27	0.93	1	0.53	0.41	1	0.93	0.875	0.405	0.91	0.325	0.615	0.34	0.743333333	0.353333333	0.82
Tariff	0.6	0	0.63	0.58	0.42	0.49	0.54	0.41	0.615	0.055	0.59	0.025	0.545	0.15	0.556666667	0.116666667	0.57
Tariff	0.62	0	0.81	0.77	0.5	0.43	0.74	0.7	0.715	0.105	0.695	0.025	0.525	0.115	0.606666667	0.093333333	0.706
Tariff	0.63	0.13	0.79	0.79	0.43	0.42	0.75	0.64	0.71	0.185	0.71	0.075	0.525	0.215	0.613333333	0.15	0.678
Tariff	0.63	0.19	0.69	0.57	0.41	0.5	0.69	0.52	0.66	0.18	0.6	0.11	0.565	0.245	0.566666667	0.173333333	0.59
Tariff	0.63	0.13	0.76	0.79	0.47	0.38	0.57	0.54	0.695	0.15	0.71	0.08	0.505	0.315	0.6	0.22	0.678
Tariff	0.67	0.21	0.79	0.78	0.44	0.46	0.82	0.7	0.73	0.32	0.725	0.12	0.565	0.185	0.636666667	0.133333333	0.736
Tariff	0.73	0	0.65	0.7	0.52	0.52	0.7	0.72	0.69	0	0.715	0	0.625	0.115	0.65	0.076666667	0.686
Tariff rate	0.63	0	0.68	0.73	0.47	0.46	0.72	0.68	0.655	0.125	0.68	0.015	0.545	0.15	0.606666667	0.11	0.696
Tariff Rate	0.67	0.16	0.77	0.74	0.44	0.51	0.83	0.64	0.72	0.2	0.705	0.09	0.59	0.195	0.64	0.136666667	0.7
Tax	0.7	0.29	0.62	0.69	0.39	0.46	0.6	0.64	0.66	0.17	0.695	0.155	0.58	0.335	0.616666667	0.23	0.6375
Tax - Products	0.57	0.28	0.69	0.77	0.44	0.77	0.75	0.61	0.63	0.28	0.67	0.265	0.67	0.37	0.703333333	0.33	0.662
Tax $LCU	0.33	0.27	0.67	0.47	0.27	0.42	0.45	0.4	0.5	0.28	0.4	0.26	0.375	0.21	0.406666667	0.223333333	0.404
Tax % GDP	0.45	0.09	0.75	0.66	0.32	0.33	0.55	0.64	0.6	0.185	0.555	0.17	0.39	0.09	0.48	0.143333333	0.612
Tax Commercial	0.42	0.33	0.52	0.68	0.25	0.36	0.33	0.42	0.47	0.34	0.55	0.345	0.39	0.375	0.486666667	0.37	0.56
Tax Other	0.57	0.3	0.4	0.33	0.33	0.42	0.38	0.24	0.485	0.34	0.45	0.275	0.495	0.265	0.44	0.26	0.422
Taxes Goods & Serv	0.38	0.15	0.46	0.47	0.29	0.36	0.36	0.4	0.42	0.21	0.425	0.2	0.37	0.15	0.403333333	0.183333333	0.414
Taxes Goods & Serv	0.5	0.4	0.6	0.43	0.37	0.34	0.56	0.53	0.55	0.345	0.465	0.245	0.42	0.305	0.423333333	0.233333333	0.542
Taxes Goods & Serv	0.53	0.3	0.39	0.37	0.4	0.37	0.36	0.5	0.46	0.25	0.45	0.195	0.45	0.245	0.423333333	0.193333333	0.484
Taxes Int Trade	0.55	0.3	0.89	0.75	0.49	0.68	0.93	0.8	0.72	0.375	0.65	0.285	0.615	0.22	0.66	0.236666667	0.534
Taxes Int Trade	0.68	0.11	0.89	0.89	0.49	0.67	1	0.7	0.785	0.175	0.785	0.1	0.675	0.11	0.746666667	0.103333333	0.654
Teachers Female	0.4	0	0.23	0.36	0.21	0.3	0.23	0.21	0.315	0	0.38	0	0.35	0	0.353333333	0	0.3525
Teachers Male	0.4	0	0.21	0.38	0.17	0.36	0.28	0.21	0.305	0	0.39	0	0.38	0	0.38	0	0.32
Teachers Sec. Female	0.48	0.36	0.87	0.93	0.43	0.36	0.67	0.6	0.675	0.38	0.705	0.38	0.42	0.33	0.59	0.353333333	0.612
