Introducing Transition Economics
New Science
“Transition Economics (TE) is a new, easy to learn, game-changing science. Where Economics is old, theoretical, unscientific so non-deterministic, proven false logic and consensus, TE’s evidence‑based approach and quantitative data science is simple and proves advance or collapse “
Productivity – builds strong economies reliably, while Wealth theory’s Micro and Macroeconomics guiding principles, collapse both economies and societies reliably. See this Proof here
In faculties of Economics, Business, Finance, Social, Law, and Government Studies, the teaching of evidence-based science is essential because it ensures a laser focus on humanity’s highest probability of success
Science is measurable, but the curricula that our universities teach is belief-based theory and not quantitatively measurable
Micro and Macroeconomics, Relationship Economics, Environmental Economics, Doughnut Economics; Supply & Demand, Profit & Cost, Labor, scarcity, GDP, scale-up trickledown, finance accounting, open markets, etc., were never confirmed to be indicators of advance or collapse by evidence-based survey and observation
Instead, lessons were assumed to be true, and then logic and math was heaped on top of the theory. Mathematics – became obfuscation
“Economics studies how a horse should move, not how it does move” – citation sought
In humanities, Marx was unscientific – as none of his terms were measurable; Neoliberalism – collapsed every society it touched in history, as it contravened the scientific Constitutions, Laws, and Bills of Rights in the 4,000-year-old Bible that academics dismissed as religion
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 this year as well
Scientific Method calls proven-failed theory “fiction” – for an important reason
Belief-based theories and ideologies are dangerous, expensive, empower poor leadership, and are irresponsible when we have reliable scientific alternatives. Wealth Theory, Marxism, Libertarian Neoliberalism, Individualism, and even Left and Right, are ideologies, narrative, guesswork, and also lying that create broad social collapse internationally
Division is weakness and there is only one “side” – it’s Advance. The Bible’s Book of Revelation storytelling warned us not to “tattoo ourselves” with the brand of economic powers who then subjugate us into owners and slaves as we lived for 1,000-years in the advanceless medieval dark ages
Peer-reviewed curriculums that mandate double-integral calculus to teach theory in the Universities of collapsing nations, are troubling. Calculus is a fine tool, but double integral calculus is an unnecessary complexity that appears in Socioeconomic Grad Schools only to obfuscate fiction and 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, probability-based quality control methods, and some data science automation.
Once you learned a 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
TE’s top-ranked indicators are the causal and important measures that economic development groups can target for improvement, and reliably build advance in any country
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 was not developed within academia and is now Case Studied to be refused reading by eight major international university Grad Schools
As TE is proven to work 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 status quo. See that research article – “Our Academic Mediocracy” and in CSQ’s latest thesis – The Book
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
The TE Method explains that a proper science differs from today’s theory; we discuss the very normal obstacle of “Adoption” further below
Where other econometric approaches build models to predict where the status quo will take us in 10-years, Transition Economics “steers” economies into turnaround actively – as it directs our advance using proven highest-probability-of-success policy. TE also manages transition (changes) from automation or market forces, to ensure safety and minimize social impacts and cost
TE can reliably double economies – as we see in the pie chart of Social Contract Loss
Watch the movie MoneyBall (2011) to understand how game-changing a survey-driven approach like TE is to professional baseball. Casinos too – are widely regarded as fail-safe businesses, and yet this reliable success is not based on winning every transaction. Rather, casinos are successful only when they permit transactions that ensure a higher percentage probability of success for the house. Every seat in a casino has a probability attached to it, and can only fail if insufficient players attend the casino
An economy guarantees unlimited transactions, so mathematically beneficial policy will create success for every nation 100% of the time. Transition Economics allows nations to choose policies that have a higher probability of creating an advancing economy and society
If Economics was a science
If Economics was a science, could we all live sustainably within the prosperous American Dream of the 1960s? And, without social problems and wars? Could we build World Peace reliably? The correct answer to these questions – is Yes
Policy 100% creates social and economic advance and collapse – Edward Tilley, GL-BOK
As an example, consider that America built the strongest economy in history with a high-Social-Contract society back in the 1960s. Today Norway, Ireland, Germany, Italy, Japan, and the Netherlands maintain high social contracts – and all have strong economies today despite a global mature capitalism elsewhere. China is self-sufficient, productive, and continues to advance despite COVID. Clearly, a successful solution of policies exists for any economic era
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 …
- We determine causality using economic measures only – these measures have no social components, like Export per Capita, Trade Balance, GDP-PPP per Cap, Production, …
- Then we ask “Is the indicator causal using social measures only”. There are many causal measures that are social entirely – Social Contract, Maternal Death Rate, Living Wages, Savings, Deaths under age-5, Internet Access, Salaried Males, Longevity, etc …
- 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
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
There are 150 other Causal and Sustainable Indicators and Indexes cataloged and explained within the context of Socio-Economic Planning Methods in the WAOH economic 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 of community and neighbors, respect of husbands, wives, children, and elders; respect of 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 
Making Economics a science is as important as realizing that most countries share the same problems. In large democracies, Right and Left policies are meaningless, and the people who would divide us with this fiction also misreport, omit, and mislead voters too. Unsustainable policies collapse reliably and the mature capitalisms they create are mathematic certainties that are expensive, dangerous, and preventable
The first step in solving any problem is realizing you have a problem – Zig Ziglar
For the philosophers in our midst, realize that any system that supports and teaches meaningless policy is socially irresponsible and that moral policies are those that create sustainable success reliably in any era
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 Global Leadership
Global Leadership’s 100% evidence-based Methods and Programs makes extensive use of Transition Economics
Vote for Transition Economics
Announcing “The Book”
Three years in development, and one of the most important books of any century…
CSQ Research is very proud to announce the “The Book – The Scientific Update of the Bible” – released with The Global Leadership Book of Knowledge (GL-BOK) in August 2021.
The Bible is not religion; rather, it is the second millennial update of Hammurabi’s Constitution and Book of Law – commissioned by great Kings and updated by hundreds of scholars and historians. Near every Constitution in the world is based on the Bible, as assuredly as the Egyptians gave us metric, trigonometry, and great pyramids cast from polymer concrete.
The Bible explains how to build successful societies based on the scientific observation of 3,000 years of civic rise and fall. With 5 billion copies printed in 700 languages, it was civilization’s Owner’s Manual, written in 73-books of “storytelling” for an illiterate population.
Systemic Empathy (Good in actions and in law – in “Lord”), Respect, and Creation – the building and the shepparding of Human Advance. This trinity of behaviours and leadership, are as essential for success in econometric science today as they were 1,700 years ago – when explained using metaphors of the Father, the Son, and the Holy Spirit.
“The Book”, is the 700-year overdue single-book update of ta Biblia – “The Books” in Greek. The Book explains essential lessons in civics, Constitutions, and Rule of Law, alongside contemporary quantitative science that today’s educated and literate populations need.
Religions were more powerful when they were the only voice of a deity, but the Bible says 20-times that God is Good; a behaviour, and a God in the tradition that constitutions have been imbued with the authority of “the Gods” since 1763 BC.
The community gatherings, scientific teaching, and many supports provided by our churches are essential, but we don’t want the religious theory that collapsed us in the middle ages, and we don’t want the secular theory that collapses us today either. What we want is a Scientific Society and the reliable success this can ensure.
The Book teaches us how to double economies, how to build advance reliably – together – without division, without poverty, without wars, and without the guesswork, collapse, and lies that we see in reporting all around us today.
Order your First Edition First Pressing boxed and signed copy of “The Book” here.
An economic science by Observation and not Theory
TE is the first evidence-based and observation-based science for economics, finance, business, social, and political science faculties. By ranking TE Proof Chart amplitudes taken from survey scores in hundreds of nations, we can find an indicator’s importance and probability of success. We sort all results to find the highest-ranking measures, and confirm their causality by validating cause and effects observed in history; during past mature capitalisms, in past periods of inflation or production growth, in times of war, collapse, advance, and similar.
The following table shows 1600+ indicators ranked by TEP Scores for Social Contract, 10-year Change, Trade Balance, Population, High Income Nations, and combinations of these measures too, summarizing 25,000 frequency distribution reports. TEP chart scores are frequency distribution surveys created from 28 to 220 nations using a data science approach similar to Six Sigma and Pareto, which we call the Science of 70%.
Web-based tables allow resorting by column easily (see an example in Data Science below) and this makes the analysis of important indicators and combinations straightforward. The methods we use to determine rank – by Industry, by Causality, by Nation, by Role, and by Planning Approach, can be viewed at WAOH and is curricula explained in Global Leadership.
A simple approach ensures no theory is needed in this evidence-based science, and TE is easily and transparently repeatable and deterministic also. Economies are high-transaction systems, so highest probability decisions can ensure success reliably here.
The Book is CSQ’s first thesis to introduce The Global Leadership Book of Knowledge (GL-BOK), which explains MEMS‘ sophisticated charting and tabling capabilities – which are available to schools, finance, and government groups, and also available at the WAOH Econometric Library (World at our Hands Report) in a simpler form. WAOH is already the largest context-managed econometric library of its kind in the world today – and MEMS more than doubles its database.
How does Social Contract build strong Economies reliably?
In the U.S., starvation wages started (and living wages ceased) when salaries fell below Cost-of-living in the late-1970s
Freedom – in a monetary system, is your reliable Salary minus Cost of Living (CoL). When Salaries fall below CoL, freedom is lost in the new imbalance; when Salary falls to CoL, starvation wages replace Social Contract and economies stall – and these problems can grow unreported and uncorrected for decades in large democracies.
Monetary Freedom permits productivity – and failed freedoms deny productivity and also undermine our basic qualities of good; weakening Social Contract and the social benefit of our decisions – our Common Sense.
If you give any population one million dollars each, sixty years later you will have gross inequity – as a mathematic certainty. Leadership and policy determine economic and social collapse or advance 100% so when government policies permit economies to collapse from this imbalance, countries descend into populism and create a powder-keg that any spark can then turn into revolutions and also world wars.
In today’s global mature capitalism, there were as a fact more conflicts in the past decade (2010-2020) than in any other decade in history – caused by the hardships and lost freedoms created by wealth and income inequity, starvation/slave wages, and high costs of living internationally. 
90% of the planet have no pensions (ILO), salaries have to increase by 100% to catch up with income stagnations that began in the 1970s, and 130-million U.S. citizens live in starvation wages that lose the county $30 billion per day today. Blue-collar workers own modest homes, modest savings, healthcare, and pensions, but 40% of Americans do not have that; they own nothing (0.3% – in the 2010 Federal Reserve Report to the left).
In the 1920s, we saw that the unemployed were lazy, that governments and governance should be small, and that business and finance needed laissez-faire and open markets; politicians who voted for the policies of wealthy sponsors were made rich in preferred stock and real estate deals. Divorce, poverty, and homelessness rose while homeownership fell – to truly alarming levels. These “Neoliberalist” policies proved unsustainable, and it was the corrections of all of these policies in the 1930s and 40s that created the greatest economy and society in history.
Minimize Social Contract Loss in G20s
We forgot all of these hard-learned lessons as our fortunes improved in the 1980s and 90s, until we returned to the policies, Social Contract Losses, and broad collapse of the 1920s again.
Those who cannot remember the past are condemned to repeat it. … George Santayana
Transition Economics’ Proofs and Social Contract Product (SCP) Report explain and prove that strong social contracts build strong economies. Where GDP Reports hide social costs and allow Social Contracts and productivity to diminish, SCP, SC, and Social Contract Loss (SCL) Reports, cast into sharp relief the high cost of an unproductive population.
Social Contract Reports recognize problems and work the solution to pre-empt the collapses that we see today. A 600-page thesis called “End of War” explains “the how”, the solution(s) step-by-step – both national and international. We aren’t the first to do this, of course, CSQ stands in good company alongside the great leadership example left by Hammurabi, Constantine, Aristotle, Henry Ford, Franklin Delano Roosevelt, and a handful of history’s great thinkers and problem solvers. 
Prime Minister Jean Cretien accomplished the largest budget surplus in Canadian History – $1 billion in a single year. This is a reported statistic. Today, the Canadian economy loses close to $3 billion dollars per day to its falling Social Contract; this is an unreported statistic. Now, ask yourself, does it make more common sense to drive austerity measures that will surely shrink a stalled economy further – but achieve a balanced budget, or is it better to drive SEED opportunity investment that has a track record of building a robust economy, building the economic pie larger – and putting a stop to the $3 billion dollars a day in Social Contract Loss? In the U.S., this SC-Loss costs them $30 billion – per day…
First, you grow your economic “Pie” larger, and then, you pay your bills with the considerably larger resources – or through debt forgiveness. Do you imagine that your’s is the only untrained democracy to have their national debts run-up by the Reagan-era’s unsustainable policy of “Low Tax” (Zero Tax for the rich)? Not by a long shot; many countries stand in the same quagmire today. Add COVID19’s economic interruption, and it’s probably a very good time to also discuss debt forgiveness as we did in the 1930s when near-every European leader simply agreed responsibly to write-down huge sums of national debt. Capitalisms created strong Social Contracts better than state-owned productions did, after the fall of monarchies in the early 1900s. Monetary system’s mature into imbalance near the end of a math-driven 60-year cycle. Mature unbalanced economies need active correction by Governments to rebalance the ratios between Salaries and Cost of Living, and to ensure the opportunity is available as needed to relaunch a new monetary system cycle painlessly.
Henry Ford didn’t invent the assembly line, his great contribution to humanity was his reinvention of the Living Wage – during the Second Industrial Revolution (1895-1930).
Severe inequity had stalled world economies for fully two millennia – in the dark and middle ages.
A clear view of what inequality builds can be seen in any chart of 2000-year GDPs per Capita prior to 1890.
Henry Ford’s High Industrial Living Wages created prosperous Economies
Read about the Social Contract Product Report in End of War – Managing Mature Capitalisms and click here to see the SCP Report for 2019
Monetary Systems are Simple
So, what have we learned here? After trading countries outgrew bartering, token-passing was adopted. Coins, then paper money, and finally electronic records and currencies were created. There are 180-national currencies worldwide, not counting thousands of crypto-currencies. In 1920, our last mature capitalism, the value of money was determined by the Gold Standard – based on the Gold Reserves that a nation held. Today, money’s value is based on the creation of Debt (Bonds) and a nation’s ability to pay back that debt – The Dollar Standard.
The Foreign Exchange market sets prices for one-currency against another but it’s a brand new standard too as it was created just in 1971 – just fifty-years-ago. Money is printed from thin-air with Quantitative Easing, when many nations cooperate to print money together, thereby not harming any one nation’s valuations compared to other currencies. Everyone’s paper money value is lowered, but it was based on belief of value to begin with either way.
In short, “money for governments” should not be confused with “money for individuals and small businesses”, as these are two very different discussions – with different rules.
Debt Standard fixed Money “supply”, that isn’t the problem. Rather, it’s the “distribution” of money that advances or collapses a nation 100%
Henry Ford’s Living Wage created our contemporary economies – because for the first time ever in history – money made it into the hands of an entire population. This created Productivity – and as I already mentioned, Productivity builds strong economies reliably.
A nation like the UAE that SEEDs productivity to all of its citizens, has done incredible things. As I write this, a UAE rover is circling MARs.
A country that does not allow money to distribute, with scale-up trickle-down high-inequity Wealth-theory policy, collapses. Every nation loses $4 billion daily – unreported – to Social Contract Loss and this is the reason we highly recommend using SCP Reports rather than meaningless GDP Reports here.
A growing or declining GDP Report does not indicate that a nation is advancing or collapsing – but an SCP Report does
Transition Economics manages Monetary System Cycles
Monetary system cycles begin balanced – and then they imbalance over time.
Can an economy be managed to prevent imbalance? Yes; this is Transition Economic’s primary focus. Monetary system cycles – are manageable in two ways:
a) Governments can actively ensure that the ratio (balance) between reliable salaries and cost-of-living, stays in-balance annually. This is similar to CPI (Consumer Price Index) corrections but more sweeping to include all costs (housing, etc.) and salary levels.
b) Governments can simply allow open markets to unbalance themselves – and then, when social hardships become too great, the government of the day can reset the monetary system cycle to a new balance and a new cycle again. 
Every major nation in Europe had debt written down in the 1930s to 1950s
The Code of Hammurabi and the Bible/Torah (Leviticus 25-26) suggested this second option in an era when monarchs had the authority to make sweeping economic resets easily. A fiftieth-year Jubilee Year was suggested to pre-empt the hardships of a mature monetary system’s 60-year cycle.
“Reset” policies included: Universal Debt forgiveness, wealth redistributions, and a concerted effort to reset the balanced “American Dream” conditions that we should see at the beginning of any new cycle.
“25:10 Consecrate the fiftieth Jubilee Year and proclaim liberty throughout the land… 35. If any of your fellows become poor and are unable to support themselves among you, help them as you would a foreigner and stranger, so they can continue to live among you. 36 Do not take interest or any profit from them … so that they may continue to live among you. 37 You must not lend them money at interest or sell them food at a profit.”
Leviticus 25-26
Uncorrected, Mature Capitalisms are incredibly expensive; we see this here above in Social Contract Loss report Pie Charts. GDP Reports completely hide the productivity losses created when 40%+ of an entire population experiences starvation wages. The average economy loses an unreported $4.3 billion every day today.
When we don’t know what to stand for, we 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 this loss, and ACT Parties – 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 change through social programs and 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 New Deals and Marshall Plan rolled this text 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 proven solutions?
Invariably, it is the poor – and the economy – that suffers, Oligarchs are not personally impacted by their poor decision-making as a point of fact.
Conflicts of interest – must be announced, and individuals with personal investments in unsustainable policy should disclose and exclude themselves from votes in support of their own interests.
Self-promoting is Advertising or Opinion; it should be communicated transparently as such at the very least.
The requirement of scientific proof, and not communally-discussed “logic” arguments, ensures corruptions both intentional and unintentional, can be dismissed.
Where Economics teaches how economies should work, TE teaches how economies actually do work
TE’s WAOH Library showcases Context Methods, evidentiary data, scientific method, and rapidly maturing infographic tools as needed to model economies easily – and are all 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.
Important
Creating a 100% False Peer-Review Rate in faculties of Economics and Business, as we certainly have today, creates a systemic academic mediocracy. An upside-down state that credentials non-experts, while denying credentialing to experts who refuse to follow, memorize, and advance fiction.
Non-experts can never be leaders – as we see in North American governments today; the social and economic costs and risks are just too high.
Low Social Contracts cost each nation $4 billion daily (on average – and $30 billion per day in America), we are all at our lowest production levels since the 1930s, and Mature Capitalisms globally risk the lives of billions for their first occurrence during a mature nuclear age.
More Conflicts than at any time in History
This risk and cost are unnecessary, preventable, and correctable.
Sciences like Transition Economics, are presently being refused reading at not less than seven leading international Economics Faculties and now a CASE STUDY paper “Our Academic Mediocracy” is available.
Academic researchers and leaders should encourage the adoption of scientific and evidence-based curriculum as their highest priority today.
Read the “Adoption” chapter below to understand why academia’s, and any swollen bureaucracy’s, reluctance to change is absolutely normal historically too.
FDR’s Proven Constitution
Franklin Delano Roosevelt created the American Dream and the greatest economy of all time – from a late monetary system cycle and Great Depression very like today’s mature capitalism
FDR was President of the United States from 1933 until his death in 1945 – and can be remembered as the greatest democratic leader in history also. Why?
He proved that the same list of policies and Human Rights that the Bible stipulated, can create reliable success for every nation
FDR’s Second Bill of Rights restored the Bible’s time-tested Human Rights to dozens of Constitutions after slave owners distorted an essential Rule of Law in his own country 150-years earlier. Rights of a good education, rights of homeownership, financial resets, a living wage, was assured in the U.S. by FDR’s policies for 40-years – and would have surely been updated into the U.S. Constitution had FDR lived to see the end of WWII in 1945
ALL nations that updated to FDR Constitutions after World War II, have advancing economies today – with great healthcare, education, high social contracts, six weeks vacation, and good lives today – 70-years later
ALL U.S. “Owner and Slave” Constitution nations (with populations over 15 million because democracies self-correct in small populations) are collapsing today – just as the U.S. has collapsed every 60-years since they exceeded 15-million in 1850
Recommended reading:
Cass Sunstein’s: FDR’s Unfinished Revolution and Why We Need it more than Ever
“FDR’s Administration dramatically changed the definition of Constitutive Commitments from 1923 to 1937 to discredit unempathetic Freedom of Contract and to ensure the protection of law against the evils which menace the health, safety, morals, and welfare of the people”
Advancing vs Collapse-Trending
“Advancing” economies can be confirmed using any four proven measures of an advancing economy. The term “Proven” here, means to say that the measures can be confirmed transparently, in TE Proofs (TEPs and cited multi-national surveys), to indicate a causal influence of economic success. Measures will grow with continued research, but most today’s frequently-used measures include:
Trade Surplus (indicated as “Advancing” in TEP legends)
SCP over 5.5 (sometimes 5.8 – or similar)
Export – per Capita over $8000, or over 55% GDP
Social Contract
The value of Social Contract is there are no financial indicators in this index. There can be no biase in comparisons of trade metrics with this measure
TEP Sheets 
TEP Sheets consolidate all TEP measures for all countries – per indicator. Charts on the right side of a sheet measure High Income Nations only
Probationary Measures:
These measures cannot be used individually as yet – because internal measures of economy are subject to many influences. Housing Bubbles (Usury), Salary to Cost-of-Living Imbalance (Low Social Contract), and other unsustainable policies that create dystopic conditions and stall economies, also report positively in a GDP report. We see this in the “GDP – 2008 to Today” TEP Chart
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GDP-PPP per Capita – Top 30 Nations ($38k in 2017, $40k in 2018) |
GDP – 2008 to Today
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Gross Capital Formation
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GDP-PPP per Capita appears Causal but simple GDP surveys overlook dystopic conditions too. Suggest using this measure only in combination with a high High Housing Index score or high Top-30 Social Contract score
Speaking of social measures, 94% of 70 High-Income nations have unsustainable birth rates today. Some nations lose more than 30% of their populations every 20-years to this today unreported – including Canada, Iceland, and Japan. Double Income Traps drive poverty, starvation wages, suicide, and economic stall, and 30 other serious social problems. These losses are 50% higher than Poland’s population loss in WWII, so encouraging female hiring, and perhaps also the female vote appears to be socially irresponsible policy, or even a Crime Against Humanity or Act of War – in these nations
The Science of 70%
Similar to the Pareto Principle (the 80/20 Rule) and Six Sigma quality control methods, The Science of 70% is used in Transition Economics econometrics to set threshold values for TEP Charts
“Above threshold” is seen to indicate an economy and society that is advancing, and “below threshold” acknowledges that a nation’s statistics show it to likely be in a trend toward collapse (collapse‑trending instead of advancing)
This 70/30 Rule permits TE’s Data Science tools to sift through thousands of 220-nation surveys to find the indicators that suggest high causality (by score and by rank) and are, therefore, a more useful indicator of economic success
Like all terms, Advance and Collapse are made up by and specific to TE. “Advance” indicates that economies are seen to be improving by their causal indicators and “Collapse“ notes that a nation falls short of this binary “Advancing” designation
Individual indicators that are perfectly causal are a small percent, perhaps just 1-in-60 totaling 30 indicators in total, but aggregation techniques permit thousands of causal index measures to be scored, ranked, and a top few to emerge as the optimal measures of advance or collapse
It’s simple, and it’s repeatable, quantitative, and deterministic science too
TE proves that targeting causal policies to improve their scores can build advancing economies in every nation. It may be more clinically correct to say that this approach only creates a higher probability of success, but it can also be accepted that most economies see billions of daily transactions which ensure higher‑probability policies (decisions and programs) amount to certain success in real‑world results
All that a nation needs now to ensure benefit, is to improve causal scores in a majority of social and economic development areas. Obviously, solving problems in just one area will see any benefit over-matched by losses in ten others areas
WAOH
Find our library of TE Proofs and Methods at the World At Our Hands Report
Disambiguated TERMs
The USE CASE for Monetary Systems
Disambiguated terms for Monetary Systems and Government, Business, Finance and Social Policy, are essential to scientific problem-solving and Proofs
Left and Right Policy – and Late Capitalisms
Left and Right is irrelevant; Advance is the only “side” that matters, which means that we have to pay special attention to sustainable and unsustainable policy matters.
Unsustainable policy shrinks economies and societies reliably, so whenever both Left and Right political parties present unsustainable policies, every vote becomes a socially irresponsible vote.
We see this routinely in collapse-trending nations like Canada , Britain, and the United States during these past several federal elections (see the green analysis chart below).