Teachers, Secondary	0.47	0.41	0.5	0.5	0.21	0.39	0.48	0.32	0.485	0.31	0.485	0.33	0.43	0.455	0.453333333	0.386666667	0.512
Teenage Mothers	0.28	0	0.56	0.67	0.36	0.33	0.44	0.22	0.42	0	0.475	0	0.305	0	0.426666667	0	0.503333333
Theft. Arson Loss	0.6	0	0.5	0.55	0.31	0.38	0.46	0.33	0.55	0	0.575	0	0.49	0	0.51	0	0.4575
Time to Export	0.6	0.16	0.88	0.92	0.58	0.49	0.92	0.67	0.74	0.225	0.76	0.18	0.545	0.205	0.67	0.203333333	0.8
Time to Export	0.81	0.45	0.93	0.85	0.64	0.79	1	0.71	0.87	0.225	0.83	0.225	0.8	0.37	0.816666667	0.246666667	0.863333333
Time to Import (doctn hrs)	0.63	0.12	0.78	0.75	0.52	0.55	0.83	0.67	0.705	0.29	0.69	0.135	0.59	0.175	0.643333333	0.166666667	0.72
Tot Factor Productivity	0.68	0.24	0.75	0.76	0.67	0.44	0.83	0.77	0.715	0.285	0.72	0.285	0.56	0.235	0.626666667	0.266666667	0.6
Total Debt Service	0.32	0	0.27	0.31	0.31	0.5	0.38	0.38	0.295	0	0.315	0	0.41	0	0.376666667	0	0.316
Total Fisheries	0.35	0.41	0.41	0.34	0.29	0.41	0.35	0.44	0.38	0.335	0.345	0.32	0.38	0.435	0.366666667	0.366666667	0.442
Tourism Arrivals	0.66	0.54	0.67	0.79	0.56	0.49	0.92	0.63	0.665	0.385	0.725	0.395	0.575	0.48	0.646666667	0.403333333	0.6775
Tourism Departs	0.58	0.62	0.79	0.79	0.47	0.81	0.81	0.5	0.685	0.45	0.685	0.435	0.695	0.62	0.726666667	0.496666667	0.7325
Tourism Items US$	0.72	0.62	0.75	0.83	0.44	0.87	0.85	0.75	0.735	0.56	0.775	0.5	0.795	0.52	0.806666667	0.473333333	0.72
Tourism rcpts US$	0.61	0.47	0.67	0.83	0.5	0.5	0.92	0.67	0.64	0.445	0.72	0.425	0.555	0.355	0.646666667	0.363333333	0.656
Tourism Receipts	0.49	0.45	0.65	0.46	0.53	0.47	0.42	0.37	0.57	0.385	0.475	0.35	0.48	0.44	0.473333333	0.376666667	0.542
Tourism Receipts	0.65	0.42	0.71	0.82	0.35	0.69	0.93	0.8	0.68	0.355	0.735	0.4	0.67	0.315	0.72	0.336666667	0.6725
Tourism Receipts US$	0.69	0.66	0.67	0.85	0.38	0.49	0.92	0.69	0.68	0.445	0.77	0.52	0.59	0.435	0.676666667	0.416666667	0.69
Tourism Spending	0.41	0.38	0.61	0.57	0.32	0.41	0.52	0.47	0.51	0.35	0.49	0.235	0.41	0.425	0.463333333	0.313333333	0.446
Tourism Spending US$	0.66	0.62	0.85	0.92	0.44	0.82	0.92	0.77	0.755	0.51	0.79	0.5	0.74	0.56	0.8	0.5	0.78
Tourism Transport US$	0.69	0.32	0.57	0.65	0.38	0.52	0.74	0.58	0.63	0.295	0.67	0.285	0.605	0.3	0.62	0.283333333	0.5975
Trade %	0.58	0.4	0.59	0.59	0.57	0.45	0.49	0.59	0.585	0.315	0.585	0.26	0.515	0.425	0.54	0.323333333	0.486
Trade Balance $	1	1	0.8	0.79	0.44	1	0.92	0.73	0.9	0.69	0.895	0.655	1	1	0.93	0.77	0.892
Trade Balance % GDP	1	1	0.87	0.73	0.27	1	0.73	0.69	0.935	0.71	0.865	0.535	1	1	0.91	0.69	0.712
Trade Balance cLCU	1	0.75	0.66	0.73	0.47	1	0.8	0.79	0.83	0.58	0.865	0.5	1	0.75	0.91	0.583333333	0.838
Trade Balance LCU	1	1	0.73	0.67	0.34	1	0.74	0.75	0.865	0.71	0.835	0.535	1	1	0.89	0.69	0.832
Trade Goods Services	1	1	0.85	0.73	0.41	1	0.86	0.69	0.925	0.71	0.865	0.665	1	0.875	0.91	0.693333333	0.878
Trade Goods US$	0.88	0.5	0.77	0.85	0.4	0.89	0.77	0.69	0.825	0.39	0.865	0.295	0.885	0.535	0.873333333	0.386666667	0.814
Trade Merch % GDP	0.73	0.58	0.54	0.5	0.5	0.59	0.56	0.36	0.635	0.355	0.615	0.39	0.66	0.53	0.606666667	0.42	0.548
Trademark - NRs	0.47	0.41	0.67	0.79	0.53	0.57	0.71	0.43	0.57	0.25	0.63	0.33	0.52	0.335	0.61	0.306666667	0.675
Trademark - NRs	0.69	0.21	0.62	0.77	0.44	0.76	0.69	0.4	0.655	0.165	0.73	0.23	0.725	0.275	0.74	0.266666667	0.66
Trademark Apps	0.39	0.42	0.58	0.69	0.34	0.85	0.75	0.35	0.485	0.33	0.54	0.335	0.62	0.39	0.643333333	0.343333333	0.5625
Trademark Apps	0.45	0.31	0.6	0.62	0.35	0.9	0.77	0.4	0.525	0.315	0.535	0.245	0.675	0.38	0.656666667	0.313333333	0.502
Trademark Apps	0.8	0.32	0.6	0.67	0.4	0.87	0.71	0.44	0.7	0.29	0.735	0.25	0.835	0.37	0.78	0.306666667	0.698
Training Firms %	0.34	0	0.5	0.58	0.4	0.19	0.37	0.31	0.42	0	0.46	0	0.265	0	0.37	0	0.4875
Transfers from Abroad $US	0.93	0.64	0.88	0.88	0.53	0.85	0.88	1	0.905	0.58	0.905	0.52	0.89	0.595	0.886666667	0.53	0.818
Transfers from Abroad cLCU	0.65	0.12	0.69	0.63	0.5	0.65	0.66	0.6	0.67	0.115	0.64	0.12	0.65	0.12	0.643333333	0.12	0.582
Transfers from Abroad LCU	0.85	0.43	0.82	0.82	0.47	0.81	0.76	0.88	0.835	0.475	0.835	0.415	0.83	0.49	0.826666667	0.46	0.826
Transport	0.45	0.41	0.69	0.61	0.34	0.47	0.53	0.6	0.57	0.505	0.53	0.355	0.46	0.41	0.51	0.373333333	0.574
Transport % Export	0.45	0.24	0.41	0.5	0.38	0.51	0.36	0.34	0.43	0.42	0.475	0.27	0.48	0.31	0.486666667	0.306666667	0.43
Transport % svc. imports	0.62	0.41	0.7	0.62	0.47	0.41	0.56	0.7	0.66	0.505	0.62	0.355	0.515	0.41	0.55	0.373333333	0.53
Travel	0.3	0.26	0.44	0.5	0.24	0.41	0.63	0.35	0.37	0.17	0.4	0.23	0.355	0.285	0.403333333	0.256666667	0.432
Travel % svc. imports	0.29	0.24	0.35	0.55	0.23	0.41	0.56	0.43	0.32	0.16	0.42	0.22	0.35	0.275	0.416666667	0.25	0.38
Travel Services	0.45	0.5	0.56	0.49	0.53	0.43	0.5	0.37	0.505	0.36	0.47	0.375	0.44	0.405	0.456666667	0.353333333	0.5
Tuberculosis	0.68	0.44	0.94	0.94	0.5	0.61	0.94	0.89	0.81	0.57	0.81	0.47	0.645	0.53	0.743333333	0.52	0.75
Tuberculosis %	0.48	0.17	0.75	0.63	0.27	0.54	0.75	0.54	0.615	0.155	0.555	0.155	0.51	0.345	0.55	0.276666667	0.59
Under 5 Mortality	0.77	0.3	0.9	0.9	0.6	0.57	0.9	0.9	0.835	0.46	0.835	0.245	0.67	0.34	0.746666667	0.29	0.794