In Late Capitalisms, FDR’s New Deal policies are proven to reset economies very successfully: Nationalism/Culture (Conservative), Full-employment (Conservative), Social Contract (Liberal), Empathy (Liberal), wealth and income distributions (Liberal), debt forgiveness (Liberal), living wages (Liberal), low cost of living (Conservative?), Single Income Families (Conservative) and accessible homeownership with a titling system that made “capital” available to everyone (Liberal).
See CSQ Research’s ACT Party Canada, America, Great Britain, etc. website for an in-depth explanation. FDR’s Second Bill of Rights explained this successful strategy in 1944 and the countries that had his rules added to their Constitution after the war, still live the American Dream with some of the best economies per-capita in the world today – 70-years-later.
By the way, Social Contract is not Socialism (see a disambiguation here).
Social Contract are what soldiers fight for – and have died for, and there can be nothing unpatriotic about running sustainable policies that are proven to rebalance and turn around mature monetary system imbalances.
Find a list of top Social Contract nations on The SCP Report here. Great philosophers and authors like Lord Byron, Tolstoy, Dickens, Rousseau, Hobbes, Orwell, Hugo, and many others, have described the dystopic conditions created in mature, unbalanced monetary systems – when policies like Low-tax, Small government, Open markets, Immigration, Middle-income, Laissez-faire, and low Death-tax (inheritance tax) – created dystopic living conditions and dark-age economies
Big Projects and Hybrid Economies
Transition Economics supports hybrid economies very well. Most large projects in the news today (Mars, Tunnels, etc.) are distractions from the really important projects we need:
- Transition Engineering – the automation and delivery of all of our basic needs – see WorthwhileInc.com, and …
- Good Lives – The transition of token-based monetary economies to hybrid models for our needs versus our wants
At a point, our automation will mean that it won’t make sense to pass tokens for the basic things we need any longer. As our automated food, housing, and other needs are delivered to us via automated assembly lines, tokens will only be needed for things we want. When those things are automated, we don’t need to pass tokens for those things either.
This is the reason that futuristic shows like Star Trek, had no need of money; they had assembly lines, replicator technologies, and interesting lives only made possible because token-passing was unnecessary – as will we too.
Humanity will suffer unnecessarily, and it might obliterate itself too – if these transitions aren’t well-understood and properly planned. This is “Leadership 101” – even though it might seem very advanced or even inaccessible. Rest assured this is only true due to our present very low standards in academia
Climate and the Environment
Transition Economics was developed by an engineer who realized that climate problems are solved through both projects and in operations too. An ounce of prevention is worth a pound of cure, so the design of operations – in mining, forestry, manufacturing, and every other industry, must always consider Climate and Environment as fundamentally important. Heat can be beamed into space, air can be scrubbed, ozone can be produced, plastics can be cleaned from our oceans and beaches, and so on.
Climate is addressable by business Operational SOPs and Special Projects; AND, it never created a world war before.
Social Contract, alternatively, creates a powder-keg that has sparked to ignite a World War reliably – many times in history. By the timings of World Wars I & II, World War III (an extinction-level event) could commence between 2018 and 2028 – if Social Contracts are not rebalanced and tensions are not reduced responsibly and peacefully.
As priorities go, Climate and the Environment must take a distant second priority to Social Contract and Inequality – especially in a mature capitalism like today. Fortunately, there is no reason why we can’t do both things at the same time; anyone who tells you differently is no credible leader.
Large Democracies need FDR’s Social Contract in Constitution
Social problems are worse in large democracies (in populations greater than 15-million). The “FDR-Democracies” are a notable exception; these are the countries that added Roosevelt’s Second Bill of Rights to their constitutions after World War II.
Today, all of these nations have advancing economies, great schools, great healthcare, six weeks vacation, and much lower taxes than the American private-insurance boondoggle.
It’s also true to say that several modern monarchies are running more effectively than large democracies in today’s mature capitalism – in fairness.
The countries that lost the war, won the peace.
Adding to voter confusion is the fact that many “Capitalist” policies which worked well to monetize the enormous opportunity that was available early in a monetary system cycle, will reliably damage social contracts and economies later in the cycle. Today the U.S.’s policies cause it to lose $29 billion a day in exports, and there is nothing conservative nor pragmatic about failing to correct those losses and costs.
I mentioned above that today’s mature capitalism was preceded by more than thirty previous recorded mature capitalisms. The Bible and Code of Hammurabi both discuss strategies similar to FDR’s and yet none of us were trained in how to manage our democracies in school.
Without this Civics training in school, and with no understanding of how to build a sustainable society as explained in Bibles (since our schools turned secular), we must now struggle to understand how to vote to sustain our good lives, according to what we see on television.
This education shortfall was irresponsible in any era – but in a mature nuclear age, it’s dangerous and impermissible really. CSQ Research’s 16-week high-school Civics course, CSQ Common Sense 101 addresses this need and training curriculum
When are new theories and sciences required?
“When observation shows phenomena that are absent in, or inconsistent with, available theories, Economic Theorists look for new theories.”
The American Economic Association website
Transition Economics falls into this category of new theory, and it is also new science too. TE targets proven economic building blocks like Advancing-Economy surveys, Causal Policy, Right Plans, and the democratic reforms needed to ensure economies maintain an optimal highest-probability-of-success globally.
If current status-quo policies worked as theorized, surely America would be the strongest economy by a wide margin, and the international monetary system would not also be seeing a 68% collapse-trending rate across 200+ economies worldwide.
Observation confirms that there must be a fundamental flaw in our current approach to Economics. Transition Economics is a Science – and not “theory”. Where Micro and Macroeconomic theories fail observably, Transition Economics can prove decisions defendably by Scientific Method – in both observations and in statistics.
A new language is needed. Terms like Supply and Demand cannot be proven to create a successful economy, but Social Contract can. Terms like Socialism, Conservative, Liberal – ignore the Socratic Method’s best-practice of disambiguation. They mean as many as ten things, and seldom mean the same thing to anyone.
Ambiguous terms need to be deprecated and replaced by disambiguous terms that can be proven or disproven. Most “isms” are deprecated in TE due to this important need for disambiguation. Socialism – is not given eight meanings; we simply say Ownership of Production by the State, or reward of contribution, or public ownership of property, when that’s what we want to discuss – see a disambiguation of the term “Socialism” here.
Meaningless “Conservative Policy” or “Liberal Policy” is redacted – and replaced with the terms “Sustainable” or “Unsustainable”. It’s not clear that Marxism, Liberalism, etc. are proven-failed fictions and so we don’t permit their misuse any longer. Globally, the world stands at its highest debt levels ever; at its highest conflict-levels ever; populism, extremism, high suicide rates, homelessness, poverty, rent/mortgage/energy poverty rates, low productivity (in low social contract nations), crime, etc. 68% of nations maintain year-over-year negative trade balances and exports-per-capita shortfalls; $32 trillion sit in tax-havens as do many more trillions of dollars in negative interest-bearing bonds.
Current economic approaches, measures, and controls – therefore, require new theories. Economics is not a science presently – which makes it undefendable and requires new approaches that are scientific – as well.
Keynes’ explained that his brilliant economic theories were short-term, and today they stand as an example of theory proven to be unsustainable long-term by observation.
Theory proven incorrect – is fiction – and yet universities the world over spin deep-dives into these micro and macroeconomics theories still. Worldwide banking and monetary system managers carry on with policies proven unsustainable and unscientific, recklessly and blindly reconstructing the dystopia and powder-keg that is an unbalanced global mature capitalism
Data Science and Transition Economics
Data Science is an exciting new field in quantitative computing. Transition Economics develops leading-edge Jupyter Notebook, Python, MatPlotLib, and Javascript Charting & modeling tools like MEMS and WAOH (The World at Our Hands Report – TE’s Econometric Proofs Library). Tools and data visualizations provide new clarity and insight into the reliable management of successful economies and societies. See a sample of some of the highest-scoring of the 15,000 TEP reports that we curate in the tables and slideshow below
TEP Scores
With new tools, come new capabilities. Each TEP chart is a consolidation of 15,000 lines and 60-years of data.
Data science tools now permit us to process 10-TEP charts for 1,500 Indicators and Indexes in under an hour; easily scoring, sorting, and ranking Sustainable and Causal Indicators, separating them from the lion share of meaningless indicators like GDP, Disposable Income, Unemployment, Supply & Demand, Consumption economies, and so on.
High TEP-Score Indicators and Indexes have high amplitudes – a large difference between minimum low and maximum high values. Alternatively, statistics whose TEP surveys have small amplitudes, have little influence on economies. TE Scores average the individual TE amplitudes of all TEP surveys – see a sheet of TEP Charts in the image to the left here 
Are you curious to know which reports are better than the United Nations HDI Report – for example? There are a dozen better indicators – and this technique can help improve future HDI Reports as well
| Code | Description | Topic | SubTopic | Score |
|---|---|---|---|---|
| Fin.Dev.Index.IMF | Financial Industry Index IMF | Financial Sector | Assets | 0.575 |
| Crimes.WB3284 | Crime And Theft Index | Social Protection & Labor | Performance | 0.495 |
| AG.AGR.TRAC.NO | Agricultural machinery, tractors | Environment | Agricultural production | 0.509090909 |
| AG.CON.FERT.PT.ZS | Fertilizer consumption (% of fertilizer production) | Environment | Agricultural production | 0.313 |
| AG.CON.FERT.ZS | Fertilizer consumption (kilograms per hectare of arable land) | Environment | Agricultural production | 0.386 |
| AG.LND.AGRI.K2 | Agricultural land (sq. km) | Environment | Land use | 0.38333333299999994 |
| AG.LND.AGRI.ZS | Agricultural land (% of land area) | Environment | Land use | 0.358333333 |
| AG.LND.ARBL.HA | Arable land (hectares) | Environment | Land use | 0.32916666699999997 |
| AG.LND.ARBL.HA.PC | Arable land (hectares per person) | Environment | Land use | 0.35666666700000005 |
| AG.LND.ARBL.ZS | Arable land (% of land area) | Environment | Land use | 0.41333333299999997 |
| AG.LND.CREL.HA | Land under cereal production (hectares) | Environment | Agricultural production | 0.325833333 |
| AG.LND.CROP.ZS | Permanent cropland (% of land area) | Environment | Land use | 0.418333333 |
| AG.LND.EL5M.RU.K2 | Rural land area where elevation is below 5 meters (sq. km) | Environment | Land use | 0.295 |
| AG.LND.EL5M.RU.ZS | Rural land area where elevation is below 5 meters (% of total land area) | Environment | Land use | 0.36125 |
| AG.LND.EL5M.UR.K2 | Urban land area where elevation is below 5 meters (sq. km) | Environment | Land use | 0.3725 |
| AG.LND.EL5M.UR.ZS | Urban land area where elevation is below 5 meters (% of total land area) | Environment | Land use | 0.42 |
| AG.LND.EL5M.ZS | Land area where elevation is below 5 meters (% of total land area) | Environment | Land use | 0.39875 |
| AG.LND.FRST.K2 | Forest area (sq. km) | Environment | Land use | 0.4175 |
| AG.LND.FRST.ZS | Forest area (% of land area) | Environment | Land use | 0.32916666699999997 |
| AG.LND.IRIG.AG.ZS | Agricultural irrigated land (% of total agricultural land) | Environment | Land use | 0.354 |
| AG.LND.PRCP.MM | Average precipitation in depth (mm per year) | Environment | Land use | 0.33625 |
| AG.LND.TOTL.K2 | Land area (sq. km) | Environment | Land use | 0.41666666700000005 |
| AG.LND.TOTL.RU.K2 | Rural land area (sq. km) | Environment | Land use | 0.28875 |
| AG.LND.TOTL.UR.K2 | Urban land area (sq. km) | Environment | Land use | 0.5 |
| AG.LND.TRAC.ZS | Agricultural machinery, tractors per 100 sq. km of arable land | Environment | Agricultural production | 0.47181818200000003 |
| AG.PRD.CREL.MT | Cereal production (metric tons) | Environment | Agricultural production | 0.3125 |
| AG.PRD.CROP.XD | Crop production index (2004-2006 = 100) | Environment | Agricultural production | 0.46083333299999996 |
| AG.PRD.FOOD.XD | Food production index (2004-2006 = 100) | Environment | Agricultural production | 0.375 |
| AG.PRD.LVSK.XD | Livestock production index (2004-2006 = 100) | Environment | Agricultural production | 0.3325 |
| AG.SRF.TOTL.K2 | Surface area (sq. km) | Environment | Land use | 0.3825 |
| AG.YLD.CREL.KG | Cereal yield (kg per hectare) | Environment | Agricultural production | 0.510833333 |
| BG.GSR.NFSV.GD.ZS | Trade in services (% of GDP) | Economic Policy & Debt | Balance of payments | 0.330833333 |
| BM.GSR.CMCP.ZS | Communications, computer, etc. (% of service imports, BoP) | Economic Policy & Debt | Balance of payments | 0.40583333299999996 |
| BM.GSR.FCTY.CD | Primary income payments (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.556666667 |
| BM.GSR.GNFS.CD | Imports of goods and services (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5741666670000001 |
| BM.GSR.INSF.ZS | Insurance and financial services (% of service imports, BoP) | Economic Policy & Debt | Balance of payments | 0.380833333 |
| BM.GSR.MRCH.CD | Goods imports (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.556666667 |
| BM.GSR.NFSV.CD | Service imports (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.6083333329999999 |
| BM.GSR.ROYL.CD | Charges for the use of intellectual property, payments (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.606666667 |
| BM.GSR.TOTL.CD | Imports of goods, services and primary income (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.57 |
| BM.GSR.TRAN.ZS | Transport services (% of service imports, BoP) | Economic Policy & Debt | Balance of payments | 0.42916666700000006 |
| BM.GSR.TRVL.ZS | Travel services (% of service imports, BoP) | Economic Policy & Debt | Balance of payments | 0.288333333 |
| BM.KLT.DINV.CD.WD | Foreign direct investment, net outflows (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.4875 |
| BM.KLT.DINV.WD.GD.ZS | Foreign direct investment, net outflows (% of GDP) | Economic Policy & Debt | Balance of payments | 0.420833333 |
| BM.TRF.PRVT.CD | Secondary income, other sectors, payments (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.58 |
| BN.CAB.XOKA.CD | Current account balance (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.6025 |
| BN.CAB.XOKA.GD.ZS | Current account balance (% of GDP) | Economic Policy & Debt | Balance of payments | 0.499166667 |
| BN.FIN.TOTL.CD | Net financial account (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.558333333 |
| BN.GSR.FCTY.CD | Net primary income (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.513333333 |
| BN.GSR.GNFS.CD | Net trade in goods and services (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.663333333 |
| BN.GSR.MRCH.CD | Net trade in goods (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5775 |
| BN.KAC.EOMS.CD | Net errors and omissions (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.49166666700000006 |
| BN.KLT.DINV.CD | Foreign direct investment, net (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.530833333 |
| BN.KLT.PTXL.CD | Portfolio Investment, net (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.544166667 |
| BN.RES.INCL.CD | Reserves and related items (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.420833333 |
| BN.TRF.CURR.CD | Net secondary income (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5725 |
| BN.TRF.KOGT.CD | Net capital account (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.505833333 |
| BX.GRT.EXTA.CD.WD | Grants, excluding technical cooperation (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.31 |
| BX.GRT.TECH.CD.WD | Technical cooperation grants (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.24600000000000002 |
| BX.GSR.CCIS.CD | ICT service exports (BoP, current US$) | Infrastructure | Communications | 0.5525 |
| BX.GSR.CCIS.ZS | ICT service exports (% of service exports, BoP) | Infrastructure | Communications | 0.35 |
| BX.GSR.CMCP.ZS | Communications, computer, etc. (% of service exports, BoP) | Economic Policy & Debt | Balance of payments | 0.33833333299999996 |
| BX.GSR.FCTY.CD | Primary income receipts (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5708333329999999 |
| BX.GSR.GNFS.CD | Exports of goods and services (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.594166667 |
| BX.GSR.INSF.ZS | Insurance and financial services (% of service exports, BoP) | Economic Policy & Debt | Balance of payments | 0.355 |
| BX.GSR.MRCH.CD | Goods exports (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.578333333 |
| BX.GSR.NFSV.CD | Service exports (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5016666670000001 |
| BX.GSR.ROYL.CD | Charges for the use of intellectual property, receipts (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.614166667 |
| BX.GSR.TOTL.CD | Exports of goods, services and primary income (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5841666670000001 |
| BX.GSR.TRAN.ZS | Transport services (% of service exports, BoP) | Economic Policy & Debt | Balance of payments | 0.375833333 |
| BX.GSR.TRVL.ZS | Travel services (% of service exports, BoP) | Economic Policy & Debt | Balance of payments | 0.42166666700000005 |
| BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.593333333 |
| BX.KLT.DINV.WD.GD.ZS | Foreign direct investment, net inflows (% of GDP) | Economic Policy & Debt | Balance of payments | 0.430833333 |
| BX.KLT.DREM.CD.DT | Primary income on FDI, payments (current US$) | Economic Policy & Debt | Balance of payments | 0.312 |
| BX.PEF.TOTL.CD.WD | Portfolio equity, net inflows (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.5875 |
| BX.TRF.CURR.CD | Secondary income receipts (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.3575 |
| BX.TRF.PWKR.CD | Personal transfers, receipts (BoP, current US$) | Economic Policy & Debt | Balance of payments | 0.373636364 |
| BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | Economic Policy & Debt | Balance of payments | 0.38333333299999994 |
| BX.TRF.PWKR.DT.GD.ZS | Personal remittances, received (% of GDP) | Economic Policy & Debt | Balance of payments | 0.4525 |
| CM.MKT.INDX.ZG | S&P Global Equity Indices (annual % change) | Financial Sector | Capital markets | 0.279166667 |
| CM.MKT.LCAP.CD | Market capitalization of listed domestic companies (current US$) | Financial Sector | Capital markets | 0.39666666700000003 |
| CM.MKT.LCAP.GD.ZS | Market capitalization of listed domestic companies (% of GDP) | Financial Sector | Capital markets | 0.3025 |
| CM.MKT.LDOM.NO | Listed domestic companies, total | Financial Sector | Capital markets | 0.35166666700000004 |
| CM.MKT.TRAD.CD | Stocks traded, total value (current US$) | Financial Sector | Capital markets | 0.44583333299999994 |
| CM.MKT.TRAD.GD.ZS | Stocks traded, total value (% of GDP) | Financial Sector | Capital markets | 0.368333333 |
| CM.MKT.TRNR | Stocks traded, turnover ratio of domestic shares (%) | Financial Sector | Capital markets | 0.281818182 |
| DC.DAC.AUSL.CD | Net bilateral aid flows from DAC donors, Australia (current US$) | Economic Policy & Debt | Official development assistance | 0.262 |
| DC.DAC.AUTL.CD | Net bilateral aid flows from DAC donors, Austria (current US$) | Economic Policy & Debt | Official development assistance | 0.2 |
| DC.DAC.BELL.CD | Net bilateral aid flows from DAC donors, Belgium (current US$) | Economic Policy & Debt | Official development assistance | 0.275 |
| DC.DAC.CANL.CD | Net bilateral aid flows from DAC donors, Canada (current US$) | Economic Policy & Debt | Official development assistance | 0.258 |
| DC.DAC.CECL.CD | Net bilateral aid flows from DAC donors, European Union institutions (current US$) | Economic Policy & Debt | Official development assistance | 0.235 |
| DC.DAC.CHEL.CD | Net bilateral aid flows from DAC donors, Switzerland (current US$) | Economic Policy & Debt | Official development assistance | 0.26899999999999996 |
| DC.DAC.CZEL.CD | Net bilateral aid flows from DAC donors, Czech Republic (current US$) | Economic Policy & Debt | Official development assistance | 0.19375 |
| DC.DAC.DEUL.CD | Net bilateral aid flows from DAC donors, Germany (current US$) | Economic Policy & Debt | Official development assistance | 0.235 |
| DC.DAC.DNKL.CD | Net bilateral aid flows from DAC donors, Denmark (current US$) | Economic Policy & Debt | Official development assistance | 0.213 |
| DC.DAC.ESPL.CD | Net bilateral aid flows from DAC donors, Spain (current US$) | Economic Policy & Debt | Official development assistance | 0.198 |
| DC.DAC.FINL.CD | Net bilateral aid flows from DAC donors, Finland (current US$) | Economic Policy & Debt | Official development assistance | 0.209 |
| DC.DAC.FRAL.CD | Net bilateral aid flows from DAC donors, France (current US$) | Economic Policy & Debt | Official development assistance | 0.228 |
| DC.DAC.GBRL.CD | Net bilateral aid flows from DAC donors, United Kingdom (current US$) | Economic Policy & Debt | Official development assistance | 0.221 |
| DC.DAC.GRCL.CD | Net bilateral aid flows from DAC donors, Greece (current US$) | Economic Policy & Debt | Official development assistance | 0.243333333 |
| DC.DAC.IRLL.CD | Net bilateral aid flows from DAC donors, Ireland (current US$) | Economic Policy & Debt | Official development assistance | 0.198 |
| DC.DAC.ISLL.CD | Net bilateral aid flows from DAC donors, Iceland (current US$) | Economic Policy & Debt | Official development assistance | 0.1325 |
| DC.DAC.ITAL.CD | Net bilateral aid flows from DAC donors, Italy (current US$) | Economic Policy & Debt | Official development assistance | 0.205 |
| DC.DAC.JPNL.CD | Net bilateral aid flows from DAC donors, Japan (current US$) | Economic Policy & Debt | Official development assistance | 0.34 |
| DC.DAC.KORL.CD | Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | Economic Policy & Debt | Official development assistance | 0.184 |
| DC.DAC.LUXL.CD | Net bilateral aid flows from DAC donors, Luxembourg (current US$) | Economic Policy & Debt | Official development assistance | 0.196 |
| DC.DAC.NLDL.CD | Net bilateral aid flows from DAC donors, Netherlands (current US$) | Economic Policy & Debt | Official development assistance | 0.195 |
| DC.DAC.NORL.CD | Net bilateral aid flows from DAC donors, Norway (current US$) | Economic Policy & Debt | Official development assistance | 0.183 |
| DC.DAC.NZLL.CD | Net bilateral aid flows from DAC donors, New Zealand (current US$) | Economic Policy & Debt | Official development assistance | 0.226 |
| DC.DAC.POLL.CD | Net bilateral aid flows from DAC donors, Poland (current US$) | Economic Policy & Debt | Official development assistance | 0.18375 |
| DC.DAC.PRTL.CD | Net bilateral aid flows from DAC donors, Portugal (current US$) | Economic Policy & Debt | Official development assistance | 0.19 |
| DC.DAC.SVKL.CD | Net bilateral aid flows from DAC donors, Slovak Republic (current US$) | Economic Policy & Debt | Official development assistance | 0.21625 |
| DC.DAC.SVNL.CD | Net bilateral aid flows from DAC donors, Slovenia (current US$) | Economic Policy & Debt | Official development assistance | 0.24375 |
| DC.DAC.SWEL.CD | Net bilateral aid flows from DAC donors, Sweden (current US$) | Economic Policy & Debt | Official development assistance | 0.233 |
| DC.DAC.TOTL.CD | Net bilateral aid flows from DAC donors, Total (current US$) | Economic Policy & Debt | Official development assistance | 0.311 |
| DC.DAC.USAL.CD | Net bilateral aid flows from DAC donors, United States (current US$) | Economic Policy & Debt | Official development assistance | 0.20800000000000002 |
| DT.AMT.BLAT.CD | PPG, bilateral (AMT, current US$) | Economic Policy & Debt | External debt | 0.237 |
| DT.AMT.BLTC.CD | PPG, bilateral concessional (AMT, current US$) | Economic Policy & Debt | External debt | 0.21899999999999997 |
| DT.AMT.DIMF.CD | IMF repurchases (AMT, current US$) | Economic Policy & Debt | External debt | 0.267 |
| DT.AMT.DLTF.CD | Principal repayments on external debt, long-term + IMF (AMT, current US$) | Economic Policy & Debt | External debt | 0.237 |
| DT.AMT.DLXF.CD | Principal repayments on external debt, long-term (AMT, current US$) | Economic Policy & Debt | External debt | 0.23399999999999999 |
| DT.AMT.DPNG.CD | Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$) | Economic Policy & Debt | External debt | 0.261 |
| DT.AMT.DPPG.CD | Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$) | Economic Policy & Debt | External debt | 0.278 |
| DT.AMT.MIBR.CD | PPG, IBRD (AMT, current US$) | Economic Policy & Debt | External debt | 0.184 |
| DT.AMT.MIDA.CD | PPG, IDA (AMT, current US$) | Economic Policy & Debt | External debt | 0.203 |
| DT.AMT.MLAT.CD | PPG, multilateral (AMT, current US$) | Economic Policy & Debt | External debt | 0.248 |
| DT.AMT.MLTC.CD | PPG, multilateral concessional (AMT, current US$) | Economic Policy & Debt | External debt | 0.225 |
| DT.AMT.OFFT.CD | PPG, official creditors (AMT, current US$) | Economic Policy & Debt | External debt | 0.267 |
| DT.AMT.PBND.CD | PPG, bonds (AMT, current US$) | Economic Policy & Debt | External debt | 0.23199999999999998 |
| DT.AMT.PCBK.CD | PPG, commercial banks (AMT, current US$) | Economic Policy & Debt | External debt | 0.226 |
| DT.AMT.PNGB.CD | PNG, bonds (AMT, current US$) | Economic Policy & Debt | External debt | 0.124444444 |
| DT.AMT.PNGC.CD | PNG, commercial banks and other creditors (AMT, current US$) | Economic Policy & Debt | External debt | 0.263 |
| DT.AMT.PROP.CD | PPG, other private creditors (AMT, current US$) | Economic Policy & Debt | External debt | 0.176666667 |
| DT.AMT.PRVT.CD | PPG, private creditors (AMT, current US$) | Economic Policy & Debt | External debt | 0.272 |
| DT.AXA.DPPG.CD | Principal arrears, long-term DOD (US$) | Economic Policy & Debt | External debt | 0.21 |
| DT.AXA.OFFT.CD | Principal arrears, official creditors (current US$) | Economic Policy & Debt | External debt | 0.19699999999999998 |
| DT.AXA.PRVT.CD | Principal arrears, private creditors (current US$) | Economic Policy & Debt | External debt | 0.19699999999999998 |
| DT.AXF.DPPG.CD | Principal forgiven (current US$) | Economic Policy & Debt | External debt | 0.095 |
| DT.AXR.DPPG.CD | Principal rescheduled (current US$) | Economic Policy & Debt | External debt | 0.14800000000000002 |
| DT.AXR.OFFT.CD | Principal rescheduled, official (current US$) | Economic Policy & Debt | External debt | 0.034 |
| DT.AXR.PRVT.CD | Principal rescheduled, private (current US$) | Economic Policy & Debt | External debt | 0.11555555599999999 |
| DT.COM.DPPG.CD | Commitments, public and publicly guaranteed (COM, current US$) | Economic Policy & Debt | External debt | 0.267 |
| DT.COM.MIBR.CD | Commitments, IBRD (COM, current US$) | Economic Policy & Debt | External debt | 0.281 |
| DT.COM.MIDA.CD | Commitments, IDA (COM, current US$) | Economic Policy & Debt | External debt | 0.159 |
| DT.COM.OFFT.CD | Commitments, official creditors (COM, current US$) | Economic Policy & Debt | External debt | 0.278 |
| DT.COM.PRVT.CD | Commitments, private creditors (COM, current US$) | Economic Policy & Debt | External debt | 0.21 |
| DT.CUR.DMAK.ZS | Currency composition of PPG debt, Deutsche mark (%) | Economic Policy & Debt | External debt | 0.23800000000000002 |
| DT.CUR.EURO.ZS | Currency composition of PPG debt, Euro (%) | Economic Policy & Debt | External debt | 0.26888888899999996 |
| DT.CUR.FFRC.ZS | Currency composition of PPG debt, French franc (%) | Economic Policy & Debt | External debt | 0.193 |
| DT.CUR.JYEN.ZS | Currency composition of PPG debt, Japanese yen (%) | Economic Policy & Debt | External debt | 0.21600000000000003 |
| DT.CUR.MULC.ZS | Currency composition of PPG debt, Multiple currencies (%) | Economic Policy & Debt | External debt | 0.213 |
| DT.CUR.OTHC.ZS | Currency composition of PPG debt, all other currencies (%) | Economic Policy & Debt | External debt | 0.23 |
| DT.CUR.SDRW.ZS | Currency composition of PPG debt, SDR (%) | Economic Policy & Debt | External debt | 0.34700000000000003 |
| DT.CUR.SWFR.ZS | Currency composition of PPG debt, Swiss franc (%) | Economic Policy & Debt | External debt | 0.168 |
| DT.CUR.UKPS.ZS | Currency composition of PPG debt, Pound sterling (%) | Economic Policy & Debt | External debt | 0.142 |
| DT.CUR.USDL.ZS | Currency composition of PPG debt, U.S. dollars (%) | Economic Policy & Debt | External debt | 0.23199999999999998 |
| DT.DFR.DPPG.CD | Debt forgiveness or reduction (current US$) | Economic Policy & Debt | External debt | 0.0 |
| DT.DIS.BLAT.CD | PPG, bilateral (DIS, current US$) | Economic Policy & Debt | External debt | 0.198 |
| DT.DIS.BLTC.CD | PPG, bilateral concessional (DIS, current US$) | Economic Policy & Debt | External debt | 0.2 |
| DT.DIS.DIMF.CD | IMF purchases (DIS, current US$) | Economic Policy & Debt | External debt | 0.14300000000000002 |
| DT.DIS.DLTF.CD | Disbursements on external debt, long-term + IMF (DIS, current US$) | Economic Policy & Debt | External debt | 0.263 |
| DT.DIS.DLXF.CD | Disbursements on external debt, long-term (DIS, current US$) | Economic Policy & Debt | External debt | 0.22 |
| DT.DIS.DPNG.CD | Disbursements on external debt, private nonguaranteed (PNG) (DIS, current US$) | Economic Policy & Debt | External debt | 0.265 |
| DT.DIS.DPPG.CD | Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$) | Economic Policy & Debt | External debt | 0.188 |
| DT.DIS.IDAG.CD | IDA grants (current US$) | Economic Policy & Debt | Official development assistance | 0.17300000000000001 |
| DT.DIS.MIBR.CD | PPG, IBRD (DIS, current US$) | Economic Policy & Debt | External debt | 0.258 |
| DT.DIS.MIDA.CD | PPG, IDA (DIS, current US$) | Economic Policy & Debt | External debt | 0.168 |
| DT.DIS.MLAT.CD | PPG, multilateral (DIS, current US$) | Economic Policy & Debt | External debt | 0.28 |
| DT.DIS.MLTC.CD | PPG, multilateral concessional (DIS, current US$) | Economic Policy & Debt | External debt | 0.22399999999999998 |
| DT.DIS.OFFT.CD | PPG, official creditors (DIS, current US$) | Economic Policy & Debt | External debt | 0.24600000000000002 |
| DT.DIS.PBND.CD | PPG, bonds (DIS, current US$) | Economic Policy & Debt | External debt | 0.15 |
| DT.DIS.PCBK.CD | PPG, commercial banks (DIS, current US$) | Economic Policy & Debt | External debt | 0.19699999999999998 |
| DT.DIS.PNGB.CD | PNG, bonds (DIS, current US$) | Economic Policy & Debt | External debt | 0.11375 |
| DT.DIS.PNGC.CD | PNG, commercial banks and other creditors (DIS, current US$) | Economic Policy & Debt | External debt | 0.24 |
| DT.DIS.PROP.CD | PPG, other private creditors (DIS, current US$) | Economic Policy & Debt | External debt | 0.145 |
| DT.DIS.PRVT.CD | PPG, private creditors (DIS, current US$) | Economic Policy & Debt | External debt | 0.159 |
| DT.DOD.ALLC.CD | External debt stocks, concessional (DOD, current US$) | Economic Policy & Debt | External debt | 0.289 |
| DT.DOD.ALLC.ZS | Concessional debt (% of total external debt) | Economic Policy & Debt | External debt | 0.313 |
| DT.DOD.BLAT.CD | PPG, bilateral (DOD, current US$) | Economic Policy & Debt | External debt | 0.298 |
| DT.DOD.BLTC.CD | PPG, bilateral concessional (DOD, current US$) | Economic Policy & Debt | External debt | 0.257 |
| DT.DOD.DECT.CD | External debt stocks, total (DOD, current US$) | Economic Policy & Debt | External debt | 0.203 |
| DT.DOD.DECT.CD.CG | Total change in external debt stocks (current US$) | Economic Policy & Debt | External debt | 0.289 |
| DT.DOD.DECT.EX.ZS | External debt stocks (% of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.223 |
| DT.DOD.DECT.GN.ZS | External debt stocks (% of GNI) | Economic Policy & Debt | External debt | 0.177 |
| DT.DOD.DIMF.CD | Use of IMF credit (DOD, current US$) | Economic Policy & Debt | External debt | 0.17600000000000002 |
| DT.DOD.DLXF.CD | External debt stocks, long-term (DOD, current US$) | Economic Policy & Debt | External debt | 0.196 |
| DT.DOD.DPNG.CD | External debt stocks, private nonguaranteed (PNG) (DOD, current US$) | Economic Policy & Debt | External debt | 0.242 |
| DT.DOD.DPPG.CD | External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) | Economic Policy & Debt | External debt | 0.204 |
| DT.DOD.DSTC.CD | External debt stocks, short-term (DOD, current US$) | Economic Policy & Debt | External debt | 0.217 |
| DT.DOD.DSTC.IR.ZS | Short-term debt (% of total reserves) | Economic Policy & Debt | External debt | 0.166 |
| DT.DOD.DSTC.XP.ZS | Short-term debt (% of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.20600000000000002 |
| DT.DOD.DSTC.ZS | Short-term debt (% of total external debt) | Economic Policy & Debt | External debt | 0.20199999999999999 |
| DT.DOD.MDRI.CD | Debt forgiveness grants (current US$) | Economic Policy & Debt | Official development assistance | 0.045 |
| DT.DOD.MIBR.CD | PPG, IBRD (DOD, current US$) | Economic Policy & Debt | External debt | 0.29600000000000004 |
| DT.DOD.MIDA.CD | PPG, IDA (DOD, current US$) | Economic Policy & Debt | External debt | 0.254 |
| DT.DOD.MLAT.CD | PPG, multilateral (DOD, current US$) | Economic Policy & Debt | External debt | 0.235 |
| DT.DOD.MLAT.ZS | Multilateral debt (% of total external debt) | Economic Policy & Debt | External debt | 0.317 |
| DT.DOD.MLTC.CD | PPG, multilateral concessional (DOD, current US$) | Economic Policy & Debt | External debt | 0.28 |
| DT.DOD.MWBG.CD | IBRD loans and IDA credits (DOD, current US$) | Economic Policy & Debt | External debt | 0.188 |
| DT.DOD.OFFT.CD | PPG, official creditors (DOD, current US$) | Economic Policy & Debt | External debt | 0.257 |
| DT.DOD.PBND.CD | PPG, bonds (DOD, current US$) | Economic Policy & Debt | External debt | 0.19699999999999998 |
| DT.DOD.PCBK.CD | PPG, commercial banks (DOD, current US$) | Economic Policy & Debt | External debt | 0.237 |
| DT.DOD.PNGB.CD | PNG, bonds (DOD, current US$) | Economic Policy & Debt | External debt | 0.165 |
| DT.DOD.PNGC.CD | PNG, commercial banks and other creditors (DOD, current US$) | Economic Policy & Debt | External debt | 0.261 |
| DT.DOD.PROP.CD | PPG, other private creditors (DOD, current US$) | Economic Policy & Debt | External debt | 0.23600000000000002 |
| DT.DOD.PRVS.CD | External debt stocks, long-term private sector (DOD, current US$) | Economic Policy & Debt | External debt | 0.258 |
| DT.DOD.PRVT.CD | PPG, private creditors (DOD, current US$) | Economic Policy & Debt | External debt | 0.213 |
| DT.DOD.PUBS.CD | External debt stocks, long-term public sector (DOD, current US$) | Economic Policy & Debt | External debt | 0.228 |
| DT.DOD.PVLX.CD | Present value of external debt (current US$) | Economic Policy & Debt | External debt | 0.12375 |
| DT.DOD.PVLX.EX.ZS | Present value of external debt (% of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.18125 |
| DT.DOD.PVLX.GN.ZS | Present value of external debt (% of GNI) | Economic Policy & Debt | External debt | 0.1425 |
| DT.DOD.RSDL.CD | Residual, debt stock-flow reconciliation (current US$) | Economic Policy & Debt | External debt | 0.237 |
| DT.DOD.VTOT.CD | External debt stocks, variable rate (DOD, current US$) | Economic Policy & Debt | External debt | 0.276 |
| DT.DSB.DPPG.CD | Debt buyback (current US$) | Economic Policy & Debt | External debt | 0.0 |
| DT.DSF.DPPG.CD | Debt stock reduction (current US$) | Economic Policy & Debt | External debt | 0.034444444 |
| DT.DXR.DPPG.CD | Debt stock rescheduled (current US$) | Economic Policy & Debt | External debt | 0.043333332999999995 |
| DT.GPA.DPPG | Average grace period on new external debt commitments (years) | Economic Policy & Debt | External debt | 0.172 |
| DT.GPA.OFFT | Average grace period on new external debt commitments, official (years) | Economic Policy & Debt | External debt | 0.22699999999999998 |
| DT.GPA.PRVT | Average grace period on new external debt commitments, private (years) | Economic Policy & Debt | External debt | 0.249 |
| DT.GRE.DPPG | Average grant element on new external debt commitments (%) | Economic Policy & Debt | External debt | 0.20600000000000002 |
| DT.GRE.OFFT | Average grant element on new external debt commitments, official (%) | Economic Policy & Debt | External debt | 0.233 |
| DT.GRE.PRVT | Average grant element on new external debt commitments, private (%) | Economic Policy & Debt | External debt | 0.235 |
| DT.INR.DPPG | Average interest on new external debt commitments (%) | Economic Policy & Debt | External debt | 0.245 |
| DT.INR.OFFT | Average interest on new external debt commitments, official (%) | Economic Policy & Debt | External debt | 0.26 |
| DT.INR.PRVT | Average interest on new external debt commitments, private (%) | Economic Policy & Debt | External debt | 0.207 |
| DT.INT.BLAT.CD | PPG, bilateral (INT, current US$) | Economic Policy & Debt | External debt | 0.174 |
| DT.INT.BLTC.CD | PPG, bilateral concessional (INT, current US$) | Economic Policy & Debt | External debt | 0.215 |
| DT.INT.DECT.CD | Interest payments on external debt, total (INT, current US$) | Economic Policy & Debt | External debt | 0.26899999999999996 |
| DT.INT.DECT.EX.ZS | Interest payments on external debt (% of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.205 |
| DT.INT.DECT.GN.ZS | Interest payments on external debt (% of GNI) | Economic Policy & Debt | External debt | 0.28 |
| DT.INT.DIMF.CD | IMF charges (INT, current US$) | Economic Policy & Debt | External debt | 0.235 |
| DT.INT.DLXF.CD | Interest payments on external debt, long-term (INT, current US$) | Economic Policy & Debt | External debt | 0.223 |
| DT.INT.DPNG.CD | Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$) | Economic Policy & Debt | External debt | 0.242 |
| DT.INT.DPPG.CD | Interest payments on external debt, public and publicly guaranteed (PPG) (INT, current US$) | Economic Policy & Debt | External debt | 0.266 |
| DT.INT.DSTC.CD | Interest payments on external debt, short-term (INT, current US$) | Economic Policy & Debt | External debt | 0.251 |
| DT.INT.MIBR.CD | PPG, IBRD (INT, current US$) | Economic Policy & Debt | External debt | 0.198 |
| DT.INT.MIDA.CD | PPG, IDA (INT, current US$) | Economic Policy & Debt | External debt | 0.204 |
| DT.INT.MLAT.CD | PPG, multilateral (INT, current US$) | Economic Policy & Debt | External debt | 0.218 |
| DT.INT.MLTC.CD | PPG, multilateral concessional (INT, current US$) | Economic Policy & Debt | External debt | 0.226 |
| DT.INT.OFFT.CD | PPG, official creditors (INT, current US$) | Economic Policy & Debt | External debt | 0.192 |
| DT.INT.PBND.CD | PPG, bonds (INT, current US$) | Economic Policy & Debt | External debt | 0.212 |
| DT.INT.PCBK.CD | PPG, commercial banks (INT, current US$) | Economic Policy & Debt | External debt | 0.22699999999999998 |
| DT.INT.PNGB.CD | PNG, bonds (INT, current US$) | Economic Policy & Debt | External debt | 0.162 |
| DT.INT.PNGC.CD | PNG, commercial banks and other creditors (INT, current US$) | Economic Policy & Debt | External debt | 0.18 |
| DT.INT.PROP.CD | PPG, other private creditors (INT, current US$) | Economic Policy & Debt | External debt | 0.132 |
| DT.INT.PRVT.CD | PPG, private creditors (INT, current US$) | Economic Policy & Debt | External debt | 0.271 |
| DT.IXA.DPPG.CD | Interest arrears, long-term DOD (US$) | Economic Policy & Debt | External debt | 0.209 |
| DT.IXA.DPPG.CD.CG | Net change in interest arrears (current US$) | Economic Policy & Debt | External debt | 0.177 |
| DT.IXA.OFFT.CD | Interest arrears, official creditors (current US$) | Economic Policy & Debt | External debt | 0.195 |
| DT.IXA.PRVT.CD | Interest arrears, private creditors (current US$) | Economic Policy & Debt | External debt | 0.165 |
| DT.IXF.DPPG.CD | Interest forgiven (current US$) | Economic Policy & Debt | External debt | 0.025 |
| DT.IXR.DPPG.CD | Interest rescheduled (capitalized) (current US$) | Economic Policy & Debt | External debt | 0.067 |
| DT.IXR.OFFT.CD | Interest rescheduled, official (current US$) | Economic Policy & Debt | External debt | 0.052000000000000005 |
| DT.IXR.PRVT.CD | Interest rescheduled, private (current US$) | Economic Policy & Debt | External debt | 0.13125 |
| DT.MAT.DPPG | Average maturity on new external debt commitments (years) | Economic Policy & Debt | External debt | 0.207 |
| DT.MAT.OFFT | Average maturity on new external debt commitments, official (years) | Economic Policy & Debt | External debt | 0.244 |
| DT.MAT.PRVT | Average maturity on new external debt commitments, private (years) | Economic Policy & Debt | External debt | 0.243 |
| DT.NFL.BLAT.CD | Net financial flows, bilateral (NFL, current US$) | Economic Policy & Debt | External debt | 0.205 |
| DT.NFL.BLTC.CD | PPG, bilateral concessional (NFL, current US$) | Economic Policy & Debt | External debt | 0.24 |
| DT.NFL.BOND.CD | Portfolio investment, bonds (PPG + PNG) (NFL, current US$) | Economic Policy & Debt | External debt | 0.22899999999999998 |
| DT.NFL.DECT.CD | Net flows on external debt, total (NFL, current US$) | Economic Policy & Debt | External debt | 0.294 |
| DT.NFL.DLXF.CD | Net flows on external debt, long-term (NFL, current US$) | Economic Policy & Debt | External debt | 0.325 |
| DT.NFL.DPNG.CD | Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$) | Economic Policy & Debt | External debt | 0.257 |
| DT.NFL.DPPG.CD | Net flows on external debt, public and publicly guaranteed (PPG) (NFL, current US$) | Economic Policy & Debt | External debt | 0.331 |
| DT.NFL.DSTC.CD | Net flows on external debt, short-term (NFL, current US$) | Economic Policy & Debt | External debt | 0.21899999999999997 |
| DT.NFL.FAOG.CD | Net official flows from UN agencies, FAO (current US$) | Economic Policy & Debt | Official development assistance | 0.155 |
| DT.NFL.IAEA.CD | Net official flows from UN agencies, IAEA (current US$) | Economic Policy & Debt | Official development assistance | 0.1725 |
| DT.NFL.IFAD.CD | Net official flows from UN agencies, IFAD (current US$) | Economic Policy & Debt | Official development assistance | 0.193 |
| DT.NFL.ILOG.CD | Net official flows from UN agencies, ILO (current US$) | Economic Policy & Debt | Official development assistance | 0.2025 |
| DT.NFL.IMFC.CD | Net financial flows, IMF concessional (NFL, current US$) | Economic Policy & Debt | External debt | 0.129 |
| DT.NFL.IMFN.CD | Net financial flows, IMF nonconcessional (NFL, current US$) | Economic Policy & Debt | External debt | 0.147 |
| DT.NFL.MIBR.CD | Net financial flows, IBRD (NFL, current US$) | Economic Policy & Debt | External debt | 0.32799999999999996 |
| DT.NFL.MIDA.CD | Net financial flows, IDA (NFL, current US$) | Economic Policy & Debt | External debt | 0.256 |
| DT.NFL.MLAT.CD | Net financial flows, multilateral (NFL, current US$) | Economic Policy & Debt | External debt | 0.301 |
| DT.NFL.MLTC.CD | PPG, multilateral concessional (NFL, current US$) | Economic Policy & Debt | External debt | 0.204 |
| DT.NFL.MOTH.CD | Net financial flows, others (NFL, current US$) | Economic Policy & Debt | External debt | 0.23199999999999998 |
| DT.NFL.NEBR.CD | EBRD, private nonguaranteed (NFL, current US$) | Economic Policy & Debt | External debt | 0.0 |
| DT.NFL.NIFC.CD | IFC, private nonguaranteed (NFL, current US$) | Economic Policy & Debt | External debt | 0.193 |
| DT.NFL.OFFT.CD | PPG, official creditors (NFL, current US$) | Economic Policy & Debt | External debt | 0.231 |
| DT.NFL.PBND.CD | PPG, bonds (NFL, current US$) | Economic Policy & Debt | External debt | 0.26 |
| DT.NFL.PCBK.CD | PPG, commercial banks (NFL, current US$) | Economic Policy & Debt | External debt | 0.28600000000000003 |
| DT.NFL.PCBO.CD | Commercial banks and other lending (PPG + PNG) (NFL, current US$) | Economic Policy & Debt | External debt | 0.25 |
| DT.NFL.PNGB.CD | PNG, bonds (NFL, current US$) | Economic Policy & Debt | External debt | 0.127 |
| DT.NFL.PNGC.CD | PNG, commercial banks and other creditors (NFL, current US$) | Economic Policy & Debt | External debt | 0.27899999999999997 |
| DT.NFL.PROP.CD | PPG, other private creditors (NFL, current US$) | Economic Policy & Debt | External debt | 0.20800000000000002 |
| DT.NFL.PRVT.CD | PPG, private creditors (NFL, current US$) | Economic Policy & Debt | External debt | 0.251 |
| DT.NFL.RDBC.CD | Net financial flows, RDB concessional (NFL, current US$) | Economic Policy & Debt | External debt | 0.24 |
| DT.NFL.RDBN.CD | Net financial flows, RDB nonconcessional (NFL, current US$) | Economic Policy & Debt | External debt | 0.23199999999999998 |
| DT.NFL.UNAI.CD | Net official flows from UN agencies, UNAIDS (current US$) | Economic Policy & Debt | Official development assistance | 0.1575 |
| DT.NFL.UNCF.CD | Net official flows from UN agencies, UNICEF (current US$) | Economic Policy & Debt | Official development assistance | 0.268 |