Undernourishment %	0.74	0	0.79	0.84	0.47	0.62	0.79	0.58	0.765	0.1	0.79	0.06	0.68	0.19	0.733333333	0.166666667	0.7825
Underweight Females	0.27	0	0.5	0.7	0.38	0.44	0.36	0.2	0.385	0	0.485	0	0.355	0	0.47	0	0.45
Unempl - Educated %	0.69	0.28	0.61	0.59	0.43	0.5	0.6	0.65	0.65	0.305	0.64	0.225	0.595	0.33	0.593333333	0.276666667	0.61
Unempl basic eductn	0.41	0.34	0.56	0.57	0.42	0.31	0.47	0.44	0.485	0.38	0.49	0.23	0.36	0.22	0.43	0.186666667	0.432
Unempl Educ Male	0.72	0.4	0.61	0.59	0.43	0.42	0.6	0.69	0.665	0.305	0.655	0.325	0.57	0.385	0.576666667	0.34	0.63
Unempl Educated Female	0.78	0.42	0.75	0.58	0.53	0.53	0.65	0.56	0.765	0.37	0.68	0.325	0.655	0.42	0.63	0.356666667	0.628
Unempl Poorest 20%	0.49	0	0.5	0.38	0.38	0.44	0.36	0.09	0.495	0	0.435	0	0.465	0	0.436666667	0	0.456666667
Unemploy Benefits	0.34	0	0.21	0.33	0.29	0.37	0.38	0.08	0.275	0	0.335	0	0.355	0	0.346666667	0	0.293333333
Unemployment %	0.49	0.52	0.5	0.45	0.41	0.47	0.43	0.25	0.495	0.4	0.47	0.385	0.48	0.51	0.47	0.423333333	0.532
Unemployment Male %male	0.31	0.58	0.38	0.33	0.35	0.49	0.48	0.39	0.345	0.42	0.32	0.39	0.4	0.45	0.376666667	0.366666667	0.354
Unemployment WP	0.45	0.67	0.56	0.6	0.38	0.36	0.49	0.36	0.505	0.415	0.525	0.435	0.405	0.645	0.47	0.496666667	0.536666667
Unemploymt Poorest 20%	0.43	0	0.46	0.19	0.3	0.29	0.25	0.08	0.445	0	0.31	0	0.36	0	0.303333333	0	0.36
Unemplymt Ttl ILO	0.42	0.42	0.48	0.42	0.47	0.47	0.46	0.38	0.45	0.3	0.42	0.335	0.445	0.37	0.436666667	0.33	0.44
Unicorn Startups	0.47	0	0.14	0.16	0.28	0.38	0.07	0.3	0.305	0	0.315	0	0.425	0	0.336666667	0	0.3175
Untrained Youth	0.67	0.55	0.81	0.88	0.49	0.39	0.76	0.7	0.74	0.415	0.775	0.4	0.53	0.42	0.646666667	0.363333333	0.775
Urban < 5m %	0.67	0.35	0.68	0.63	0.34	0.31	0.62	0.73	0.675	0.295	0.65	0.265	0.49	0.28	0.536666667	0.246666667	0.66
Urban < 5m kms	0.61	0.23	0.62	0.7	0.27	0.5	0.76	0.55	0.615	0.24	0.655	0.25	0.555	0.22	0.603333333	0.236666667	0.643333333
Urban <5m % Pop	0.44	0.33	0.5	0.42	0.33	0.42	0.44	0.5	0.47	0.285	0.43	0.275	0.43	0.305	0.426666667	0.276666667	0.453333333
Urban Land	0.57	0.35	0.58	0.64	0.53	0.44	0.6	0.46	0.575	0.345	0.605	0.31	0.505	0.305	0.55	0.293333333	0.596666667
Urban Population	0.44	0.5	0.48	0.29	0.29	0.69	0.44	0.35	0.46	0.365	0.365	0.375	0.565	0.35	0.473333333	0.316666667	0.454
Urban Population	0.69	0.2	0.67	0.93	0.36	0.33	0.8	0.69	0.68	0.195	0.81	0.2	0.51	0.375	0.65	0.316666667	0.668
Violence on Women	0.73	0.23	0.82	0.82	0.36	0.41	0.82	0.64	0.775	0.115	0.775	0.115	0.57	0.225	0.653333333	0.15	0.79
Vitamin	0.29	0	0.09	0.07	0.21	0.31	0.17	0.08	0.19	0	0.18	0	0.3	0	0.223333333	0	0.15