| DT.NFL.UNCR.CD | Net official flows from UN agencies, UNHCR (current US$) | Economic Policy & Debt | Official development assistance | 0.19699999999999998 |
| DT.NFL.UNDP.CD | Net official flows from UN agencies, UNDP (current US$) | Economic Policy & Debt | Official development assistance | 0.318 |
| DT.NFL.UNEC.CD | Net official flows from UN agencies, UNECE (current US$) | Economic Policy & Debt | Official development assistance | 0.0 |
| DT.NFL.UNFP.CD | Net official flows from UN agencies, UNFPA (current US$) | Economic Policy & Debt | Official development assistance | 0.27 |
| DT.NFL.UNPB.CD | Net official flows from UN agencies, UNPBF (current US$) | Economic Policy & Debt | Official development assistance | 0.01875 |
| DT.NFL.UNRW.CD | Net official flows from UN agencies, UNRWA (current US$) | Economic Policy & Debt | Official development assistance | 0.0 |
| DT.NFL.UNTA.CD | Net official flows from UN agencies, UNTA (current US$) | Economic Policy & Debt | Official development assistance | 0.23199999999999998 |
| DT.NFL.WFPG.CD | Net official flows from UN agencies, WFP (current US$) | Economic Policy & Debt | Official development assistance | 0.171 |
| DT.NFL.WHOL.CD | Net official flows from UN agencies, WHO (current US$) | Economic Policy & Debt | Official development assistance | 0.27125 |
| DT.NTR.BLAT.CD | PPG, bilateral (NTR, current US$) | Economic Policy & Debt | External debt | 0.198 |
| DT.NTR.BLTC.CD | PPG, bilateral concessional (NTR, current US$) | Economic Policy & Debt | External debt | 0.205 |
| DT.NTR.DECT.CD | Net transfers on external debt, total (NTR, current US$) | Economic Policy & Debt | External debt | 0.21600000000000003 |
| DT.NTR.DLXF.CD | Net transfers on external debt, long-term (NTR, current US$) | Economic Policy & Debt | External debt | 0.252 |
| DT.NTR.DPNG.CD | Net transfers on external debt, private nonguaranteed (PNG) (NTR, current US$) | Economic Policy & Debt | External debt | 0.302 |
| DT.NTR.DPPG.CD | Net transfers on external debt, public and publicly guaranteed (PPG) (NTR, current US$) | Economic Policy & Debt | External debt | 0.263 |
| DT.NTR.MIBR.CD | PPG, IBRD (NTR, current US$) | Economic Policy & Debt | External debt | 0.276 |
| DT.NTR.MIDA.CD | PPG, IDA (NTR, current US$) | Economic Policy & Debt | External debt | 0.193 |
| DT.NTR.MLAT.CD | PPG, multilateral (NTR, current US$) | Economic Policy & Debt | External debt | 0.282 |
| DT.NTR.MLTC.CD | PPG, multilateral concessional (NTR, current US$) | Economic Policy & Debt | External debt | 0.198 |
| DT.NTR.OFFT.CD | PPG, official creditors (NTR, current US$) | Economic Policy & Debt | External debt | 0.255 |
| DT.NTR.PBND.CD | PPG, bonds (NTR, current US$) | Economic Policy & Debt | External debt | 0.20800000000000002 |
| DT.NTR.PCBK.CD | PPG, commercial banks (NTR, current US$) | Economic Policy & Debt | External debt | 0.285 |
| DT.NTR.PNGB.CD | PNG, bonds (NTR, current US$) | Economic Policy & Debt | External debt | 0.183 |
| DT.NTR.PNGC.CD | PNG, commercial banks and other creditors (NTR, current US$) | Economic Policy & Debt | External debt | 0.27899999999999997 |
| DT.NTR.PROP.CD | PPG, other private creditors (NTR, current US$) | Economic Policy & Debt | External debt | 0.2 |
| DT.NTR.PRVT.CD | PPG, private creditors (NTR, current US$) | Economic Policy & Debt | External debt | 0.249 |
| DT.ODA.ALLD.CD | Net official development assistance and official aid received (current US$) | Economic Policy & Debt | Official development assistance | 0.305 |
| DT.ODA.ALLD.KD | Net official development assistance and official aid received (constant 2013 US$) | Economic Policy & Debt | Official development assistance | 0.303 |
| DT.ODA.OATL.CD | Net official aid received (current US$) | Economic Policy & Debt | Official development assistance | 0.04625 |
| DT.ODA.OATL.KD | Net official aid received (constant 2014 US$) | Economic Policy & Debt | Official development assistance | 0.04625 |
| DT.ODA.ODAT.CD | Net official development assistance received (current US$) | Economic Policy & Debt | Official development assistance | 0.294 |
| DT.ODA.ODAT.GI.ZS | Net ODA received (% of gross capital formation) | Economic Policy & Debt | Official development assistance | 0.32899999999999996 |
| DT.ODA.ODAT.GN.ZS | Net ODA received (% of GNI) | Economic Policy & Debt | Official development assistance | 0.326 |
| DT.ODA.ODAT.KD | Net official development assistance received (constant 2014 US$) | Economic Policy & Debt | Official development assistance | 0.282 |
| DT.ODA.ODAT.MP.ZS | Net ODA received (% of imports of goods, services and primary income) | Economic Policy & Debt | Official development assistance | 0.32 |
| DT.ODA.ODAT.PC.ZS | Net ODA received per capita (current US$) | Economic Policy & Debt | Official development assistance | 0.31 |
| DT.ODA.ODAT.XP.ZS | Net ODA received (% of central government expense) | Economic Policy & Debt | Official development assistance | 0.302 |
| DT.TDS.BLAT.CD | PPG, bilateral (TDS, current US$) | Economic Policy & Debt | External debt | 0.22899999999999998 |
| DT.TDS.BLTC.CD | PPG, bilateral concessional (TDS, current US$) | Economic Policy & Debt | External debt | 0.226 |
| DT.TDS.DECT.CD | Debt service on external debt, total (TDS, current US$) | Economic Policy & Debt | External debt | 0.213 |
| DT.TDS.DECT.EX.ZS | Total debt service (% of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.16699999999999998 |
| DT.TDS.DECT.GN.ZS | Total debt service (% of GNI) | Economic Policy & Debt | External debt | 0.204 |
| DT.TDS.DIMF.CD | IMF repurchases and charges (TDS, current US$) | Economic Policy & Debt | External debt | 0.198 |
| DT.TDS.DLXF.CD | Debt service on external debt, long-term (TDS, current US$) | Economic Policy & Debt | External debt | 0.252 |
| DT.TDS.DPNG.CD | Debt service on external debt, private nonguaranteed (PNG) (TDS, current US$) | Economic Policy & Debt | External debt | 0.265 |
| DT.TDS.DPPF.XP.ZS | Debt service (PPG and IMF only, % of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.17 |
| DT.TDS.DPPG.CD | Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) | Economic Policy & Debt | External debt | 0.272 |
| DT.TDS.DPPG.GN.ZS | Public and publicly guaranteed debt service (% of GNI) | Economic Policy & Debt | External debt | 0.195 |
| DT.TDS.DPPG.XP.ZS | Public and publicly guaranteed debt service (% of exports of goods, services and primary income) | Economic Policy & Debt | External debt | 0.18899999999999997 |
| DT.TDS.MIBR.CD | PPG, IBRD (TDS, current US$) | Economic Policy & Debt | External debt | 0.192 |
| DT.TDS.MIDA.CD | PPG, IDA (TDS, current US$) | Economic Policy & Debt | External debt | 0.19699999999999998 |
| DT.TDS.MLAT.CD | Multilateral debt service (TDS, current US$) | Economic Policy & Debt | External debt | 0.23399999999999999 |
| DT.TDS.MLAT.PG.ZS | Multilateral debt service (% of public and publicly guaranteed debt service) | Economic Policy & Debt | External debt | 0.21899999999999997 |
| DT.TDS.MLTC.CD | PPG, multilateral concessional (TDS, current US$) | Economic Policy & Debt | External debt | 0.26899999999999996 |
| DT.TDS.OFFT.CD | PPG, official creditors (TDS, current US$) | Economic Policy & Debt | External debt | 0.263 |
| DT.TDS.PBND.CD | PPG, bonds (TDS, current US$) | Economic Policy & Debt | External debt | 0.258 |
| DT.TDS.PCBK.CD | PPG, commercial banks (TDS, current US$) | Economic Policy & Debt | External debt | 0.28 |
| DT.TDS.PNGB.CD | PNG, bonds (TDS, current US$) | Economic Policy & Debt | External debt | 0.18 |
| DT.TDS.PNGC.CD | PNG, commercial banks and other creditors (TDS, current US$) | Economic Policy & Debt | External debt | 0.258 |
| DT.TDS.PROP.CD | PPG, other private creditors (TDS, current US$) | Economic Policy & Debt | External debt | 0.213 |
| DT.TDS.PRVT.CD | PPG, private creditors (TDS, current US$) | Economic Policy & Debt | External debt | 0.257 |
| DT.TXR.DPPG.CD | Total amount of debt rescheduled (current US$) | Economic Policy & Debt | External debt | 0.165 |
| DT.UND.DPPG.CD | Undisbursed external debt, total (UND, current US$) | Economic Policy & Debt | External debt | 0.253 |
| DT.UND.OFFT.CD | Undisbursed external debt, official creditors (UND, current US$) | Economic Policy & Debt | External debt | 0.256 |
| DT.UND.PRVT.CD | Undisbursed external debt, private creditors (UND, current US$) | Economic Policy & Debt | External debt | 0.217 |
| EA.PRD.AGRI.KD | Agriculture value added per worker (constant 2010 US$) | Environment | Agricultural production | 0.0 |
| EG.CFT.ACCS.ZS | Access to clean fuels and technologies for cooking (% of population) | Environment | Energy production & use | 0.503 |
| EG.EGY.PRIM.PP.KD | Energy intensity level of primary energy (MJ/$2011 PPP GDP) | Environment | Energy production & use | 0.328333333 |
| EG.ELC.ACCS.RU.ZS | Access to electricity, rural (% of rural population) | Environment | Energy production & use | 0.251666667 |
| EG.ELC.ACCS.UR.ZS | Access to electricity, urban (% of urban population) | Environment | Energy production & use | 0.276666667 |
| EG.ELC.ACCS.ZS | Access to electricity (% of population) | Environment | Energy production & use | 0.2725 |
| EG.ELC.COAL.ZS | Electricity production from coal sources (% of total) | Environment | Energy production & use | 0.303333333 |
| EG.ELC.FOSL.ZS | Electricity production from oil, gas and coal sources (% of total) | Environment | Energy production & use | 0.35666666700000005 |
| EG.ELC.HYRO.ZS | Electricity production from hydroelectric sources (% of total) | Environment | Energy production & use | 0.5216666670000001 |
| EG.ELC.LOSS.ZS | Electric power transmission and distribution losses (% of output) | Environment | Energy production & use | 0.4975 |
| EG.ELC.NGAS.ZS | Electricity production from natural gas sources (% of total) | Environment | Energy production & use | 0.40083333299999996 |
| EG.ELC.NUCL.ZS | Electricity production from nuclear sources (% of total) | Environment | Energy production & use | 0.325833333 |
| EG.ELC.PETR.ZS | Electricity production from oil sources (% of total) | Environment | Energy production & use | 0.4075 |
| EG.ELC.RNEW.ZS | Renewable electricity output (% of total electricity output) | Environment | Energy production & use | 0.40166666700000003 |
| EG.ELC.RNWX.KH | Electricity production from renewable sources, excluding hydroelectric (kWh) | Environment | Energy production & use | 0.430833333 |
| EG.ELC.RNWX.ZS | Electricity production from renewable sources, excluding hydroelectric (% of total) | Environment | Energy production & use | 0.35916666700000005 |
| EG.FEC.RNEW.ZS | Renewable energy consumption (% of total final energy consumption) | Environment | Energy production & use | 0.485833333 |
| EG.GDP.PUSE.KO.PP | GDP per unit of energy use (PPP $ per kg of oil equivalent) | Environment | Energy production & use | 0.345 |
| EG.GDP.PUSE.KO.PP.KD | GDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent) | Environment | Energy production & use | 0.32666666699999997 |
| EG.IMP.CONS.ZS | Energy imports, net (% of energy use) | Environment | Energy production & use | 0.3975 |
| EG.USE.COMM.CL.ZS | Alternative and nuclear energy (% of total energy use) | Environment | Energy production & use | 0.47916666700000005 |
| EG.USE.COMM.FO.ZS | Fossil fuel energy consumption (% of total) | Environment | Energy production & use | 0.439166667 |
| EG.USE.COMM.GD.PP.KD | Energy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP) | Environment | Energy production & use | 0.316666667 |
| EG.USE.CRNW.ZS | Combustible renewables and waste (% of total energy) | Environment | Energy production & use | 0.46166666700000003 |
| EG.USE.ELEC.KH.PC | Electric power consumption (kWh per capita) | Environment | Energy production & use | 0.5625 |
| EG.USE.PCAP.KG.OE | Energy use (kg of oil equivalent per capita) | Environment | Energy production & use | 0.601666667 |
| EN.ATM.CO2E.EG.ZS | CO2 intensity (kg per kg of oil equivalent energy use) | Environment | Emissions | 0.40333333299999996 |
| EN.ATM.CO2E.GF.KT | CO2 emissions from gaseous fuel consumption (kt) | Environment | Emissions | 0.5075 |
| EN.ATM.CO2E.GF.ZS | CO2 emissions from gaseous fuel consumption (% of total) | Environment | Emissions | 0.475 |
| EN.ATM.CO2E.KD.GD | CO2 emissions (kg per 2010 US$ of GDP) | Environment | Emissions | 0.33833333299999996 |
| EN.ATM.CO2E.KT | CO2 emissions (kt) | Environment | Emissions | 0.4875 |
| EN.ATM.CO2E.LF.KT | CO2 emissions from liquid fuel consumption (kt) | Environment | Emissions | 0.47916666700000005 |
| EN.ATM.CO2E.LF.ZS | CO2 emissions from liquid fuel consumption (% of total) | Environment | Emissions | 0.493333333 |
| EN.ATM.CO2E.PC | CO2 emissions (metric tons per capita) | Environment | Emissions | 0.5775 |
| EN.ATM.CO2E.PP.GD | CO2 emissions (kg per PPP $ of GDP) | Environment | Emissions | 0.373333333 |
| EN.ATM.CO2E.PP.GD.KD | CO2 emissions (kg per 2011 PPP $ of GDP) | Environment | Emissions | 0.370833333 |
| EN.ATM.CO2E.SF.KT | CO2 emissions from solid fuel consumption (kt) | Environment | Emissions | 0.45916666700000003 |
| EN.ATM.CO2E.SF.ZS | CO2 emissions from solid fuel consumption (% of total) | Environment | Emissions | 0.42416666700000005 |
| EN.ATM.GHGO.KT.CE | Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.45583333299999995 |
| EN.ATM.GHGO.ZG | Other greenhouse gas emissions (% change from 1990) | Environment | Emissions | 0.337 |
| EN.ATM.GHGT.KT.CE | Total greenhouse gas emissions (kt of CO2 equivalent) | Environment | Emissions | 0.418333333 |
| EN.ATM.GHGT.ZG | Total greenhouse gas emissions (% change from 1990) | Environment | Emissions | 0.473 |
| EN.ATM.HFCG.KT.CE | HFC gas emissions (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.48125 |
| EN.ATM.METH.AG.KT.CE | Agricultural methane emissions (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.3225 |
| EN.ATM.METH.AG.ZS | Agricultural methane emissions (% of total) | Environment | Emissions | 0.446666667 |
| EN.ATM.METH.EG.KT.CE | Methane emissions in energy sector (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.46916666700000004 |
| EN.ATM.METH.EG.ZS | Energy related methane emissions (% of total) | Environment | Emissions | 0.40416666700000003 |
| EN.ATM.METH.KT.CE | Methane emissions (kt of CO2 equivalent) | Environment | Emissions | 0.439166667 |
| EN.ATM.METH.ZG | Methane emissions (% change from 1990) | Environment | Emissions | 0.44 |
| EN.ATM.NOXE.AG.KT.CE | Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.318333333 |
| EN.ATM.NOXE.AG.ZS | Agricultural nitrous oxide emissions (% of total) | Environment | Emissions | 0.3675 |
| EN.ATM.NOXE.EG.KT.CE | Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.418333333 |
| EN.ATM.NOXE.EG.ZS | Nitrous oxide emissions in energy sector (% of total) | Environment | Emissions | 0.480833333 |
| EN.ATM.NOXE.KT.CE | Nitrous oxide emissions (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.4475 |
| EN.ATM.NOXE.ZG | Nitrous oxide emissions (% change from 1990) | Environment | Emissions | 0.364 |
| EN.ATM.PFCG.KT.CE | PFC gas emissions (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.43125 |
| EN.ATM.PM25.MC.M3 | PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) | Environment | Emissions | 0.5 |
| EN.ATM.PM25.MC.ZS | PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) | Environment | Emissions | 0.34875 |
| EN.ATM.SF6G.KT.CE | SF6 gas emissions (thousand metric tons of CO2 equivalent) | Environment | Emissions | 0.515 |
| EN.BIR.THRD.NO | Bird species, threatened | Environment | Biodiversity & protected areas | 0.49 |
| EN.CLC.DRSK.XQ | Disaster risk reduction progress score (1-5 scale; 5=best) | Environment | Land use | 0.16375 |
| EN.CLC.GHGR.MT.CE | GHG net emissions/removals by LUCF (Mt of CO2 equivalent) | Environment | Emissions | 0.327 |
| EN.CLC.MDAT.ZS | Droughts, floods, extreme temperatures (% of population, average 1990-2009) | Environment | Land use | 0.45625 |
| EN.CO2.BLDG.ZS | CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) | Environment | Emissions | 0.355833333 |
| EN.CO2.ETOT.ZS | CO2 emissions from electricity and heat production, total (% of total fuel combustion) | Environment | Emissions | 0.301666667 |
| EN.CO2.MANF.ZS | CO2 emissions from manufacturing industries and construction (% of total fuel combustion) | Environment | Emissions | 0.35 |
| EN.CO2.OTHX.ZS | CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) | Environment | Emissions | 0.355 |
| EN.CO2.TRAN.ZS | CO2 emissions from transport (% of total fuel combustion) | Environment | Emissions | 0.36166666700000005 |
| EN.FSH.THRD.NO | Fish species, threatened | Environment | Biodiversity & protected areas | 0.4175 |
| EN.HPT.THRD.NO | Plant species (higher), threatened | Environment | Biodiversity & protected areas | 0.4375 |
| EN.MAM.THRD.NO | Mammal species, threatened | Environment | Biodiversity & protected areas | 0.51 |
| EN.POP.DNST | Population density (people per sq. km of land area) | Environment | Density & urbanization | 0.316666667 |
| EN.POP.EL5M.RU.ZS | Rural population living in areas where elevation is below 5 meters (% of total population) | Environment | Land use | 0.30375 |
| EN.POP.EL5M.UR.ZS | Urban population living in areas where elevation is below 5 meters (% of total population) | Environment | Land use | 0.315 |
| EN.POP.EL5M.ZS | Population living in areas where elevation is below 5 meters (% of total population) | Environment | Land use | 0.36875 |
| EN.POP.SLUM.UR.ZS | Population living in slums (% of urban population) | Environment | Density & urbanization | 0.15 |
| EN.URB.LCTY | Population in largest city | Environment | Density & urbanization | 0.35333333299999997 |
| EN.URB.LCTY.UR.ZS | Population in the largest city (% of urban population) | Environment | Density & urbanization | 0.4525 |
| EN.URB.MCTY | Population in urban agglomerations of more than 1 million | Environment | Density & urbanization | 0.431666667 |
| EN.URB.MCTY.TL.ZS | Population in urban agglomerations of more than 1 million (% of total population) | Environment | Density & urbanization | 0.433333333 |
| EP.PMP.DESL.CD | Pump price for diesel fuel (US$ per liter) | Infrastructure | Transportation | 0.46625 |
| EP.PMP.SGAS.CD | Pump price for gasoline (US$ per liter) | Infrastructure | Transportation | 0.4875 |
| ER.FSH.AQUA.MT | Aquaculture production (metric tons) | Environment | Agricultural production | 0.39833333299999996 |
| ER.FSH.CAPT.MT | Capture fisheries production (metric tons) | Environment | Agricultural production | 0.3525 |
| ER.FSH.PROD.MT | Total fisheries production (metric tons) | Environment | Agricultural production | 0.3625 |
| ER.GDP.FWTL.M3.KD | Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal) | Environment | Freshwater | 0.555 |
| ER.H2O.FWAG.ZS | Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) | Environment | Freshwater | 0.55875 |
| ER.H2O.FWDM.ZS | Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) | Environment | Freshwater | 0.3225 |
| ER.H2O.FWIN.ZS | Annual freshwater withdrawals, industry (% of total freshwater withdrawal) | Environment | Freshwater | 0.555 |
| ER.H2O.FWTL.K3 | Annual freshwater withdrawals, total (billion cubic meters) | Environment | Freshwater | 0.33875 |
| ER.H2O.FWTL.ZS | Annual freshwater withdrawals, total (% of internal resources) | Environment | Freshwater | 0.31 |
| ER.H2O.INTR.K3 | Renewable internal freshwater resources, total (billion cubic meters) | Environment | Freshwater | 0.33875 |
| ER.H2O.INTR.PC | Renewable internal freshwater resources per capita (cubic meters) | Environment | Freshwater | 0.35 |
| ER.LND.PTLD.ZS | Terrestrial protected areas (% of total land area) | Environment | Biodiversity & protected areas | 0.31625 |
| ER.MRN.PTMR.ZS | Marine protected areas (% of territorial waters) | Environment | Biodiversity & protected areas | 0.3925 |
| ER.PTD.TOTL.ZS | Terrestrial and marine protected areas (% of total territorial area) | Environment | Biodiversity & protected areas | 0.4325 |
| FB.AST.NPER.ZS | Bank nonperforming loans to total gross loans (%) | Financial Sector | Assets | 0.43799999999999994 |
| FB.ATM.TOTL.P5 | Automated teller machines (ATMs) (per 100,000 adults) | Financial Sector | Access | 0.479 |
| FB.BNK.CAPA.ZS | Bank capital to assets ratio (%) | Financial Sector | Assets | 0.42200000000000004 |
| FB.CBK.BRCH.P5 | Commercial bank branches (per 100,000 adults) | Financial Sector | Access | 0.41100000000000003 |
| FB.CBK.BRWR.P3 | Borrowers from commercial banks (per 1,000 adults) | Financial Sector | Access | 0.298888889 |
| FB.CBK.DPTR.P3 | Depositors with commercial banks (per 1,000 adults) | Financial Sector | Access | 0.258888889 |
| FB.POS.TOTL.P5 | Point-of-sale terminals (per 100,000 adults) | Financial Sector | Access | 0.0 |
| FD.AST.PRVT.GD.ZS | Domestic credit to private sector by banks (% of GDP) | Financial Sector | Assets | 0.434166667 |
| FD.RES.LIQU.AS.ZS | Bank liquid reserves to bank assets ratio (%) | Financial Sector | Assets | 0.319 |
| FI.RES.TOTL.CD | Total reserves (includes gold, current US$) | Economic Policy & Debt | Balance of payments | 0.5066666670000001 |
| FI.RES.TOTL.DT.ZS | Total reserves (% of total external debt) | Economic Policy & Debt | Balance of payments | 0.23399999999999999 |
| FI.RES.TOTL.MO | Total reserves in months of imports | Economic Policy & Debt | Balance of payments | 0.4175 |
| FI.RES.XGLD.CD | Total reserves minus gold (current US$) | Economic Policy & Debt | Balance of payments | 0.5025 |
| FM.AST.CGOV.ZG.M3 | Claims on central government (annual growth as % of broad money) | Financial Sector | Assets | 0.270833333 |
| FM.AST.DOMO.ZG.M3 | Claims on other sectors of the domestic economy (annual growth as % of broad money) | Financial Sector | Assets | 0.22888888899999998 |
| FM.AST.DOMS.CN | Net domestic credit (current LCU) | Financial Sector | Assets | 0.375833333 |
| FM.AST.NFRG.CN | Net foreign assets (current LCU) | Financial Sector | Assets | 0.315833333 |
| FM.AST.PRVT.ZG.M3 | Claims on private sector (annual growth as % of broad money) | Financial Sector | Assets | 0.240833333 |
| FM.LBL.BMNY.CN | Broad money (current LCU) | Financial Sector | Monetary holdings (liabilities) | 0.3075 |
| FM.LBL.BMNY.GD.ZS | Broad money (% of GDP) | Financial Sector | Monetary holdings (liabilities) | 0.345 |
| FM.LBL.BMNY.IR.ZS | Broad money to total reserves ratio | Financial Sector | Monetary holdings (liabilities) | 0.296666667 |
| FM.LBL.BMNY.ZG | Broad money growth (annual %) | Financial Sector | Monetary holdings (liabilities) | 0.275 |
| FP.CPI.TOTL | Consumer price index (2010 = 100) | Financial Sector | Exchange rates & prices | 0.34 |
| FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | Financial Sector | Exchange rates & prices | 0.41333333299999997 |
| FP.WPI.TOTL | Wholesale price index (2010 = 100) | Financial Sector | Exchange rates & prices | 0.12 |
| FR.INR.DPST | Deposit interest rate (%) | Financial Sector | Interest rates | 0.29636363600000004 |
| FR.INR.LEND | Lending interest rate (%) | Financial Sector | Interest rates | 0.39916666700000003 |
| FR.INR.LNDP | Interest rate spread (lending rate minus deposit rate, %) | Financial Sector | Interest rates | 0.391 |
| FR.INR.RINR | Real interest rate (%) | Financial Sector | Interest rates | 0.294166667 |
| FR.INR.RISK | Risk premium on lending (lending rate minus treasury bill rate, %) | Financial Sector | Interest rates | 0.28800000000000003 |
| FS.AST.CGOV.GD.ZS | Claims on central government, etc. (% GDP) | Financial Sector | Assets | 0.3675 |
| FS.AST.DOMO.GD.ZS | Claims on other sectors of the domestic economy (% of GDP) | Financial Sector | Assets | 0.251111111 |
| FS.AST.DOMS.GD.ZS | Domestic credit provided by financial sector (% of GDP) | Financial Sector | Assets | 0.47416666700000004 |
| FS.AST.PRVT.GD.ZS | Domestic credit to private sector (% of GDP) | Financial Sector | Assets | 0.4325 |
| GB.XPD.RSDV.GD.ZS | Research and development expenditure (% of GDP) | Infrastructure | Technology | 0.534 |
| GC.AST.TOTL.CN | Net acquisition of financial assets (current LCU) | Public Sector | Government finance | 0.289 |
| GC.AST.TOTL.GD.ZS | Net acquisition of financial assets (% of GDP) | Public Sector | Government finance | 0.33 |
| GC.DOD.TOTL.CN | Central government debt, total (current LCU) | Public Sector | Government finance | 0.2 |
| GC.DOD.TOTL.GD.ZS | Central government debt, total (% of GDP) | Public Sector | Government finance | 0.196 |
| GC.LBL.TOTL.CN | Net incurrence of liabilities, total (current LCU) | Public Sector | Government finance | 0.425 |
| GC.LBL.TOTL.GD.ZS | Net incurrence of liabilities, total (% of GDP) | Public Sector | Government finance | 0.305 |
| GC.NFN.TOTL.CN | Net investment in nonfinancial assets (current LCU) | Public Sector | Government finance | 0.394166667 |
| GC.NFN.TOTL.GD.ZS | Net investment in nonfinancial assets (% of GDP) | Public Sector | Government finance | 0.375833333 |
| GC.NLD.TOTL.CN | Net lending (+) / net borrowing (-) (current LCU) | Public Sector | Government finance | 0.39666666700000003 |
| GC.NLD.TOTL.GD.ZS | Net lending (+) / net borrowing (-) (% of GDP) | Public Sector | Government finance | 0.428333333 |
| GC.REV.GOTR.CN | Grants and other revenue (current LCU) | Public Sector | Government finance | 0.37 |
| GC.REV.GOTR.ZS | Grants and other revenue (% of revenue) | Public Sector | Government finance | 0.33583333299999996 |
| GC.REV.SOCL.CN | Social contributions (current LCU) | Public Sector | Government finance | 0.434166667 |
| GC.REV.SOCL.ZS | Social contributions (% of revenue) | Public Sector | Government finance | 0.423333333 |
| GC.REV.XGRT.CN | Revenue, excluding grants (current LCU) | Public Sector | Government finance | 0.43 |
| GC.REV.XGRT.GD.ZS | Revenue, excluding grants (% of GDP) | Public Sector | Government finance | 0.451666667 |
| GC.TAX.EXPT.CN | Taxes on exports (current LCU) | Public Sector | Government finance | 0.162222222 |
| GC.TAX.EXPT.ZS | Taxes on exports (% of tax revenue) | Public Sector | Government finance | 0.14111111099999998 |
| GC.TAX.GSRV.CN | Taxes on goods and services (current LCU) | Public Sector | Government finance | 0.40333333299999996 |
| GC.TAX.GSRV.RV.ZS | Taxes on goods and services (% of revenue) | Public Sector | Government finance | 0.35416666700000005 |
| GC.TAX.GSRV.VA.ZS | Taxes on goods and services (% value added of industry and services) | Public Sector | Government finance | 0.360833333 |
| GC.TAX.IMPT.CN | Customs and other import duties (current LCU) | Public Sector | Government finance | 0.431 |
| GC.TAX.IMPT.ZS | Customs and other import duties (% of tax revenue) | Public Sector | Government finance | 0.489 |
| GC.TAX.INTT.CN | Taxes on international trade (current LCU) | Public Sector | Government finance | 0.44299999999999995 |
| GC.TAX.INTT.RV.ZS | Taxes on international trade (% of revenue) | Public Sector | Government finance | 0.423 |
| GC.TAX.OTHR.CN | Other taxes (current LCU) | Public Sector | Government finance | 0.325 |
| GC.TAX.OTHR.RV.ZS | Other taxes (% of revenue) | Public Sector | Government finance | 0.358333333 |
| GC.TAX.TOTL.CN | Tax revenue (current LCU) | Public Sector | Government finance | 0.40833333299999997 |
| GC.TAX.TOTL.GD.ZS | Tax revenue (% of GDP) | Public Sector | Government finance | 0.41583333299999997 |
| GC.TAX.YPKG.CN | Taxes on income, profits and capital gains (current LCU) | Public Sector | Government finance | 0.28 |
| GC.TAX.YPKG.RV.ZS | Taxes on income, profits and capital gains (% of revenue) | Public Sector | Government finance | 0.330833333 |
| GC.TAX.YPKG.ZS | Taxes on income, profits and capital gains (% of total taxes) | Public Sector | Government finance | 0.373333333 |
| GC.XPN.COMP.CN | Compensation of employees (current LCU) | Public Sector | Government finance | 0.40666666700000004 |
| GC.XPN.COMP.ZS | Compensation of employees (% of expense) | Public Sector | Government finance | 0.47583333299999997 |
| GC.XPN.GSRV.CN | Goods and services expense (current LCU) | Public Sector | Government finance | 0.33 |
| GC.XPN.GSRV.ZS | Goods and services expense (% of expense) | Public Sector | Government finance | 0.35666666700000005 |
| GC.XPN.INTP.CN | Interest payments (current LCU) | Public Sector | Government finance | 0.35333333299999997 |
| GC.XPN.INTP.RV.ZS | Interest payments (% of revenue) | Public Sector | Government finance | 0.385 |
| GC.XPN.INTP.ZS | Interest payments (% of expense) | Public Sector | Government finance | 0.38333333299999994 |
| GC.XPN.OTHR.CN | Other expense (current LCU) | Public Sector | Government finance | 0.440833333 |
| GC.XPN.OTHR.ZS | Other expense (% of expense) | Public Sector | Government finance | 0.368333333 |
| GC.XPN.TOTL.CN | Expense (current LCU) | Public Sector | Government finance | 0.430833333 |
| GC.XPN.TOTL.GD.ZS | Expense (% of GDP) | Public Sector | Government finance | 0.434166667 |
| GC.XPN.TRFT.CN | Subsidies and other transfers (current LCU) | Public Sector | Government finance | 0.49 |
| GC.XPN.TRFT.ZS | Subsidies and other transfers (% of expense) | Public Sector | Government finance | 0.44583333299999994 |
| IC.BUS.DFRN.XQ | Distance to frontier score (0=lowest performance to 100=frontier) | Private Sector & Trade | Business environment | 0.52375 |
| IC.BUS.DISC.XQ | Business extent of disclosure index (0=less disclosure to 10=more disclosure) | Private Sector & Trade | Business environment | 0.254 |
| IC.BUS.EASE.XQ | Ease of doing business index (1=most business-friendly regulations) | Private Sector & Trade | Business environment | 0.0 |
| IC.BUS.NDNS.ZS | New business density (new registrations per 1,000 people ages 15-64) | Private Sector & Trade | Business environment | 0.425 |
| IC.BUS.NREG | New businesses registered (number) | Private Sector & Trade | Business environment | 0.43125 |
| IC.CRD.INFO.XQ | Depth of credit information index (0=low to 8=high) | Private Sector & Trade | Business environment | 0.37125 |
| IC.CRD.PRVT.ZS | Private credit bureau coverage (% of adults) | Private Sector & Trade | Business environment | 0.397 |
| IC.CRD.PUBL.ZS | Public credit registry coverage (% of adults) | Private Sector & Trade | Business environment | 0.354 |
| IC.CUS.DURS.EX | Average time to clear exports through customs (days) | Private Sector & Trade | Business environment | 0.32375 |
| IC.ELC.DURS | Delay in obtaining an electrical connection (days) | Private Sector & Trade | Business environment | 0.19 |
| IC.ELC.OUTG | Power outages in firms in a typical month (number) | Private Sector & Trade | Business environment | 0.32125 |
| IC.ELC.TIME | Time required to get electricity (days) | Private Sector & Trade | Business environment | 0.39375 |
| IC.EXP.COST.CD | Cost to export (US$ per container) | Private Sector & Trade | Business environment | 0.0 |
| IC.EXP.CSBC.CD | Cost to export, border compliance (US$) | Private Sector & Trade | Trade facilitation | 0.5775 |
| IC.EXP.CSDC.CD | Cost to export, documentary compliance (US$) | Private Sector & Trade | Trade facilitation | 0.56625 |
| IC.EXP.DOCS | Documents to export (number) | Private Sector & Trade | Trade facilitation | 0.0 |
| IC.EXP.DURS | Time to export (days) | Private Sector & Trade | Trade facilitation | 0.0 |
| IC.EXP.TMBC | Time to export, border compliance (hours) | Private Sector & Trade | Trade facilitation | 0.0 |
| IC.EXP.TMDC | Time to export, documentary compliance (hours) | Private Sector & Trade | Trade facilitation | 0.0 |
| IC.FRM.BKWC.ZS | Firms using banks to finance working capital (% of firms) | Private Sector & Trade | Business environment | 0.18125 |
| IC.FRM.BNKS.ZS | Firms using banks to finance investment (% of firms) | Private Sector & Trade | Business environment | 0.165 |
| IC.FRM.BRIB.ZS | Bribery incidence (% of firms experiencing at least one bribe payment request) | Private Sector & Trade | Business environment | 0.285 |
| IC.FRM.CMPU.ZS | Firms competing against unregistered firms (% of firms) | Private Sector & Trade | Business environment | 0.23375 |
| IC.FRM.CORR.ZS | Informal payments to public officials (% of firms) | Private Sector & Trade | Business environment | 0.17375 |
| IC.FRM.CRIM.ZS | Losses due to theft, robbery, vandalism, and arson (% sales) | Private Sector & Trade | Business environment | 0.2875 |
| IC.FRM.DURS | Time required to obtain an operating license (days) | Private Sector & Trade | Business environment | 0.17375 |
| IC.FRM.FEMM.ZS | Firms with female top manager (% of firms) | Private Sector & Trade | Business environment | 0.17 |
| IC.FRM.FEMO.ZS | Firms with female participation in ownership (% of firms) | Private Sector & Trade | Business environment | 0.2175 |
| IC.FRM.FREG.ZS | Firms formally registered when operations started (% of firms) | Private Sector & Trade | Business environment | 0.27 |
| IC.FRM.INFM.ZS | Firms that do not report all sales for tax purposes (% of firms) | Private Sector & Trade | Business environment | 0.18375 |
| IC.FRM.ISOC.ZS | Internationally-recognized quality certification (% of firms) | Private Sector & Trade | Business environment | 0.07625 |
| IC.FRM.OUTG.ZS | Value lost due to electrical outages (% of sales) | Private Sector & Trade | Business environment | 0.18125 |
| IC.FRM.TRNG.ZS | Firms offering formal training (% of firms) | Private Sector & Trade | Business environment | 0.14625 |
| IC.GOV.DURS.ZS | Time spent dealing with the requirements of government regulations (% of senior management time) | Private Sector & Trade | Business environment | 0.15125 |
| IC.IMP.COST.CD | Cost to import (US$ per container) | Private Sector & Trade | Business environment | 0.0 |
| IC.IMP.CSBC.CD | Cost to import, border compliance (US$) | Private Sector & Trade | Trade facilitation | 0.455 |
| IC.IMP.CSDC.CD | Cost to import, documentary compliance (US$) | Private Sector & Trade | Trade facilitation | 0.48 |
| IC.IMP.DOCS | Documents to import (number) | Private Sector & Trade | Trade facilitation | 0.0 |
| IC.IMP.DURS | Time to import (days) | Private Sector & Trade | Trade facilitation | 0.0 |
| IC.IMP.TMBC | Time to import, border compliance (hours) | Private Sector & Trade | Trade facilitation | 0.41875 |
| IC.IMP.TMDC | Time to import, documentary compliance (hours) | Private Sector & Trade | Trade facilitation | 0.46 |
| IC.ISV.DURS | Time to resolve insolvency (years) | Private Sector & Trade | Business environment | 0.33399999999999996 |
| IC.LGL.CRED.XQ | Strength of legal rights index (0=weak to 12=strong) | Private Sector & Trade | Business environment | 0.445 |
| IC.LGL.DURS | Time required to enforce a contract (days) | Private Sector & Trade | Business environment | 0.462 |
| IC.PRP.DURS | Time required to register property (days) | Private Sector & Trade | Business environment | 0.43 |
| IC.PRP.PROC | Procedures to register property (number) | Private Sector & Trade | Business environment | 0.284 |
| IC.REG.COST.PC.FE.ZS | Cost of business start-up procedures, female (% of GNI per capita) | Private Sector & Trade | Business environment | 0.451 |
| IC.REG.COST.PC.MA.ZS | Cost of business start-up procedures, male (% of GNI per capita) | Private Sector & Trade | Business environment | 0.451 |
| IC.REG.COST.PC.ZS | Cost of business start-up procedures (% of GNI per capita) | Private Sector & Trade | Business environment | 0.379 |
| IC.REG.DURS | Time required to start a business (days) | Private Sector & Trade | Business environment | 0.428 |
| IC.REG.DURS.FE | Time required to start a business, female (days) | Private Sector & Trade | Business environment | 0.43 |
| IC.REG.DURS.MA | Time required to start a business, male (days) | Private Sector & Trade | Business environment | 0.414 |
| IC.REG.PROC | Start-up procedures to register a business (number) | Private Sector & Trade | Business environment | 0.19899999999999998 |
| IC.REG.PROC.FE | Start-up procedures to register a business, female (number) | Private Sector & Trade | Business environment | 0.18600000000000003 |
| IC.REG.PROC.MA | Start-up procedures to register a business, male (number) | Private Sector & Trade | Business environment | 0.205 |
| IC.TAX.DURS | Time to prepare and pay taxes (hours) | Private Sector & Trade | Business environment | 0.355 |
| IC.TAX.GIFT.ZS | Firms expected to give gifts in meetings with tax officials (% of firms) | Private Sector & Trade | Business environment | 0.2225 |
| IC.TAX.LABR.CP.ZS | Labor tax and contributions (% of commercial profits) | Private Sector & Trade | Business environment | 0.48700000000000004 |
| IC.TAX.METG | Number of visits or required meetings with tax officials | Private Sector & Trade | Business environment | 0.22625 |
| IC.TAX.OTHR.CP.ZS | Other taxes payable by businesses (% of commercial profits) | Private Sector & Trade | Business environment | 0.418 |
| IC.TAX.PAYM | Tax payments (number) | Private Sector & Trade | Business environment | 0.414 |
| IC.TAX.PRFT.CP.ZS | Profit tax (% of commercial profits) | Private Sector & Trade | Business environment | 0.35200000000000004 |
| IC.TAX.TOTL.CP.ZS | Total tax rate (% of commercial profits) | Private Sector & Trade | Business environment | 0.35700000000000004 |
| IC.WRH.DURS | Time required to build a warehouse (days) | Private Sector & Trade | Business environment | 0.317 |
| IC.WRH.PROC | Procedures to build a warehouse (number) | Private Sector & Trade | Business environment | 0.34299999999999997 |
| IE.PPI.ENGY.CD | Investment in energy with private participation (current US$) | Private Sector & Trade | Private infrastructure investment | 0.231 |
| IE.PPI.TELE.CD | Investment in telecoms with private participation (current US$) | Private Sector & Trade | Private infrastructure investment | 0.0 |
| IE.PPI.TRAN.CD | Investment in transport with private participation (current US$) | Private Sector & Trade | Private infrastructure investment | 0.16125 |
| IE.PPI.WATR.CD | Investment in water and sanitation with private participation (current US$) | Private Sector & Trade | Private infrastructure investment | 0.09375 |
| IP.IDS.NRCT | Industrial design applications, nonresident, by count | Infrastructure | Technology | 0.443636364 |
| IP.IDS.RSCT | Industrial design applications, resident, by count | Infrastructure | Technology | 0.446363636 |
| IP.JRN.ARTC.SC | Scientific and technical journal articles | Infrastructure | Technology | 0.565 |
| IP.PAT.NRES | Patent applications, nonresidents | Infrastructure | Technology | 0.34166666700000003 |
| IP.PAT.RESD | Patent applications, residents | Infrastructure | Technology | 0.45916666700000003 |
| IP.TMK.NRCT | Trademark applications, nonresident, by count | Infrastructure | Technology | 0.40375 |
| IP.TMK.NRES | Trademark applications, direct nonresident | Infrastructure | Technology | 0.51 |
| IP.TMK.RESD | Trademark applications, direct resident | Infrastructure | Technology | 0.415 |
| IP.TMK.RSCT | Trademark applications, resident, by count | Infrastructure | Technology | 0.43 |
| IP.TMK.TOTL | Trademark applications, total | Infrastructure | Technology | 0.495833333 |
| IQ.CPA.BREG.XQ | CPIA business regulatory environment rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.1275 |
| IQ.CPA.DEBT.XQ | CPIA debt policy rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.08 |
| IQ.CPA.ECON.XQ | CPIA economic management cluster average (1=low to 6=high) | Public Sector | Policy & institutions | 0.08375 |
| IQ.CPA.ENVR.XQ | CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.09125 |
| IQ.CPA.FINQ.XQ | CPIA quality of budgetary and financial management rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.08 |
| IQ.CPA.FINS.XQ | CPIA financial sector rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.01875 |
| IQ.CPA.FISP.XQ | CPIA fiscal policy rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.08 |
| IQ.CPA.GNDR.XQ | CPIA gender equality rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.11 |
| IQ.CPA.HRES.XQ | CPIA building human resources rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.07 |
| IQ.CPA.IRAI.XQ | IDA resource allocation index (1=low to 6=high) | Public Sector | Policy & institutions | 0.12875 |
| IQ.CPA.MACR.XQ | CPIA macroeconomic management rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.0875 |
| IQ.CPA.PADM.XQ | CPIA quality of public administration rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.0275 |
| IQ.CPA.PRES.XQ | CPIA equity of public resource use rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.04 |
| IQ.CPA.PROP.XQ | CPIA property rights and rule-based governance rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.08 |
| IQ.CPA.PROT.XQ | CPIA social protection rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.08625 |
| IQ.CPA.PUBS.XQ | CPIA public sector management and institutions cluster average (1=low to 6=high) | Public Sector | Policy & institutions | 0.1 |
| IQ.CPA.REVN.XQ | CPIA efficiency of revenue mobilization rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.0 |
| IQ.CPA.SOCI.XQ | CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | Public Sector | Policy & institutions | 0.10625 |
| IQ.CPA.STRC.XQ | CPIA structural policies cluster average (1=low to 6=high) | Public Sector | Policy & institutions | 0.165 |
| IQ.CPA.TRAD.XQ | CPIA trade rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.015 |
| IQ.CPA.TRAN.XQ | CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | Public Sector | Policy & institutions | 0.09 |
| IQ.SCI.MTHD | Methodology assessment of statistical capacity (scale 0 - 100) | Public Sector | Policy & institutions | 0.223333333 |
| IQ.SCI.OVRL | Overall level of statistical capacity (scale 0 - 100) | Public Sector | Policy & institutions | 0.203333333 |
| IQ.SCI.PRDC | Periodicity and timeliness assessment of statistical capacity (scale 0 - 100) | Public Sector | Policy & institutions | 0.19 |
| IQ.SCI.SRCE | Source data assessment of statistical capacity (scale 0 - 100) | Public Sector | Policy & institutions | 0.12666666699999998 |
| IQ.WEF.CUST.XQ | Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) | Infrastructure | Transportation | 0.515 |
| IQ.WEF.PORT.XQ | Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) | Infrastructure | Transportation | 0.51 |
| IS.AIR.DPRT | Air transport, registered carrier departures worldwide | Infrastructure | Transportation | 0.40833333299999997 |
| IS.AIR.GOOD.MT.K1 | Air transport, freight (million ton-km) | Infrastructure | Transportation | 0.44833333299999995 |
| IS.AIR.PSGR | Air transport, passengers carried | Infrastructure | Transportation | 0.433333333 |
| IS.RRS.GOOD.MT.K6 | Railways, goods transported (million ton-km) | Infrastructure | Transportation | 0.37222222200000005 |
| IS.RRS.PASG.KM | Railways, passengers carried (million passenger-km) | Infrastructure | Transportation | 0.503 |
| IS.RRS.TOTL.KM | Rail lines (total route-km) | Infrastructure | Transportation | 0.42916666700000006 |
| IS.SHP.GCNW.XQ | Liner shipping connectivity index (maximum value in 2004 = 100) | Infrastructure | Transportation | 0.455 |
| IS.SHP.GOOD.TU | Container port traffic (TEU: 20 foot equivalent units) | Infrastructure | Transportation | 0.44299999999999995 |
| IT.CEL.SETS | Mobile cellular subscriptions | Infrastructure | Communications | 0.358333333 |
| IT.CEL.SETS.P2 | Mobile cellular subscriptions (per 100 people) | Infrastructure | Communications | 0.5033333329999999 |
| IT.MLT.MAIN | Fixed telephone subscriptions | Infrastructure | Communications | 0.48166666700000005 |
| IT.MLT.MAIN.P2 | Fixed telephone subscriptions (per 100 people) | Infrastructure | Communications | 0.46416666700000003 |
| IT.NET.BBND | Fixed broadband subscriptions | Infrastructure | Communications | 0.511 |
| IT.NET.BBND.P2 | Fixed broadband subscriptions (per 100 people) | Infrastructure | Communications | 0.583 |
| IT.NET.SECR | Secure Internet servers | Infrastructure | Communications | 0.55625 |
| IT.NET.SECR.P6 | Secure Internet servers (per 1 million people) | Infrastructure | Communications | 0.5870000000000001 |
| IT.NET.USER.ZS | Individuals using the Internet (% of population) | Infrastructure | Communications | 0.5658333329999999 |
| LP.EXP.DURS.MD | Lead time to export, median case (days) | Private Sector & Trade | Trade facilitation | 0.29125 |
| LP.IMP.DURS.MD | Lead time to import, median case (days) | Private Sector & Trade | Trade facilitation | 0.2575 |
| LP.LPI.CUST.XQ | Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.50375 |
| LP.LPI.INFR.XQ | Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.48625 |
| LP.LPI.ITRN.XQ | Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.5375 |
| LP.LPI.LOGS.XQ | Logistics performance index: Competence and quality of logistics services (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.5625 |
| LP.LPI.OVRL.XQ | Logistics performance index: Overall (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.495 |
| LP.LPI.TIME.XQ | Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.49125 |
| LP.LPI.TRAC.XQ | Logistics performance index: Ability to track and trace consignments (1=low to 5=high) | Private Sector & Trade | Trade facilitation | 0.52625 |
| MS.MIL.MPRT.KD | Arms imports (SIPRI trend indicator values) | Public Sector | Defense & arms trade | 0.3925 |
| MS.MIL.TOTL.P1 | Armed forces personnel, total | Public Sector | Defense & arms trade | 0.35083333299999997 |
| MS.MIL.TOTL.TF.ZS | Armed forces personnel (% of total labor force) | Public Sector | Defense & arms trade | 0.41 |
| MS.MIL.XPND.CN | Military expenditure (current LCU) | Public Sector | Defense & arms trade | 0.281666667 |
| MS.MIL.XPND.GD.ZS | Military expenditure (% of GDP) | Public Sector | Defense & arms trade | 0.39 |
| MS.MIL.XPND.ZS | Military expenditure (% of central government expenditure) | Public Sector | Defense & arms trade | 0.45 |
| MS.MIL.XPRT.KD | Arms exports (SIPRI trend indicator values) | Public Sector | Defense & arms trade | 0.358181818 |
| NE.CON.GOVT.CD | General government final consumption expenditure (current US$) | Economic Policy & Debt | National accounts | 0.5925 |
| NE.CON.GOVT.CN | General government final consumption expenditure (current LCU) | Economic Policy & Debt | National accounts | 0.3825 |
| NE.CON.GOVT.KD | General government final consumption expenditure (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.580833333 |
| NE.CON.GOVT.KD.ZG | General government final consumption expenditure (annual % growth) | Economic Policy & Debt | National accounts | 0.330833333 |
| NE.CON.GOVT.KN | General government final consumption expenditure (constant LCU) | Economic Policy & Debt | National accounts | 0.381666667 |
| NE.CON.GOVT.ZS | General government final consumption expenditure (% of GDP) | Economic Policy & Debt | National accounts | 0.4475 |