Vulnerable empl %	0.76	0.28	0.8	1	0.6	0.69	0.9	0.9	0.78	0.265	0.88	0.225	0.725	0.35	0.816666667	0.29	0.696
Vulnerable Empl Female	0.69	0.3	0.76	1	0.41	0.69	0.82	0.8	0.725	0.275	0.845	0.235	0.69	0.32	0.793333333	0.27	0.666
Wage	0.68	0.21	0.85	0.92	0.4	0.55	0.77	0.85	0.765	0.315	0.8	0.23	0.615	0.265	0.716666667	0.26	0.704
Wage	0.82	0.3	0.8	0.92	0.5	0.55	0.77	0.85	0.81	0.36	0.87	0.275	0.685	0.31	0.763333333	0.29	0.662
Wages Monthly	0.81	0.62	0.79	0.85	0.29	0.8	0.85	1	0.8	0.58	0.83	0.435	0.805	0.455	0.82	0.386666667	0.816666667
Wanted Fertility Rate	0.33	0	0.38	0.25	0.38	0.21	0.31	0.08	0.355	0	0.29	0	0.27	0	0.263333333	0	0.32
War Battle Deaths	0.54	0	0.64	0.56	0.25	0.57	0.5	0.47	0.59	0	0.55	0	0.555	0	0.556666667	0	0.408
Waste & Combustion	0.62	0.15	0.78	0.73	0.47	0.4	0.67	0.78	0.7	0.235	0.675	0.225	0.51	0.15	0.583333333	0.2	0.662
Water productivity	0.79	0.22	0.83	0.92	0.48	0.44	0.92	0.83	0.81	0.36	0.855	0.235	0.615	0.3	0.716666667	0.283333333	0.846666667
Wealth GINI	0.41	0.13	0.57	0.61	0.54	0.45	0.43	0.3	0.49	0.195	0.51	0.18	0.43	0.215	0.49	0.22	0.53
Wealth GINI 2018	0.31	0.17	0.59	0.52	0.44	0.34	0.36	0.26	0.45	0.22	0.415	0.22	0.325	0.2	0.39	0.223333333	0.473333333
Wealth per Adult	0.93	0.25	0.92	0.93	0.53	0.57	1	0.71	0.925	0.375	0.93	0.25	0.75	0.27	0.81	0.263333333	0.926666667
Wholesale Price Index	0.33	0	0.22	0.38	0.21	0.42	0.46	0.22	0.275	0	0.355	0	0.375	0	0.376666667	0	0.31
Working Age %	0.77	0.36	0.5	0.71	0.29	0.41	0.7	0.8	0.635	0.295	0.74	0.305	0.59	0.42	0.63	0.363333333	0.626
Working Mothers	0.32	0.18	0.62	0.3	0.42	0.42	0.16	0.37	0.47	0.28	0.31	0.28	0.37	0.23	0.346666667	0.28	0.3925
Working Mothers Alone	0.45	0.31	0.27	0.18	0.31	0.5	0.15	0.23	0.36	0.22	0.315	0.28	0.475	0.335	0.376666667	0.306666667	0.27
Working Mothers w Partner	0.27	0.16	0.62	0.29	0.42	0.5	0.16	0.37	0.445	0.245	0.28	0.215	0.385	0.26	0.353333333	0.263333333	0.3625
Working Old %	0.69	0.5	0.93	0.93	0.56	0.51	0.85	0.69	0.81	0.46	0.81	0.31	0.6	0.455	0.71	0.343333333	0.742
Working Youth %	0.89	0.55	0.76	0.81	0.47	0.55	0.8	0.7	0.825	0.39	0.85	0.36	0.72	0.515	0.75	0.4	0.704
World Happiness	0.81	0.38	1	1	0.65	0.53	1	1	0.905	0.4	0.905	0.315	0.67	0.305	0.78	0.286666667	0.8225
World Happiness Report	0.86	0.22	0.92	0.92	0.46	0.49	0.92	0.75	0.89	0.3	0.89	0.235	0.675	0.225	0.756666667	0.233333333	0.9
Youth no school nor work	0.73	0.55	0.8	0.73	0.63	0.45	0.89	0.9	0.765	0.48	0.73	0.4	0.59	0.45	0.636666667	0.383333333	0.7025
Youth with HIV	0.36	0	0.33	0.38	0.32	0.31	0.33	0.22	0.345	0	0.37	0	0.335	0	0.35	0	0.342