| NE.CON.PETC.CD | Household final consumption expenditure, etc. (current US$) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.PETC.CN | Household final consumption expenditure, etc. (current LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.PETC.KD | Household final consumption expenditure, etc. (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.PETC.KD.ZG | Household final consumption expenditure, etc. (annual % growth) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.PETC.KN | Household final consumption expenditure, etc. (constant LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.PETC.ZS | Household final consumption expenditure, etc. (% of GDP) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.PRVT.CD | Household final consumption expenditure (current US$) | Economic Policy & Debt | National accounts | 0.5066666670000001 |
| NE.CON.PRVT.CN | Household final consumption expenditure (current LCU) | Economic Policy & Debt | National accounts | 0.40333333299999996 |
| NE.CON.PRVT.KD | Household final consumption expenditure (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.47583333299999997 |
| NE.CON.PRVT.KD.ZG | Household final consumption expenditure (annual % growth) | Economic Policy & Debt | National accounts | 0.3325 |
| NE.CON.PRVT.KN | Household final consumption expenditure (constant LCU) | Economic Policy & Debt | National accounts | 0.378333333 |
| NE.CON.PRVT.PC.KD | Household final consumption expenditure per capita (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.5625 |
| NE.CON.PRVT.PC.KD.ZG | Household final consumption expenditure per capita growth (annual %) | Economic Policy & Debt | National accounts | 0.335 |
| NE.CON.PRVT.PP.CD | Household final consumption expenditure, PPP (current international $) | Economic Policy & Debt | Purchasing power parity | 0.520833333 |
| NE.CON.PRVT.PP.KD | Household final consumption expenditure, PPP (constant 2011 international $) | Economic Policy & Debt | Purchasing power parity | 0.425 |
| NE.CON.TETC.CD | Final consumption expenditure, etc. (current US$) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.TETC.CN | Final consumption expenditure, etc. (current LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.TETC.KD | Final consumption expenditure, etc. (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.TETC.KD.ZG | Final consumption expenditure, etc. (annual % growth) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.TETC.KN | Final consumption expenditure, etc. (constant LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.TETC.ZS | Final consumption expenditure, etc. (% of GDP) | Economic Policy & Debt | National accounts | 0.0 |
| NE.CON.TOTL.CD | Final consumption expenditure (current US$) | Economic Policy & Debt | National accounts | 0.539166667 |
| NE.CON.TOTL.CN | Final consumption expenditure (current LCU) | Economic Policy & Debt | National accounts | 0.394166667 |
| NE.CON.TOTL.KD | Final consumption expenditure (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.504166667 |
| NE.CON.TOTL.KN | Final consumption expenditure (constant LCU) | Economic Policy & Debt | National accounts | 0.375 |
| NE.DAB.DEFL.ZS | Gross national expenditure deflator (base year varies by country) | Economic Policy & Debt | National accounts | 0.47833333299999997 |
| NE.DAB.TOTL.CD | Gross national expenditure (current US$) | Economic Policy & Debt | National accounts | 0.525833333 |
| NE.DAB.TOTL.CN | Gross national expenditure (current LCU) | Economic Policy & Debt | National accounts | 0.4225 |
| NE.DAB.TOTL.KD | Gross national expenditure (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.5066666670000001 |
| NE.DAB.TOTL.KN | Gross national expenditure (constant LCU) | Economic Policy & Debt | National accounts | 0.3825 |
| NE.DAB.TOTL.ZS | Gross national expenditure (% of GDP) | Economic Policy & Debt | National accounts | 0.596666667 |
| NE.EXP.GNFS.CD | Exports of goods and services (current US$) | Economic Policy & Debt | National accounts | 0.610833333 |
| NE.EXP.GNFS.CN | Exports of goods and services (current LCU) | Economic Policy & Debt | National accounts | 0.46666666700000003 |
| NE.EXP.GNFS.KD | Exports of goods and services (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.605 |
| NE.EXP.GNFS.KD.ZG | Exports of goods and services (annual % growth) | Economic Policy & Debt | National accounts | 0.40416666700000003 |
| NE.EXP.GNFS.KN | Exports of goods and services (constant LCU) | Economic Policy & Debt | National accounts | 0.495833333 |
| NE.EXP.GNFS.ZS | Exports of goods and services (% of GDP) | Economic Policy & Debt | National accounts | 0.5508333329999999 |
| NE.GDI.FPRV.CN | Gross fixed capital formation, private sector (current LCU) | Economic Policy & Debt | National accounts | 0.145 |
| NE.GDI.FPRV.ZS | Gross fixed capital formation, private sector (% of GDP) | Economic Policy & Debt | National accounts | 0.19899999999999998 |
| NE.GDI.FTOT.CD | Gross fixed capital formation (current US$) | Economic Policy & Debt | National accounts | 0.5575 |
| NE.GDI.FTOT.CN | Gross fixed capital formation (current LCU) | Economic Policy & Debt | National accounts | 0.376666667 |
| NE.GDI.FTOT.KD | Gross fixed capital formation (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.513333333 |
| NE.GDI.FTOT.KD.ZG | Gross fixed capital formation (annual % growth) | Economic Policy & Debt | National accounts | 0.32 |
| NE.GDI.FTOT.KN | Gross fixed capital formation (constant LCU) | Economic Policy & Debt | National accounts | 0.3725 |
| NE.GDI.FTOT.ZS | Gross fixed capital formation (% of GDP) | Economic Policy & Debt | National accounts | 0.433333333 |
| NE.GDI.STKB.CD | Changes in inventories (current US$) | Economic Policy & Debt | National accounts | 0.48166666700000005 |
| NE.GDI.STKB.CN | Changes in inventories (current LCU) | Economic Policy & Debt | National accounts | 0.375833333 |
| NE.GDI.STKB.KN | Changes in inventories (constant LCU) | Economic Policy & Debt | National accounts | 0.16699999999999998 |
| NE.GDI.TOTL.CD | Gross capital formation (current US$) | Economic Policy & Debt | National accounts | 0.54 |
| NE.GDI.TOTL.CN | Gross capital formation (current LCU) | Economic Policy & Debt | National accounts | 0.39833333299999996 |
| NE.GDI.TOTL.KD | Gross capital formation (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.548333333 |
| NE.GDI.TOTL.KD.ZG | Gross capital formation (annual % growth) | Economic Policy & Debt | National accounts | 0.290833333 |
| NE.GDI.TOTL.KN | Gross capital formation (constant LCU) | Economic Policy & Debt | National accounts | 0.375 |
| NE.GDI.TOTL.ZS | Gross capital formation (% of GDP) | Economic Policy & Debt | National accounts | 0.40583333299999996 |
| NE.IMP.GNFS.CD | Imports of goods and services (current US$) | Economic Policy & Debt | National accounts | 0.5775 |
| NE.IMP.GNFS.CN | Imports of goods and services (current LCU) | Economic Policy & Debt | National accounts | 0.42416666700000005 |
| NE.IMP.GNFS.KD | Imports of goods and services (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.586666667 |
| NE.IMP.GNFS.KD.ZG | Imports of goods and services (annual % growth) | Economic Policy & Debt | National accounts | 0.3875 |
| NE.IMP.GNFS.KN | Imports of goods and services (constant LCU) | Economic Policy & Debt | National accounts | 0.47833333299999997 |
| NE.IMP.GNFS.ZS | Imports of goods and services (% of GDP) | Economic Policy & Debt | National accounts | 0.380833333 |
| NE.RSB.GNFS.CD | External balance on goods and services (current US$) | Economic Policy & Debt | National accounts | 0.683333333 |
| NE.RSB.GNFS.CN | External balance on goods and services (current LCU) | Economic Policy & Debt | National accounts | 0.6625 |
| NE.RSB.GNFS.KN | External balance on goods and services (constant LCU) | Economic Policy & Debt | National accounts | 0.601666667 |
| NE.RSB.GNFS.ZS | External balance on goods and services (% of GDP) | Economic Policy & Debt | National accounts | 0.5525 |
| NE.TRD.GNFS.ZS | Trade (% of GDP) | Economic Policy & Debt | National accounts | 0.5216666670000001 |
| NV.AGR.TOTL.CD | Agriculture, value added (current US$) | Economic Policy & Debt | National accounts | 0.375833333 |
| NV.AGR.TOTL.CN | Agriculture, value added (current LCU) | Economic Policy & Debt | National accounts | 0.3925 |
| NV.AGR.TOTL.KD | Agriculture, value added (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.33916666700000003 |
| NV.AGR.TOTL.KD.ZG | Agriculture, value added (annual % growth) | Economic Policy & Debt | National accounts | 0.3725 |
| NV.AGR.TOTL.KN | Agriculture, value added (constant LCU) | Economic Policy & Debt | National accounts | 0.369166667 |
| NV.AGR.TOTL.ZS | Agriculture, value added (% of GDP) | Economic Policy & Debt | National accounts | 0.519166667 |
| NV.IND.MANF.CD | Manufacturing, value added (current US$) | Economic Policy & Debt | National accounts | 0.496666667 |
| NV.IND.MANF.CN | Manufacturing, value added (current LCU) | Economic Policy & Debt | National accounts | 0.40833333299999997 |
| NV.IND.MANF.KD | Manufacturing, value added (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.573333333 |
| NV.IND.MANF.KD.ZG | Manufacturing, value added (annual % growth) | Economic Policy & Debt | National accounts | 0.328333333 |
| NV.IND.MANF.KN | Manufacturing, value added (constant LCU) | Economic Policy & Debt | National accounts | 0.434166667 |
| NV.IND.MANF.ZS | Manufacturing, value added (% of GDP) | Economic Policy & Debt | National accounts | 0.44 |
| NV.IND.TOTL.CD | Industry, value added (current US$) | Economic Policy & Debt | National accounts | 0.518333333 |
| NV.IND.TOTL.CN | Industry, value added (current LCU) | Economic Policy & Debt | National accounts | 0.40666666700000004 |
| NV.IND.TOTL.KD | Industry, value added (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.505833333 |
| NV.IND.TOTL.KD.ZG | Industry, value added (annual % growth) | Economic Policy & Debt | National accounts | 0.325833333 |
| NV.IND.TOTL.KN | Industry, value added (constant LCU) | Economic Policy & Debt | National accounts | 0.373333333 |
| NV.IND.TOTL.ZS | Industry, value added (% of GDP) | Economic Policy & Debt | National accounts | 0.3875 |
| NV.MNF.CHEM.ZS.UN | Chemicals (% of value added in manufacturing) | Economic Policy & Debt | National accounts | 0.36416666700000005 |
| NV.MNF.FBTO.ZS.UN | Food, beverages and tobacco (% of value added in manufacturing) | Economic Policy & Debt | National accounts | 0.590833333 |
| NV.MNF.MTRN.ZS.UN | Machinery and transport equipment (% of value added in manufacturing) | Economic Policy & Debt | National accounts | 0.5016666670000001 |
| NV.MNF.OTHR.ZS.UN | Other manufacturing (% of value added in manufacturing) | Economic Policy & Debt | National accounts | 0.38833333299999995 |
| NV.MNF.TXTL.ZS.UN | Textiles and clothing (% of value added in manufacturing) | Economic Policy & Debt | National accounts | 0.4625 |
| NV.SRV.TETC.CD | Services, etc., value added (current US$) | Economic Policy & Debt | National accounts | 0.0 |
| NV.SRV.TETC.CN | Services, etc., value added (current LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NV.SRV.TETC.KD | Services, etc., value added (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.0 |
| NV.SRV.TETC.KD.ZG | Services, etc., value added (annual % growth) | Economic Policy & Debt | National accounts | 0.0 |
| NV.SRV.TETC.KN | Services, etc., value added (constant LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NV.SRV.TETC.ZS | Services, etc., value added (% of GDP) | Economic Policy & Debt | National accounts | 0.0 |
| NY.ADJ.AEDU.CD | Adjusted savings: education expenditure (current US$) | Economic Policy & Debt | National accounts | 0.585833333 |
| NY.ADJ.AEDU.GN.ZS | Adjusted savings: education expenditure (% of GNI) | Economic Policy & Debt | National accounts | 0.45583333299999995 |
| NY.ADJ.DCO2.CD | Adjusted savings: carbon dioxide damage (current US$) | Economic Policy & Debt | National accounts | 0.563333333 |
| NY.ADJ.DCO2.GN.ZS | Adjusted savings: carbon dioxide damage (% of GNI) | Economic Policy & Debt | National accounts | 0.38583333299999995 |
| NY.ADJ.DFOR.CD | Adjusted savings: net forest depletion (current US$) | Economic Policy & Debt | National accounts | 0.3275 |
| NY.ADJ.DFOR.GN.ZS | Adjusted savings: net forest depletion (% of GNI) | Economic Policy & Debt | National accounts | 0.3675 |
| NY.ADJ.DKAP.CD | Adjusted savings: consumption of fixed capital (current US$) | Economic Policy & Debt | National accounts | 0.615833333 |
| NY.ADJ.DKAP.GN.ZS | Adjusted savings: consumption of fixed capital (% of GNI) | Economic Policy & Debt | National accounts | 0.4175 |
| NY.ADJ.DMIN.CD | Adjusted savings: mineral depletion (current US$) | Economic Policy & Debt | National accounts | 0.3225 |
| NY.ADJ.DMIN.GN.ZS | Adjusted savings: mineral depletion (% of GNI) | Economic Policy & Debt | National accounts | 0.365 |
| NY.ADJ.DNGY.CD | Adjusted savings: energy depletion (current US$) | Economic Policy & Debt | National accounts | 0.47583333299999997 |
| NY.ADJ.DNGY.GN.ZS | Adjusted savings: energy depletion (% of GNI) | Economic Policy & Debt | National accounts | 0.381666667 |
| NY.ADJ.DPEM.CD | Adjusted savings: particulate emission damage (current US$) | Economic Policy & Debt | National accounts | 0.378333333 |
| NY.ADJ.DPEM.GN.ZS | Adjusted savings: particulate emission damage (% of GNI) | Economic Policy & Debt | National accounts | 0.563333333 |
| NY.ADJ.DRES.GN.ZS | Adjusted savings: natural resources depletion (% of GNI) | Economic Policy & Debt | National accounts | 0.3925 |
| NY.ADJ.ICTR.GN.ZS | Adjusted savings: gross savings (% of GNI) | Economic Policy & Debt | National accounts | 0.615 |
| NY.ADJ.NNAT.CD | Adjusted savings: net national savings (current US$) | Economic Policy & Debt | National accounts | 0.529166667 |
| NY.ADJ.NNAT.GN.ZS | Adjusted savings: net national savings (% of GNI) | Economic Policy & Debt | National accounts | 0.523333333 |
| NY.ADJ.NNTY.CD | Adjusted net national income (current US$) | Economic Policy & Debt | National accounts | 0.525833333 |
| NY.ADJ.NNTY.KD | Adjusted net national income (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.535833333 |
| NY.ADJ.NNTY.KD.ZG | Adjusted net national income (annual % growth) | Economic Policy & Debt | National accounts | 0.3125 |
| NY.ADJ.NNTY.PC.CD | Adjusted net national income per capita (current US$) | Economic Policy & Debt | National accounts | 0.5625 |
| NY.ADJ.NNTY.PC.KD | Adjusted net national income per capita (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.533333333 |
| NY.ADJ.NNTY.PC.KD.ZG | Adjusted net national income per capita (annual % growth) | Economic Policy & Debt | National accounts | 0.305 |
| NY.ADJ.SVNG.CD | Adjusted net savings, including particulate emission damage (current US$) | Economic Policy & Debt | National accounts | 0.4975 |
| NY.ADJ.SVNG.GN.ZS | Adjusted net savings, including particulate emission damage (% of GNI) | Economic Policy & Debt | National accounts | 0.4775 |
| NY.ADJ.SVNX.CD | Adjusted net savings, excluding particulate emission damage (current US$) | Economic Policy & Debt | National accounts | 0.530833333 |
| NY.ADJ.SVNX.GN.ZS | Adjusted net savings, excluding particulate emission damage (% of GNI) | Economic Policy & Debt | National accounts | 0.47916666700000005 |
| NY.EXP.CAPM.KN | Exports as a capacity to import (constant LCU) | Economic Policy & Debt | National accounts | 0.47166666700000004 |
| NY.GDP.COAL.RT.ZS | Coal rents (% of GDP) | Environment | Natural resources contribution to GDP | 0.334166667 |
| NY.GDP.DEFL.KD.ZG | Inflation, GDP deflator (annual %) | Financial Sector | Exchange rates & prices | 0.384166667 |
| NY.GDP.DEFL.KD.ZG.AD | Inflation, GDP deflator: linked series (annual %) | Financial Sector | Exchange rates & prices | 0.39 |
| NY.GDP.DEFL.ZS | GDP deflator (base year varies by country) | Financial Sector | Exchange rates & prices | 0.4675 |
| NY.GDP.DEFL.ZS.AD | GDP deflator: linked series (base year varies by country) | Financial Sector | Exchange rates & prices | 0.47166666700000004 |
| NY.GDP.DISC.CN | Discrepancy in expenditure estimate of GDP (current LCU) | Economic Policy & Debt | National accounts | 0.40083333299999996 |
| NY.GDP.DISC.KN | Discrepancy in expenditure estimate of GDP (constant LCU) | Economic Policy & Debt | National accounts | 0.2775 |
| NY.GDP.FCST.CD | Gross value added at factor cost (current US$) | Economic Policy & Debt | National accounts | 0.555 |
| NY.GDP.FCST.CN | Gross value added at factor cost (current LCU) | Economic Policy & Debt | National accounts | 0.44 |
| NY.GDP.FCST.KD | Gross value added at factor cost (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.59 |
| NY.GDP.FCST.KN | Gross value added at factor cost (constant LCU) | Economic Policy & Debt | National accounts | 0.45833333299999995 |
| NY.GDP.FRST.RT.ZS | Forest rents (% of GDP) | Environment | Natural resources contribution to GDP | 0.4925 |
| NY.GDP.MINR.RT.ZS | Mineral rents (% of GDP) | Environment | Natural resources contribution to GDP | 0.41083333299999997 |
| NY.GDP.MKTP.CD | GDP (current US$) | Economic Policy & Debt | National accounts | 0.5558333329999999 |
| NY.GDP.MKTP.CN | GDP (current LCU) | Economic Policy & Debt | National accounts | 0.355833333 |
| NY.GDP.MKTP.CN.AD | GDP at market prices: linked series (current LCU) | Economic Policy & Debt | National accounts | 0.39666666700000003 |
| NY.GDP.MKTP.KD | GDP (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.6266666670000001 |
| NY.GDP.MKTP.KD.ZG | GDP growth (annual %) | Economic Policy & Debt | National accounts | 0.3325 |
| NY.GDP.MKTP.KN | GDP (constant LCU) | Economic Policy & Debt | National accounts | 0.46833333299999996 |
| NY.GDP.MKTP.PP.CD | GDP, PPP (current international $) | Economic Policy & Debt | Purchasing power parity | 0.5708333329999999 |
| NY.GDP.MKTP.PP.KD | GDP, PPP (constant 2011 international $) | Economic Policy & Debt | Purchasing power parity | 0.5458333329999999 |
| NY.GDP.NGAS.RT.ZS | Natural gas rents (% of GDP) | Environment | Natural resources contribution to GDP | 0.438333333 |
| NY.GDP.PCAP.CD | GDP per capita (current US$) | Economic Policy & Debt | National accounts | 0.6125 |
| NY.GDP.PCAP.CN | GDP per capita (current LCU) | Economic Policy & Debt | National accounts | 0.45583333299999995 |
| NY.GDP.PCAP.KD | GDP per capita (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.6125 |
| NY.GDP.PCAP.KD.ZG | GDP per capita growth (annual %) | Economic Policy & Debt | National accounts | 0.314166667 |
| NY.GDP.PCAP.KN | GDP per capita (constant LCU) | Economic Policy & Debt | National accounts | 0.443333333 |
| NY.GDP.PCAP.PP.CD | GDP per capita, PPP (current international $) | Economic Policy & Debt | Purchasing power parity | 0.6925 |
| NY.GDP.PCAP.PP.KD | GDP per capita, PPP (constant 2011 international $) | Economic Policy & Debt | Purchasing power parity | 0.645 |
| NY.GDP.PETR.RT.ZS | Oil rents (% of GDP) | Environment | Natural resources contribution to GDP | 0.423333333 |
| NY.GDP.TOTL.RT.ZS | Total natural resources rents (% of GDP) | Environment | Natural resources contribution to GDP | 0.441666667 |
| NY.GDS.TOTL.CD | Gross domestic savings (current US$) | Economic Policy & Debt | National accounts | 0.6075 |
| NY.GDS.TOTL.CN | Gross domestic savings (current LCU) | Economic Policy & Debt | National accounts | 0.45833333299999995 |
| NY.GDS.TOTL.ZS | Gross domestic savings (% of GDP) | Economic Policy & Debt | National accounts | 0.62 |
| NY.GDY.TOTL.KN | Gross domestic income (constant LCU) | Economic Policy & Debt | National accounts | 0.4025 |
| NY.GNP.ATLS.CD | GNI, Atlas method (current US$) | Economic Policy & Debt | National accounts | 0.5508333329999999 |
| NY.GNP.MKTP.CD | GNI (current US$) | Economic Policy & Debt | National accounts | 0.52 |
| NY.GNP.MKTP.CN | GNI (current LCU) | Economic Policy & Debt | National accounts | 0.368333333 |
| NY.GNP.MKTP.KD | GNI (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.5525 |
| NY.GNP.MKTP.KD.ZG | GNI growth (annual %) | Economic Policy & Debt | National accounts | 0.35416666700000005 |
| NY.GNP.MKTP.KN | GNI (constant LCU) | Economic Policy & Debt | National accounts | 0.386666667 |
| NY.GNP.MKTP.PP.CD | GNI, PPP (current international $) | Economic Policy & Debt | Purchasing power parity | 0.5725 |
| NY.GNP.MKTP.PP.KD | GNI, PPP (constant 2011 international $) | Economic Policy & Debt | Purchasing power parity | 0.500833333 |
| NY.GNP.PCAP.CD | GNI per capita, Atlas method (current US$) | Economic Policy & Debt | National accounts | 0.625 |
| NY.GNP.PCAP.CN | GNI per capita (current LCU) | Economic Policy & Debt | National accounts | 0.46083333299999996 |
| NY.GNP.PCAP.KD | GNI per capita (constant 2010 US$) | Economic Policy & Debt | National accounts | 0.6175 |
| NY.GNP.PCAP.KD.ZG | GNI per capita growth (annual %) | Economic Policy & Debt | National accounts | 0.3225 |
| NY.GNP.PCAP.KN | GNI per capita (constant LCU) | Economic Policy & Debt | National accounts | 0.4175 |
| NY.GNP.PCAP.PP.CD | GNI per capita, PPP (current international $) | Economic Policy & Debt | Purchasing power parity | 0.6875 |
| NY.GNP.PCAP.PP.KD | GNI per capita, PPP (constant 2011 international $) | Economic Policy & Debt | Purchasing power parity | 0.6233333329999999 |
| NY.GNS.ICTR.CD | Gross savings (current US$) | Economic Policy & Debt | National accounts | 0.583333333 |
| NY.GNS.ICTR.CN | Gross savings (current LCU) | Economic Policy & Debt | National accounts | 0.39833333299999996 |
| NY.GNS.ICTR.GN.ZS | Gross savings (% of GNI) | Economic Policy & Debt | National accounts | 0.56 |
| NY.GNS.ICTR.ZS | Gross savings (% of GDP) | Economic Policy & Debt | National accounts | 0.483333333 |
| NY.GSR.NFCY.CD | Net income from abroad (current US$) | Economic Policy & Debt | National accounts | 0.47583333299999997 |
| NY.GSR.NFCY.CN | Net income from abroad (current LCU) | Economic Policy & Debt | National accounts | 0.360833333 |
| NY.GSR.NFCY.KN | Net income from abroad (constant LCU) | Economic Policy & Debt | National accounts | 0.0 |
| NY.TAX.NIND.CD | Net taxes on products (current US$) | Economic Policy & Debt | National accounts | 0.47583333299999997 |
| NY.TAX.NIND.CN | Net taxes on products (current LCU) | Economic Policy & Debt | National accounts | 0.3625 |
| NY.TAX.NIND.KN | Net taxes on products (constant LCU) | Economic Policy & Debt | National accounts | 0.4025 |
| NY.TRF.NCTR.CD | Net current transfers from abroad (current US$) | Economic Policy & Debt | National accounts | 0.58 |
| NY.TRF.NCTR.CN | Net current transfers from abroad (current LCU) | Economic Policy & Debt | National accounts | 0.573333333 |
| NY.TRF.NCTR.KN | Net current transfers from abroad (constant LCU) | Economic Policy & Debt | National accounts | 0.40727272700000006 |
| NY.TTF.GNFS.KN | Terms of trade adjustment (constant LCU) | Economic Policy & Debt | National accounts | 0.308333333 |
| PA.NUS.ATLS | DEC alternative conversion factor (LCU per US$) | Financial Sector | Exchange rates & prices | 0.483333333 |
| PA.NUS.FCRF | Official exchange rate (LCU per US$, period average) | Financial Sector | Exchange rates & prices | 0.371666667 |
| PA.NUS.PPP | PPP conversion factor, GDP (LCU per international $) | Economic Policy & Debt | Purchasing power parity | 0.51 |
| PA.NUS.PPP.05 | 2005 PPP conversion factor, GDP (LCU per international $) | Economic Policy & Debt | Purchasing power parity | 0.5125 |
| PA.NUS.PPPC.RF | Price level ratio of PPP conversion factor (GDP) to market exchange rate | Economic Policy & Debt | Purchasing power parity | 0.505833333 |
| PA.NUS.PRVT.PP | PPP conversion factor, private consumption (LCU per international $) | Economic Policy & Debt | Purchasing power parity | 0.5841666670000001 |
| PA.NUS.PRVT.PP.05 | 2005 PPP conversion factor, private consumption (LCU per international $) | Economic Policy & Debt | Purchasing power parity | 0.55 |
| per_allsp.adq_pop_tot | Adequacy of social protection and labor programs (% of total welfare of beneficiary households) | Social Protection & Labor | Performance | 0.22375 |
| per_allsp.ben_q1_tot | Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) | Social Protection & Labor | Performance | 0.22 |
| per_allsp.cov_pop_tot | Coverage of social protection and labor programs (% of population) | Social Protection & Labor | Performance | 0.1925 |
| per_lm_alllm.adq_pop_tot | Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) | Social Protection & Labor | Performance | 0.13 |
| per_lm_alllm.ben_q1_tot | Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) | Social Protection & Labor | Performance | 0.18625 |
| per_lm_alllm.cov_pop_tot | Coverage of unemployment benefits and ALMP (% of population) | Social Protection & Labor | Performance | 0.175 |
| per_lm_alllm.cov_q1_tot | Coverage of unemployment benefits and ALMP in poorest quintile (% of population) | Social Protection & Labor | Performance | 0.17375 |
| per_lm_alllm.cov_q2_tot | Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) | Social Protection & Labor | Performance | 0.1425 |
| per_lm_alllm.cov_q3_tot | Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) | Social Protection & Labor | Performance | 0.12375 |
| per_lm_alllm.cov_q4_tot | Coverage of unemployment benefits and ALMP in 4th quintile (% of population) | Social Protection & Labor | Performance | 0.16625 |
| per_lm_alllm.cov_q5_tot | Coverage of unemployment benefits and ALMP in richest quintile (% of population) | Social Protection & Labor | Performance | 0.16125 |
| per_sa_allsa.adq_pop_tot | Adequacy of social safety net programs (% of total welfare of beneficiary households) | Social Protection & Labor | Performance | 0.16375 |
| per_sa_allsa.ben_q1_tot | Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits) | Social Protection & Labor | Performance | 0.18875 |
| per_sa_allsa.cov_pop_tot | Coverage of social safety net programs (% of population) | Social Protection & Labor | Performance | 0.18625 |
| per_sa_allsa.cov_q1_tot | Coverage of social safety net programs in poorest quintile (% of population) | Social Protection & Labor | Performance | 0.20625 |
| per_sa_allsa.cov_q2_tot | Coverage of social safety net programs in 2nd quintile (% of population) | Social Protection & Labor | Performance | 0.15125 |
| per_sa_allsa.cov_q3_tot | Coverage of social safety net programs in 3rd quintile (% of population) | Social Protection & Labor | Performance | 0.1825 |
| per_sa_allsa.cov_q4_tot | Coverage of social safety net programs in 4th quintile (% of population) | Social Protection & Labor | Performance | 0.17875 |
| per_sa_allsa.cov_q5_tot | Coverage of social safety net programs in richest quintile (% of population) | Social Protection & Labor | Performance | 0.20625 |
| per_si_allsi.adq_pop_tot | Adequacy of social insurance programs (% of total welfare of beneficiary households) | Social Protection & Labor | Performance | 0.26125 |
| per_si_allsi.ben_q1_tot | Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) | Social Protection & Labor | Performance | 0.25875 |
| per_si_allsi.cov_pop_tot | Coverage of social insurance programs (% of population) | Social Protection & Labor | Performance | 0.29125 |
| per_si_allsi.cov_q1_tot | Coverage of social insurance programs in poorest quintile (% of population) | Social Protection & Labor | Performance | 0.2675 |
| per_si_allsi.cov_q2_tot | Coverage of social insurance programs in 2nd quintile (% of population) | Social Protection & Labor | Performance | 0.28875 |
| per_si_allsi.cov_q3_tot | Coverage of social insurance programs in 3rd quintile (% of population) | Social Protection & Labor | Performance | 0.26625 |
| per_si_allsi.cov_q4_tot | Coverage of social insurance programs in 4th quintile (% of population) | Social Protection & Labor | Performance | 0.25125 |
| per_si_allsi.cov_q5_tot | Coverage of social insurance programs in richest quintile (% of population) | Social Protection & Labor | Performance | 0.28375 |
| PX.REX.REER | Real effective exchange rate index (2010 = 100) | Financial Sector | Exchange rates & prices | 0.3575 |
| SE.ADT.1524.LT.FE.ZS | Literacy rate, youth female (% of females ages 15-24) | Education | Outcomes | 0.317777778 |
| SE.ADT.1524.LT.FM.ZS | Literacy rate, youth (ages 15-24), gender parity index (GPI) | Education | Outcomes | 0.245555556 |
| SE.ADT.1524.LT.MA.ZS | Literacy rate, youth male (% of males ages 15-24) | Education | Outcomes | 0.297777778 |
| SE.ADT.1524.LT.ZS | Literacy rate, youth total (% of people ages 15-24) | Education | Outcomes | 0.308888889 |
| SE.ADT.LITR.FE.ZS | Literacy rate, adult female (% of females ages 15 and above) | Education | Outcomes | 0.334444444 |
| SE.ADT.LITR.MA.ZS | Literacy rate, adult male (% of males ages 15 and above) | Education | Outcomes | 0.325555556 |
| SE.ADT.LITR.ZS | Literacy rate, adult total (% of people ages 15 and above) | Education | Outcomes | 0.35333333299999997 |
| SE.COM.DURS | Compulsory education, duration (years) | Education | Outcomes | 0.255 |
| SE.ENR.PRIM.FM.ZS | School enrollment, primary (gross), gender parity index (GPI) | Education | Participation | 0.494166667 |
| SE.ENR.PRSC.FM.ZS | School enrollment, primary and secondary (gross), gender parity index (GPI) | Education | Participation | 0.435 |
| SE.ENR.SECO.FM.ZS | School enrollment, secondary (gross), gender parity index (GPI) | Education | Participation | 0.430833333 |
| SE.ENR.TERT.FM.ZS | School enrollment, tertiary (gross), gender parity index (GPI) | Education | Participation | 0.395 |
| SE.PRE.DURS | Preprimary education, duration (years) | Education | Inputs | 0.230833333 |
| SE.PRE.ENRL.TC.ZS | Pupil-teacher ratio, preprimary | Education | Inputs | 0.41666666700000005 |
| SE.PRE.ENRR | School enrollment, preprimary (% gross) | Education | Participation | 0.443333333 |
| SE.PRE.ENRR.FE | School enrollment, preprimary, female (% gross) | Education | Participation | 0.46166666700000003 |
| SE.PRE.ENRR.MA | School enrollment, preprimary, male (% gross) | Education | Participation | 0.435 |
| SE.PRE.TCAQ.FE.ZS | Trained teachers in preprimary education, female (% of female teachers) | Education | Inputs | 0.193333333 |
| SE.PRE.TCAQ.MA.ZS | Trained teachers in preprimary education, male (% of male teachers) | Education | Inputs | 0.164444444 |
| SE.PRE.TCAQ.ZS | Trained teachers in preprimary education (% of total teachers) | Education | Inputs | 0.196666667 |
| SE.PRM.AGES | Primary school starting age (years) | Education | Inputs | 0.0675 |
| SE.PRM.CMPT.FE.ZS | Primary completion rate, female (% of relevant age group) | Education | Outcomes | 0.487272727 |
| SE.PRM.CMPT.MA.ZS | Primary completion rate, male (% of relevant age group) | Education | Outcomes | 0.45363636399999996 |
| SE.PRM.CMPT.ZS | Primary completion rate, total (% of relevant age group) | Education | Outcomes | 0.47333333299999997 |
| SE.PRM.CUAT.FE.ZS | Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) | Education | Outcomes | 0.512 |
| SE.PRM.CUAT.MA.ZS | Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) | Education | Outcomes | 0.478 |
| SE.PRM.CUAT.ZS | Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) | Education | Outcomes | 0.508 |
| SE.PRM.DURS | Primary education, duration (years) | Education | Outcomes | 0.250833333 |
| SE.PRM.ENRL | Primary education, pupils | Education | Participation | 0.41916666700000005 |
| SE.PRM.ENRL.FE.ZS | Primary education, pupils (% female) | Education | Participation | 0.41166666700000004 |
| SE.PRM.ENRL.TC.ZS | Pupil-teacher ratio, primary | Education | Inputs | 0.46416666700000003 |
| SE.PRM.ENRR | School enrollment, primary (% gross) | Education | Participation | 0.45916666700000003 |
| SE.PRM.ENRR.FE | School enrollment, primary, female (% gross) | Education | Participation | 0.431666667 |
| SE.PRM.ENRR.MA | School enrollment, primary, male (% gross) | Education | Participation | 0.42666666700000005 |
| SE.PRM.GINT.FE.ZS | Gross intake ratio in first grade of primary education, female (% of relevant age group) | Education | Efficiency | 0.4475 |
| SE.PRM.GINT.MA.ZS | Gross intake ratio in first grade of primary education, male (% of relevant age group) | Education | Efficiency | 0.444166667 |
| SE.PRM.GINT.ZS | Gross intake ratio in first grade of primary education, total (% of relevant age group) | Education | Efficiency | 0.444166667 |
| SE.PRM.NENR | School enrollment, primary (% net) | Education | Participation | 0.40666666700000004 |
| SE.PRM.NENR.FE | School enrollment, primary, female (% net) | Education | Participation | 0.517 |
| SE.PRM.NENR.MA | School enrollment, primary, male (% net) | Education | Participation | 0.489 |
| SE.PRM.NINT.FE.ZS | Net intake rate in grade 1, female (% of official school-age population) | Education | Efficiency | 0.38222222200000006 |
| SE.PRM.NINT.MA.ZS | Net intake rate in grade 1, male (% of official school-age population) | Education | Efficiency | 0.34555555600000004 |
| SE.PRM.NINT.ZS | Net intake rate in grade 1 (% of official school-age population) | Education | Efficiency | 0.37222222200000005 |
| SE.PRM.OENR.FE.ZS | Over-age students, primary, female (% of female enrollment) | Education | Efficiency | 0.381666667 |
| SE.PRM.OENR.MA.ZS | Over-age students, primary, male (% of male enrollment) | Education | Efficiency | 0.46 |
| SE.PRM.OENR.ZS | Over-age students, primary (% of enrollment) | Education | Efficiency | 0.394166667 |
| SE.PRM.PRIV.ZS | School enrollment, primary, private (% of total primary) | Education | Participation | 0.41083333299999997 |
| SE.PRM.PRS5.FE.ZS | Persistence to grade 5, female (% of cohort) | Education | Efficiency | 0.509090909 |
| SE.PRM.PRS5.MA.ZS | Persistence to grade 5, male (% of cohort) | Education | Efficiency | 0.47272727299999995 |
| SE.PRM.PRS5.ZS | Persistence to grade 5, total (% of cohort) | Education | Efficiency | 0.53 |
| SE.PRM.PRSL.FE.ZS | Persistence to last grade of primary, female (% of cohort) | Education | Efficiency | 0.48 |
| SE.PRM.PRSL.MA.ZS | Persistence to last grade of primary, male (% of cohort) | Education | Efficiency | 0.473636364 |
| SE.PRM.PRSL.ZS | Persistence to last grade of primary, total (% of cohort) | Education | Efficiency | 0.512727273 |
| SE.PRM.REPT.FE.ZS | Repeaters, primary, female (% of female enrollment) | Education | Efficiency | 0.48272727299999996 |
| SE.PRM.REPT.MA.ZS | Repeaters, primary, male (% of male enrollment) | Education | Efficiency | 0.443636364 |
| SE.PRM.REPT.ZS | Repeaters, primary, total (% of total enrollment) | Education | Efficiency | 0.455 |
| SE.PRM.TCAQ.FE.ZS | Trained teachers in primary education, female (% of female teachers) | Education | Inputs | 0.182222222 |
| SE.PRM.TCAQ.MA.ZS | Trained teachers in primary education, male (% of male teachers) | Education | Inputs | 0.152222222 |
| SE.PRM.TCAQ.ZS | Trained teachers in primary education (% of total teachers) | Education | Inputs | 0.192222222 |
| SE.PRM.TCHR | Primary education, teachers | Education | Inputs | 0.37 |
| SE.PRM.TCHR.FE.ZS | Primary education, teachers (% female) | Education | Inputs | 0.39333333299999995 |
| SE.PRM.TENR | Adjusted net enrollment rate, primary (% of primary school age children) | Education | Participation | 0.405 |
| SE.PRM.TENR.FE | Adjusted net enrollment rate, primary, female (% of primary school age children) | Education | Participation | 0.532 |
| SE.PRM.TENR.MA | Adjusted net enrollment rate, primary, male (% of primary school age children) | Education | Participation | 0.45799999999999996 |
| SE.PRM.UNER | Children out of school, primary | Education | Participation | 0.391666667 |
| SE.PRM.UNER.FE | Children out of school, primary, female | Education | Participation | 0.518 |
| SE.PRM.UNER.FE.ZS | Children out of school, female (% of female primary school age) | Education | Participation | 0.473 |
| SE.PRM.UNER.MA | Children out of school, primary, male | Education | Participation | 0.431 |
| SE.PRM.UNER.MA.ZS | Children out of school, male (% of male primary school age) | Education | Participation | 0.45299999999999996 |
| SE.PRM.UNER.ZS | Children out of school (% of primary school age) | Education | Participation | 0.42166666700000005 |
| SE.SEC.AGES | Lower secondary school starting age (years) | Education | Inputs | 0.1975 |
| SE.SEC.CMPT.LO.FE.ZS | Lower secondary completion rate, female (% of relevant age group) | Education | Outcomes | 0.497272727 |
| SE.SEC.CMPT.LO.MA.ZS | Lower secondary completion rate, male (% of relevant age group) | Education | Outcomes | 0.486363636 |
| SE.SEC.CMPT.LO.ZS | Lower secondary completion rate, total (% of relevant age group) | Education | Outcomes | 0.46818181799999997 |
| SE.SEC.CUAT.LO.FE.ZS | Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) | Education | Outcomes | 0.466 |
| SE.SEC.CUAT.LO.MA.ZS | Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) | Education | Outcomes | 0.449 |
| SE.SEC.CUAT.LO.ZS | Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) | Education | Outcomes | 0.45799999999999996 |
| SE.SEC.CUAT.PO.FE.ZS | Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) | Education | Outcomes | 0.521 |
| SE.SEC.CUAT.PO.MA.ZS | Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) | Education | Outcomes | 0.48 |
| SE.SEC.CUAT.PO.ZS | Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) | Education | Outcomes | 0.532 |
| SE.SEC.CUAT.UP.FE.ZS | Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) | Education | Outcomes | 0.546 |
| SE.SEC.CUAT.UP.MA.ZS | Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) | Education | Outcomes | 0.475 |
| SE.SEC.CUAT.UP.ZS | Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) | Education | Outcomes | 0.49 |
| SE.SEC.DURS | Secondary education, duration (years) | Education | Outcomes | 0.38333333299999994 |
| SE.SEC.ENRL | Secondary education, pupils | Education | Participation | 0.40583333299999996 |
| SE.SEC.ENRL.FE.ZS | Secondary education, pupils (% female) | Education | Participation | 0.4125 |
| SE.SEC.ENRL.GC | Secondary education, general pupils | Education | Participation | 0.36166666700000005 |
| SE.SEC.ENRL.GC.FE.ZS | Secondary education, general pupils (% female) | Education | Participation | 0.39833333299999996 |
| SE.SEC.ENRL.LO.TC.ZS | Pupil-teacher ratio, lower secondary | Education | Inputs | 0.469090909 |
| SE.SEC.ENRL.TC.ZS | Pupil-teacher ratio, secondary | Education | Inputs | 0.40916666700000004 |
| SE.SEC.ENRL.UP.TC.ZS | Pupil-teacher ratio, upper secondary | Education | Inputs | 0.442727273 |
| SE.SEC.ENRL.VO | Secondary education, vocational pupils | Education | Participation | 0.45833333299999995 |
| SE.SEC.ENRL.VO.FE.ZS | Secondary education, vocational pupils (% female) | Education | Participation | 0.316666667 |
| SE.SEC.ENRR | School enrollment, secondary (% gross) | Education | Participation | 0.49166666700000006 |
| SE.SEC.ENRR.FE | School enrollment, secondary, female (% gross) | Education | Participation | 0.495833333 |
| SE.SEC.ENRR.MA | School enrollment, secondary, male (% gross) | Education | Participation | 0.5116666670000001 |
| SE.SEC.NENR | School enrollment, secondary (% net) | Education | Participation | 0.48 |
| SE.SEC.NENR.FE | School enrollment, secondary, female (% net) | Education | Participation | 0.488333333 |
| SE.SEC.NENR.MA | School enrollment, secondary, male (% net) | Education | Participation | 0.4525 |
| SE.SEC.PRIV.ZS | School enrollment, secondary, private (% of total secondary) | Education | Participation | 0.42100000000000004 |
| SE.SEC.PROG.FE.ZS | Progression to secondary school, female (%) | Education | Efficiency | 0.483636364 |
| SE.SEC.PROG.MA.ZS | Progression to secondary school, male (%) | Education | Efficiency | 0.391818182 |
| SE.SEC.PROG.ZS | Progression to secondary school (%) | Education | Efficiency | 0.506363636 |
| SE.SEC.TCAQ.FE.ZS | Trained teachers in secondary education, female (% of female teachers) | Education | Inputs | 0.185555556 |
| SE.SEC.TCAQ.LO.FE.ZS | Trained teachers in lower secondary education, female (% of female teachers) | Education | Inputs | 0.125 |
| SE.SEC.TCAQ.LO.MA.ZS | Trained teachers in lower secondary education, male (% of male teachers) | Education | Inputs | 0.16 |
| SE.SEC.TCAQ.LO.ZS | Trained teachers in lower secondary education (% of total teachers) | Education | Inputs | 0.151111111 |
| SE.SEC.TCAQ.MA.ZS | Trained teachers in secondary education, male (% of male teachers) | Education | Inputs | 0.175555556 |
| SE.SEC.TCAQ.UP.FE.ZS | Trained teachers in upper secondary education, female (% of female teachers) | Education | Inputs | 0.135 |
| SE.SEC.TCAQ.UP.MA.ZS | Trained teachers in upper secondary education, male (% of male teachers) | Education | Inputs | 0.11125 |
| SE.SEC.TCAQ.UP.ZS | Trained teachers in upper secondary education (% of total teachers) | Education | Inputs | 0.12875 |
| SE.SEC.TCAQ.ZS | Trained teachers in secondary education (% of total teachers) | Education | Inputs | 0.176666667 |
| SE.SEC.TCHR | Secondary education, teachers | Education | Inputs | 0.391666667 |
| SE.SEC.TCHR.FE | Secondary education, teachers, female | Education | Inputs | 0.3775 |
| SE.SEC.TCHR.FE.ZS | Secondary education, teachers (% female) | Education | Inputs | 0.465 |
| SE.SEC.UNER.LO.FE.ZS | Adolescents out of school, female (% of female lower secondary school age) | Education | Participation | 0.488 |
| SE.SEC.UNER.LO.MA.ZS | Adolescents out of school, male (% of male lower secondary school age) | Education | Participation | 0.494 |
| SE.SEC.UNER.LO.ZS | Adolescents out of school (% of lower secondary school age) | Education | Participation | 0.47 |
| SE.TER.CUAT.BA.FE.ZS | Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative) | Education | Outcomes | 0.0 |
| SE.TER.CUAT.BA.MA.ZS | Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative) | Education | Outcomes | 0.48875 |
| SE.TER.CUAT.BA.ZS | Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) | Education | Outcomes | 0.5375 |
| SE.TER.CUAT.DO.FE.ZS | Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) | Education | Outcomes | 0.43875 |
| SE.TER.CUAT.DO.MA.ZS | Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) | Education | Outcomes | 0.5625 |
| SE.TER.CUAT.DO.ZS | Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) | Education | Outcomes | 0.55375 |
| SE.TER.CUAT.MS.FE.ZS | Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative) | Education | Outcomes | 0.535 |
| SE.TER.CUAT.MS.MA.ZS | Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative) | Education | Outcomes | 0.50875 |
| SE.TER.CUAT.MS.ZS | Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative) | Education | Outcomes | 0.51125 |
| SE.TER.CUAT.ST.FE.ZS | Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) | Education | Outcomes | 0.49700000000000005 |
| SE.TER.CUAT.ST.MA.ZS | Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) | Education | Outcomes | 0.494 |
| SE.TER.CUAT.ST.ZS | Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) | Education | Outcomes | 0.488 |
| SE.TER.ENRL.TC.ZS | Pupil-teacher ratio, tertiary | Education | Inputs | 0.41916666700000005 |
| SE.TER.ENRR | School enrollment, tertiary (% gross) | Education | Participation | 0.5375 |
| SE.TER.ENRR.FE | School enrollment, tertiary, female (% gross) | Education | Participation | 0.551666667 |
| SE.TER.ENRR.MA | School enrollment, tertiary, male (% gross) | Education | Participation | 0.531666667 |
| SE.TER.TCHR.FE.ZS | Tertiary education, academic staff (% female) | Education | Inputs | 0.44818181799999995 |
| SE.XPD.CPRM.ZS | Current education expenditure, primary (% of total expenditure in primary public institutions) | Education | Inputs | 0.349 |
| SE.XPD.CSEC.ZS | Current education expenditure, secondary (% of total expenditure in secondary public institutions) | Education | Inputs | 0.361 |
| SE.XPD.CTER.ZS | Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) | Education | Inputs | 0.366 |
| SE.XPD.CTOT.ZS | Current education expenditure, total (% of total expenditure in public institutions) | Education | Inputs | 0.387 |
| SE.XPD.MPRM.ZS | All education staff compensation, primary (% of total expenditure in primary public institutions) | Education | Inputs | 0.0 |
| SE.XPD.MSEC.ZS | All education staff compensation, secondary (% of total expenditure in secondary public institutions) | Education | Inputs | 0.0 |
| SE.XPD.MTER.ZS | All education staff compensation, tertiary (% of total expenditure in tertiary public institutions) | Education | Inputs | 0.0 |
| SE.XPD.MTOT.ZS | All education staff compensation, total (% of total expenditure in public institutions) | Education | Inputs | 0.0 |
| SE.XPD.PRIM.PC.ZS | Government expenditure per student, primary (% of GDP per capita) | Education | Inputs | 0.36700000000000005 |
| SE.XPD.PRIM.ZS | Expenditure on primary education (% of government expenditure on education) | Education | Inputs | 0.438333333 |
| SE.XPD.SECO.PC.ZS | Government expenditure per student, secondary (% of GDP per capita) | Education | Inputs | 0.47100000000000003 |
| SE.XPD.SECO.ZS | Expenditure on secondary education (% of government expenditure on education) | Education | Inputs | 0.365833333 |
| SE.XPD.TERT.PC.ZS | Government expenditure per student, tertiary (% of GDP per capita) | Education | Inputs | 0.426 |
| SE.XPD.TERT.ZS | Expenditure on tertiary education (% of government expenditure on education) | Education | Inputs | 0.283333333 |
| SE.XPD.TOTL.GB.ZS | Government expenditure on education, total (% of government expenditure) | Education | Inputs | 0.34083333299999996 |
| SE.XPD.TOTL.GD.ZS | Government expenditure on education, total (% of GDP) | Education | Inputs | 0.40916666700000004 |
| SG.DMK.ALLD.FN.ZS | Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) | Gender | Public life & decision making | 0.08375 |
| SG.GEN.PARL.ZS | Proportion of seats held by women in national parliaments (%) | Gender | Public life & decision making | 0.359 |
| SG.JOB.NOPN.EQ | Nonpregnant and nonnursing women can do the same jobs as men (1=yes; 0=no) | Gender | Participation & access | 0.1075 |
| SG.LAW.CHMR | Law prohibits or invalidates child or early marriage (1=yes; 0=no) | Gender | Public life & decision making | 0.1025 |
| SG.LAW.EQRM.WK | Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no) | Gender | Public life & decision making | 0.15625 |
| SG.LAW.LEVE.PU | Law mandates paid or unpaid maternity leave (1=yes; 0=no) | Gender | Public life & decision making | 0.0 |
| SG.LAW.NODC.HR | Law mandates nondiscrimination based on gender in hiring (1=yes; 0=no) | Gender | Public life & decision making | 0.22 |