 

Machine Learning and Artificial Intelligence – CSQ automates every possible comparison and combination in background scripts, that run day and night to search for the most optimal and highest probability of success measures for every country. MEMS AI presents that state-of-the-art capability to governments, regulators, finance and central banks, and to schools with training as needed to ensure success.

CSQ Research Certifications and Training – For Governments, Schools, Finance, and Political Groups, understanding civic policy and investment that advances portfolios, economies, and societies is essential. Read more here … 

ACT Political Parties

ACT Advance Parties are TE’s thesis-based solutions for large democracies, to ensure you will be able vote for Advance Policy. 90% of large democracies are collapsing today, so this will likely be a serious problem for most of our readers.

 

 

 

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Threshold Analytics

Next, we use Threshold Analytics within MEMS visualization tools, to diagnose our national problems reliably – so that important problems can be assigned to a change project and corrected with priority.

Our Constitutions Case Study shows a list of every large-population nation’s overall status for Collapse and Advance.

Find this interactive chart and others, on the WAOH Data Science Page

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Summary

With a clear understanding of important measures for every country, computer data science applications (like MEMS) can easily identify opportunities:

• for national Advance
• to correct Collapse, and …
• to set targets that are mathematically assured to advance societies and economies in every nation sustainably.

MEMS’ Panels present causality-colored buttons to observe nations from many points of view.

This simple approach ensures that:

1. harmful or agenda-driven theory, ideology, or “guesswork” are discounted
2. findings are absolutely truthful and important, and
3. TE is a science; so, it is easily and transparently understandable, repeatable, deterministic, and teachable anywhere too

Economies are high-transaction systems, so ensuring your nation has high scores in all of the highest-probability-of-success measures, will ensure success reliably.

The “Methods” that we use at WAOH to explain causality – include ranking by Industry, by Causality, by Nation, by Role, and by a Strategic Planning Approach.

All of this curricula is explained in detail in The Civic Leadership Book of Knowledge (CL-BOK).

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Economics and Civics are a STEM Science

Evidence-based Civic Science is simple, but if we were doing all of this simple addition and division manually – or even with spreadsheets, it creates a mountain of computations that are best understood with data visualization charts as well. MEMS required two years of development, but today it can create all of these sortable lists and visualizations within about one second – on average.

In 1939, the Enigma Machine presented a similar computational puzzle to code breakers in World War II, which Alan Turing had to compute – and then also had to create a computer (a machine called “La Bomba”) as well. So, when we are presented with a similar high computation challenge today, we are leagues ahead from where they were when they started.

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FAQs

Question. Why can we be certain that a causal indicator is actually important – versus a coincidence created by other causal factors?

Answer. A Context Validation Step confirms that our interpretation of the collected data is reasonable – that data is current, accurate, compares advancing countries only, and that its Top-10 and Bottom-10 nations are representative of our conclusions.

Question. Why will highest-probability-of success policies always improve an economy?

Answer.  Economies are high-transaction systems, so by running only the highest-probability-of-success policies, we will always improve economic and social measures over time – with mathematic certainty. We see the same scientific laws at work in busy casinos, in professional baseball’s at-bats computations (SaberMetrics), and there are other similar examples in nature, in manufacturing, etc.

CSQ Research curates all of this new science and computing at our Standard of Reseach Civic Leadership Body of Knowledge (CL-BOK) and Knowledgebase WAOH Econometric Library.  We invite fellow evidence-based researchers and world policy leaders to collaborate at CSQ Research’s evidence-based Scientific Journal – National Leadership Magazine

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Extend your Standard of Research – and Contribution

With Transition Economics, for the first time we can say with assurance which policies and measures are important, which are not important, and which are harmful. 

ALL of the Micro and Macroeconomics curricula, much of business, government, law and finance, are unimportant or harmful, so you want to be heeding instructions here.

Include TE’s evidence-based computation and context-validated approach in your own research. Transition Economics is the first? evidence/observation-based, context-qualified “hard science” for economics, law, finance, business, government, education, and social studies faculties.

An emerging academic Civics Leadership Faculty can use TE to performance manage (govern) all university curricula so as to ensure social benefit, and to drive out ideology and indoctrination in curricula from every faculty.

Civic Leadership uses Transition Economics to sort all of the world’s TEP score results by Method and by Program to find the highest-ranking measures, and then we confirm their causality by validating cause and effect (of policies) in history; during past mature capitalisms; in past periods of inflation or production growth; in times of war; and in collapse and advance today.

The Book is CSQ’s first thesis to introduce The Civic Leadership Book of Knowledge. CL-BOK explains WAOH and also MEMS’ sophisticated computer science and visualization charting and tabling capabilities – available to schools, regulators, and government groups. The WAOH Econometric Library (World at our Hands Report) keeps most of these reports in a simpler format.

WAOH is already the largest context-managed econometric library of its kind in the world today – and MEMS more than doubles its database.

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Harmful Ideologies are Indoctrination, not Education

Compare a science to a non-science like Karl Marx‘s terms and theories; unmeasurable, unscientific, ambiguous, and unreported too. Neoliberalist Wealth Theory (Micro and Macroeconomics), Libertarian Cold Indifference to neighbors, Conservatism, NAZIism, Individualism, Right Left Division, and similar. None of these theory-based curricula are scientific and ALL are only harmful 100%

Terms are important as well. America lost 58,000 sons in the Vietnam War to “Defend Capitalism”. Which capitalism was that? Was it the capitalism that Hoover used to create the Great Depression, or was it the capitalism that FDR used to create the greatest economy and society in history? Vietnam won the Vietnam war; surely they must be “communists” today? No, of course not; these terms are meaningless nonsense (non-science) 100% …

Find Civic Leadership’s Glossary and Standards for Scientific Terms here