| SG.LEG.DVAW | Legislation exists on domestic violence (1=yes; 0=no) | Gender | Public life & decision making | 0.095 |
| SG.MMR.LEVE.EP | Mothers are guaranteed an equivalent position after maternity leave (1=yes; 0=no) | Gender | Public life & decision making | 0.08125 |
| SG.NOD.CONS | Nondiscrimination clause mentions gender in the constitution (1=yes; 0=no) | Gender | Public life & decision making | 0.1675 |
| SG.VAW.1549.ZS | Proportion of women subjected to physical and/or sexual violence in the last 12 months ( % of women age 15-49) | Gender | Health | 0.38375 |
| SG.VAW.ARGU.ZS | Women who believe a husband is justified in beating his wife when she argues with him (%) | Gender | Health | 0.13875 |
| SG.VAW.BURN.ZS | Women who believe a husband is justified in beating his wife when she burns the food (%) | Gender | Health | 0.16 |
| SG.VAW.GOES.ZS | Women who believe a husband is justified in beating his wife when she goes out without telling him (%) | Gender | Health | 0.13625 |
| SG.VAW.NEGL.ZS | Women who believe a husband is justified in beating his wife when she neglects the children (%) | Gender | Health | 0.13 |
| SG.VAW.REAS.ZS | Women who believe a husband is justified in beating his wife (any of five reasons) (%) | Gender | Health | 0.16125 |
| SG.VAW.REFU.ZS | Women who believe a husband is justified in beating his wife when she refuses sex with him (%) | Gender | Health | 0.1225 |
| SH.ALC.PCAP.LI | Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age) | Health | Risk factors | 0.49 |
| SH.ANM.ALLW.ZS | Prevalence of anemia among women of reproductive age (% of women ages 15-49) | Health | Nutrition | 0.558333333 |
| SH.ANM.CHLD.ZS | Prevalence of anemia among children (% of children under 5) | Health | Nutrition | 0.5408333329999999 |
| SH.ANM.NPRG.ZS | Prevalence of anemia among non-pregnant women (% of women ages 15-49) | Health | Nutrition | 0.5741666670000001 |
| SH.CON.1524.FE.ZS | Condom use, population ages 15-24, female (% of females ages 15-24) | Health | Disease prevention | 0.17125 |
| SH.CON.1524.MA.ZS | Condom use, population ages 15-24, male (% of males ages 15-24) | Health | Disease prevention | 0.06625 |
| SH.DTH.COMM.ZS | Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) | Health | Risk factors | 0.5625 |
| SH.DTH.IMRT | Number of infant deaths | Health | Mortality | 0.40666666700000004 |
| SH.DTH.INJR.ZS | Cause of death, by injury (% of total) | Health | Risk factors | 0.42625 |
| SH.DTH.MORT | Number of under-five deaths | Health | Mortality | 0.423333333 |
| SH.DTH.NCOM.ZS | Cause of death, by non-communicable diseases (% of total) | Health | Risk factors | 0.5075 |
| SH.DTH.NMRT | Number of neonatal deaths | Health | Mortality | 0.425833333 |
| SH.DYN.AIDS.FE.ZS | Women's share of population ages 15+ living with HIV (%) | Health | Risk factors | 0.385 |
| SH.DYN.AIDS.ZS | Prevalence of HIV, total (% of population ages 15-49) | Health | Risk factors | 0.46083333299999996 |
| SH.DYN.MORT | Mortality rate, under-5 (per 1,000 live births) | Health | Mortality | 0.605833333 |
| SH.DYN.MORT.FE | Mortality rate, under-5, female (per 1,000 live births) | Health | Mortality | 0.64375 |
| SH.DYN.MORT.MA | Mortality rate, under-5, male (per 1,000 live births) | Health | Mortality | 0.67125 |
| SH.DYN.NCOM.ZS | Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) | Health | Mortality | 0.49375 |
| SH.DYN.NMRT | Mortality rate, neonatal (per 1,000 live births) | Health | Mortality | 0.585833333 |
| SH.FPL.SATM.ZS | Demand for family planning satisfied by modern methods (% of married women with demand for family planning) | Health | Reproductive health | 0.18875 |
| SH.H2O.SAFE.RU.ZS | Improved water source, rural (% of rural population with access) | Health | Disease prevention | 0.0 |
| SH.H2O.SAFE.UR.ZS | Improved water source, urban (% of urban population with access) | Health | Disease prevention | 0.0 |
| SH.H2O.SAFE.ZS | Improved water source (% of population with access) | Health | Disease prevention | 0.0 |
| SH.HIV.0014 | Children (0-14) living with HIV | Health | Risk factors | 0.336 |
| SH.HIV.1524.FE.ZS | Prevalence of HIV, female (% ages 15-24) | Health | Risk factors | 0.198333333 |
| SH.HIV.1524.MA.ZS | Prevalence of HIV, male (% ages 15-24) | Health | Risk factors | 0.160833333 |
| SH.HIV.ARTC.ZS | Antiretroviral therapy coverage (% of people living with HIV) | Health | Risk factors | 0.37200000000000005 |
| SH.HIV.INCD | Adults (ages 15+) newly infected with HIV | Health | Risk factors | 0.286666667 |
| SH.HIV.INCD.14 | Children (ages 0-14) newly infected with HIV | Health | Risk factors | 0.21 |
| SH.HIV.INCD.TL | Adults (ages 15+) and children (ages 0-14) newly infected with HIV | Health | Risk factors | 0.381666667 |
| SH.HIV.INCD.ZS | Incidence of HIV (% of uninfected population ages 15-49) | Health | Risk factors | 0.320833333 |
| SH.HIV.PMTC.ZS | Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) | Health | Risk factors | 0.127777778 |
| SH.IMM.HEPB | Immunization, HepB3 (% of one-year-old children) | Health | Disease prevention | 0.29583333300000003 |
| SH.IMM.IDPT | Immunization, DPT (% of children ages 12-23 months) | Health | Disease prevention | 0.365833333 |
| SH.IMM.MEAS | Immunization, measles (% of children ages 12-23 months) | Health | Disease prevention | 0.35916666700000005 |
| SH.MED.BEDS.ZS | Hospital beds (per 1,000 people) | Health | Health systems | 0.431666667 |
| SH.MED.CMHW.P3 | Community health workers (per 1,000 people) | Health | Health systems | 0.165 |
| SH.MED.NUMW.P3 | Nurses and midwives (per 1,000 people) | Health | Health systems | 0.626363636 |
| SH.MED.PHYS.ZS | Physicians (per 1,000 people) | Health | Health systems | 0.48166666700000005 |
| SH.MED.SAOP.P5 | Specialist surgical workforce (per 100,000 population) | Health | Health systems | 0.525 |
| SH.MLR.INCD.P3 | Incidence of malaria (per 1,000 population at risk) | Health | Risk factors | 0.18 |
| SH.MLR.NETS.ZS | Use of insecticide-treated bed nets (% of under-5 population) | Health | Disease prevention | 0.10625 |
| SH.MLR.TRET.ZS | Children with fever receiving antimalarial drugs (% of children under age 5 with fever) | Health | Disease prevention | 0.10875 |
| SH.MMR.DTHS | Number of maternal deaths | Health | Reproductive health | 0.43700000000000006 |
| SH.MMR.RISK | Lifetime risk of maternal death (1 in: rate varies by country) | Health | Reproductive health | 0.645 |
| SH.MMR.RISK.ZS | Lifetime risk of maternal death (%) | Health | Reproductive health | 0.633 |
| SH.PRG.ANEM | Prevalence of anemia among pregnant women (%) | Health | Nutrition | 0.555 |
| SH.PRV.SMOK.FE | Smoking prevalence, females (% of adults) | Health | Risk factors | 0.47875 |
| SH.PRV.SMOK.MA | Smoking prevalence, males (% of adults) | Health | Risk factors | 0.36625 |
| SH.SGR.CRSK.ZS | Risk of catastrophic expenditure for surgical care (% of people at risk) | Health | Risk factors | 0.574 |
| SH.SGR.IRSK.ZS | Risk of impoverishing expenditure for surgical care (% of people at risk) | Health | Risk factors | 0.636 |
| SH.SGR.PROC.P5 | Number of surgical procedures (per 100,000 population) | Health | Health systems | 0.305 |
| SH.STA.ACSN | Improved sanitation facilities (% of population with access) | Health | Disease prevention | 0.0 |
| SH.STA.ACSN.RU | Improved sanitation facilities, rural (% of rural population with access) | Health | Disease prevention | 0.0 |
| SH.STA.ACSN.UR | Improved sanitation facilities, urban (% of urban population with access) | Health | Disease prevention | 0.0 |
| SH.STA.ANVC.ZS | Pregnant women receiving prenatal care (%) | Health | Reproductive health | 0.307 |
| SH.STA.ARIC.ZS | ARI treatment (% of children under 5 taken to a health provider) | Health | Disease prevention | 0.187777778 |
| SH.STA.BFED.ZS | Exclusive breastfeeding (% of children under 6 months) | Health | Nutrition | 0.176666667 |
| SH.STA.BRTC.ZS | Births attended by skilled health staff (% of total) | Health | Reproductive health | 0.379166667 |
| SH.STA.BRTW.ZS | Low-birthweight babies (% of births) | Health | Nutrition | 0.444444444 |
| SH.STA.DIAB.ZS | Diabetes prevalence (% of population ages 20 to 79) | Health | Risk factors | 0.48625 |
| SH.STA.FGMS.ZS | Female genital mutilation prevalence (%) | Health | Risk factors | 0.0 |
| SH.STA.MALN.FE.ZS | Prevalence of underweight, weight for age, female (% of children under 5) | Health | Nutrition | 0.295 |
| SH.STA.MALN.MA.ZS | Prevalence of underweight, weight for age, male (% of children under 5) | Health | Nutrition | 0.24625 |
| SH.STA.MALN.ZS | Prevalence of underweight, weight for age (% of children under 5) | Health | Nutrition | 0.278 |
| SH.STA.MMRT | Maternal mortality ratio (modeled estimate, per 100,000 live births) | Health | Reproductive health | 0.633 |
| SH.STA.MMRT.NE | Maternal mortality ratio (national estimate, per 100,000 live births) | Health | Reproductive health | 0.5822222220000001 |
| SH.STA.ODFC.RU.ZS | People practicing open defecation, rural (% of rural population) | Health | Risk factors | 0.308 |
| SH.STA.ODFC.UR.ZS | People practicing open defecation, urban (% of urban population) | Health | Risk factors | 0.275 |
| SH.STA.ODFC.ZS | People practicing open defecation (% of population) | Health | Risk factors | 0.325 |
| SH.STA.ORCF.ZS | Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) | Health | Disease prevention | 0.15333333300000002 |
| SH.STA.ORTH | Diarrhea treatment (% of children under 5 who received ORS packet) | Health | Disease prevention | 0.18333333300000001 |
| SH.STA.OWGH.FE.ZS | Prevalence of overweight, weight for height, female (% of children under 5) | Health | Nutrition | 0.225 |
| SH.STA.OWGH.MA.ZS | Prevalence of overweight, weight for height, male (% of children under 5) | Health | Nutrition | 0.2375 |
| SH.STA.OWGH.ZS | Prevalence of overweight, weight for height (% of children under 5) | Health | Nutrition | 0.207777778 |
| SH.STA.STNT.FE.ZS | Prevalence of stunting, height for age, female (% of children under 5) | Health | Nutrition | 0.31125 |
| SH.STA.STNT.MA.ZS | Prevalence of stunting, height for age, male (% of children under 5) | Health | Nutrition | 0.3425 |
| SH.STA.STNT.ZS | Prevalence of stunting, height for age (% of children under 5) | Health | Nutrition | 0.303 |
| SH.STA.SUIC.P5 | Suicide mortality rate (per 100,000 population) | Health | Mortality | 0.45 |
| SH.STA.TRAF.P5 | Mortality caused by road traffic injury (per 100,000 people) | Health | Risk factors | 0.585 |
| SH.STA.WAST.FE.ZS | Prevalence of wasting, weight for height, female (% of children under 5) | Health | Nutrition | 0.2025 |
| SH.STA.WAST.MA.ZS | Prevalence of wasting, weight for height, male (% of children under 5) | Health | Nutrition | 0.17875 |
| SH.STA.WAST.ZS | Prevalence of wasting, weight for height (% of children under 5) | Health | Nutrition | 0.191 |
| SH.SVR.WAST.FE.ZS | Prevalence of severe wasting, weight for height, female (% of children under 5) | Health | Nutrition | 0.15875 |
| SH.SVR.WAST.MA.ZS | Prevalence of severe wasting, weight for height, male (% of children under 5) | Health | Nutrition | 0.18125 |
| SH.SVR.WAST.ZS | Prevalence of severe wasting, weight for height (% of children under 5) | Health | Nutrition | 0.19888888899999999 |
| SH.TBS.CURE.ZS | Tuberculosis treatment success rate (% of new cases) | Health | Disease prevention | 0.335 |
| SH.TBS.DTEC.ZS | Tuberculosis case detection rate (%, all forms) | Health | Disease prevention | 0.335 |
| SH.TBS.INCD | Incidence of tuberculosis (per 100,000 people) | Health | Risk factors | 0.584 |
| SH.VAC.TTNS.ZS | Newborns protected against tetanus (%) | Health | Reproductive health | 0.2 |
| SH.XPD.EXTR.ZS | External resources for health (% of total expenditure on health) | Health | Health systems | 0.0 |
| SH.XPD.OOPC.TO.ZS | Out-of-pocket health expenditure (% of total expenditure on health) | Health | Health systems | 0.0 |
| SH.XPD.OOPC.ZS | Out-of-pocket health expenditure (% of private expenditure on health) | Health | Health systems | 0.0 |
| SH.XPD.PCAP | Health expenditure per capita (current US$) | Health | Health systems | 0.0 |
| SH.XPD.PCAP.PP.KD | Health expenditure per capita, PPP (constant 2011 international $) | Health | Health systems | 0.0 |
| SH.XPD.PRIV.ZS | Health expenditure, private (% of GDP) | Health | Health systems | 0.0 |
| SH.XPD.PUBL | Health expenditure, public (% of total health expenditure) | Health | Health systems | 0.0 |
| SH.XPD.PUBL.GX.ZS | Health expenditure, public (% of government expenditure) | Health | Health systems | 0.0 |
| SH.XPD.PUBL.ZS | Health expenditure, public (% of GDP) | Health | Health systems | 0.0 |
| SH.XPD.TOTL.ZS | Health expenditure, total (% of GDP) | Health | Health systems | 0.0 |
| SI.DST.02ND.20 | Income share held by second 20% | Poverty | Income distribution | 0.493636364 |
| SI.DST.03RD.20 | Income share held by third 20% | Poverty | Income distribution | 0.43181818200000005 |
| SI.DST.04TH.20 | Income share held by fourth 20% | Poverty | Income distribution | 0.350909091 |
| SI.DST.05TH.20 | Income share held by highest 20% | Poverty | Income distribution | 0.685454545 |
| SI.DST.10TH.10 | Income share held by highest 10% | Poverty | Income distribution | 0.68 |
| SI.DST.FRST.10 | Income share held by lowest 10% | Poverty | Income distribution | 0.524545455 |
| SI.DST.FRST.20 | Income share held by lowest 20% | Poverty | Income distribution | 0.580909091 |
| SI.POV.2DAY | Poverty headcount ratio at $3.10 a day (2011 PPP) (% of population) | Poverty | Poverty rates | 0.0 |
| SI.POV.DDAY | Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) | Poverty | Poverty rates | 0.534545455 |
| SI.POV.GAP2 | Poverty gap at $3.10 a day (2011 PPP) (%) | Poverty | Poverty rates | 0.0 |
| SI.POV.GAPS | Poverty gap at $1.90 a day (2011 PPP) (%) | Poverty | Poverty rates | 0.455454545 |
| SI.POV.GINI | GINI index (World Bank estimate) | Poverty | Income distribution | 0.683636364 |
| SI.POV.NAGP | Poverty gap at national poverty lines (%) | Poverty | Poverty rates | 0.19625 |
| SI.POV.NAHC | Poverty headcount ratio at national poverty lines (% of population) | Poverty | Poverty rates | 0.306666667 |
| SI.POV.RUGP | Rural poverty gap at national poverty lines (%) | Poverty | Poverty rates | 0.14625 |
| SI.POV.RUHC | Rural poverty headcount ratio at national poverty lines (% of rural population) | Poverty | Poverty rates | 0.2875 |
| SI.POV.URGP | Urban poverty gap at national poverty lines (%) | Poverty | Poverty rates | 0.165 |
| SI.POV.URHC | Urban poverty headcount ratio at national poverty lines (% of urban population) | Poverty | Poverty rates | 0.1975 |
| SI.SPR.PC40 | Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day) | Poverty | Shared prosperity | 0.7325 |
| SI.SPR.PC40.ZG | Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) | Poverty | Shared prosperity | 0.45875 |
| SI.SPR.PCAP | Survey mean consumption or income per capita, total population (2011 PPP $ per day) | Poverty | Shared prosperity | 0.57125 |
| SI.SPR.PCAP.ZG | Annualized average growth rate in per capita real survey mean consumption or income, total population (%) | Poverty | Shared prosperity | 0.4375 |
| SL.AGR.0714.FE.ZS | Child employment in agriculture, female (% of female economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.10125 |
| SL.AGR.0714.MA.ZS | Child employment in agriculture, male (% of male economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.09125 |
| SL.AGR.0714.ZS | Child employment in agriculture (% of economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.1075 |
| SL.AGR.EMPL.FE.ZS | Employment in agriculture, female (% of female employment) | Social Protection & Labor | Economic activity | 0.475 |
| SL.AGR.EMPL.MA.ZS | Employment in agriculture, male (% of male employment) | Social Protection & Labor | Economic activity | 0.515 |
| SL.AGR.EMPL.ZS | Employment in agriculture (% of total employment) | Social Protection & Labor | Economic activity | 0.510833333 |
| SL.EMP.1524.SP.FE.NE.ZS | Employment to population ratio, ages 15-24, female (%) (national estimate) | Social Protection & Labor | Economic activity | 0.308333333 |
| SL.EMP.1524.SP.FE.ZS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | Social Protection & Labor | Economic activity | 0.34083333299999996 |
| SL.EMP.1524.SP.MA.NE.ZS | Employment to population ratio, ages 15-24, male (%) (national estimate) | Social Protection & Labor | Economic activity | 0.33666666700000003 |
| SL.EMP.1524.SP.MA.ZS | Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) | Social Protection & Labor | Economic activity | 0.306666667 |
| SL.EMP.1524.SP.NE.ZS | Employment to population ratio, ages 15-24, total (%) (national estimate) | Social Protection & Labor | Economic activity | 0.255833333 |
| SL.EMP.1524.SP.ZS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | Social Protection & Labor | Economic activity | 0.271666667 |
| SL.EMP.INSV.FE.ZS | Share of women in wage employment in the nonagricultural sector (% of total nonagricultural employment) | Social Protection & Labor | Economic activity | 0.0 |
| SL.EMP.MPYR.FE.ZS | Employers, female (% of female employment) | Social Protection & Labor | Economic activity | 0.368333333 |
| SL.EMP.MPYR.MA.ZS | Employers, male (% of male employment) | Social Protection & Labor | Economic activity | 0.328333333 |
| SL.EMP.MPYR.ZS | Employers, total (% of total employment) | Social Protection & Labor | Economic activity | 0.368333333 |
| SL.EMP.SELF.FE.ZS | Self-employed, female (% of female employment) | Social Protection & Labor | Economic activity | 0.47083333299999997 |
| SL.EMP.SELF.MA.ZS | Self-employed, male (% of male employment) | Social Protection & Labor | Economic activity | 0.445 |
| SL.EMP.SELF.ZS | Self-employed, total (% of total employment) | Social Protection & Labor | Economic activity | 0.47583333299999997 |
| SL.EMP.SMGT.FE.ZS | Female share of employment in senior and middle management (%) | Social Protection & Labor | Economic activity | 0.395 |
| SL.EMP.TOTL.SP.FE.NE.ZS | Employment to population ratio, 15+, female (%) (national estimate) | Social Protection & Labor | Economic activity | 0.39833333299999996 |
| SL.EMP.TOTL.SP.FE.ZS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | Social Protection & Labor | Economic activity | 0.39916666700000003 |
| SL.EMP.TOTL.SP.MA.NE.ZS | Employment to population ratio, 15+, male (%) (national estimate) | Social Protection & Labor | Economic activity | 0.333333333 |
| SL.EMP.TOTL.SP.MA.ZS | Employment to population ratio, 15+, male (%) (modeled ILO estimate) | Social Protection & Labor | Economic activity | 0.38333333299999994 |
| SL.EMP.TOTL.SP.NE.ZS | Employment to population ratio, 15+, total (%) (national estimate) | Social Protection & Labor | Economic activity | 0.3275 |
| SL.EMP.TOTL.SP.ZS | Employment to population ratio, 15+, total (%) (modeled ILO estimate) | Social Protection & Labor | Economic activity | 0.37 |
| SL.EMP.VULN.FE.ZS | Vulnerable employment, female (% of female employment) | Social Protection & Labor | Economic activity | 0.443333333 |
| SL.EMP.VULN.MA.ZS | Vulnerable employment, male (% of male employment) | Social Protection & Labor | Economic activity | 0.4325 |
| SL.EMP.VULN.ZS | Vulnerable employment, total (% of total employment) | Social Protection & Labor | Economic activity | 0.46333333299999996 |
| SL.EMP.WORK.FE.ZS | Wage and salaried workers, female (% of female employment) | Social Protection & Labor | Economic activity | 0.483333333 |
| SL.EMP.WORK.MA.ZS | Wage and salaried workers, male (% of male employment) | Social Protection & Labor | Economic activity | 0.46666666700000003 |
| SL.EMP.WORK.ZS | Wage and salaried workers, total (% of total employment) | Social Protection & Labor | Economic activity | 0.46833333299999996 |
| SL.FAM.0714.FE.ZS | Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.15625 |
| SL.FAM.0714.MA.ZS | Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.165 |
| SL.FAM.0714.ZS | Children in employment, unpaid family workers (% of children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.1425 |
| SL.FAM.WORK.FE.ZS | Contributing family workers, female (% of female employment) | Social Protection & Labor | Economic activity | 0.46083333299999996 |
| SL.FAM.WORK.MA.ZS | Contributing family workers, male (% of male employment) | Social Protection & Labor | Economic activity | 0.494166667 |
| SL.FAM.WORK.ZS | Contributing family workers, total (% of total employment) | Social Protection & Labor | Economic activity | 0.47416666700000004 |
| SL.GDP.PCAP.EM.KD | GDP per person employed (constant 2011 PPP $) | Social Protection & Labor | Economic activity | 0.595 |
| SL.IND.EMPL.FE.ZS | Employment in industry, female (% of female employment) | Social Protection & Labor | Economic activity | 0.3975 |
| SL.IND.EMPL.MA.ZS | Employment in industry, male (% of male employment) | Social Protection & Labor | Economic activity | 0.535 |
| SL.IND.EMPL.ZS | Employment in industry (% of total employment) | Social Protection & Labor | Economic activity | 0.498333333 |
| SL.ISV.IFRM.FE.ZS | Informal employment, female (% of total non-agricultural employment) | Social Protection & Labor | Economic activity | 0.20375 |
| SL.ISV.IFRM.MA.ZS | Informal employment, male (% of total non-agricultural employment) | Social Protection & Labor | Economic activity | 0.18125 |
| SL.ISV.IFRM.ZS | Informal employment (% of total non-agricultural employment) | Social Protection & Labor | Economic activity | 0.2125 |
| SL.MNF.0714.FE.ZS | Child employment in manufacturing, female (% of female economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.11125 |
| SL.MNF.0714.MA.ZS | Child employment in manufacturing, male (% of male economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.08625 |
| SL.MNF.0714.ZS | Child employment in manufacturing (% of economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.1475 |
| SL.SLF.0714.FE.ZS | Children in employment, self-employed, female (% of female children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.11375 |
| SL.SLF.0714.MA.ZS | Children in employment, self-employed, male (% of male children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.155 |
| SL.SLF.0714.ZS | Children in employment, self-employed (% of children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.12 |
| SL.SRV.0714.FE.ZS | Child employment in services, female (% of female economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.0925 |
| SL.SRV.0714.MA.ZS | Child employment in services, male (% of male economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.11625 |
| SL.SRV.0714.ZS | Child employment in services (% of economically active children ages 7-14) | Social Protection & Labor | Economic activity | 0.10625 |
| SL.SRV.EMPL.FE.ZS | Employment in services, female (% of female employment) | Social Protection & Labor | Economic activity | 0.443333333 |
| SL.SRV.EMPL.MA.ZS | Employment in services, male (% of male employment) | Social Protection & Labor | Economic activity | 0.446666667 |
| SL.SRV.EMPL.ZS | Employment in services (% of total employment) | Social Protection & Labor | Economic activity | 0.509166667 |
| SL.TLF.0714.FE.ZS | Children in employment, female (% of female children ages 7-14) | Social Protection & Labor | Economic activity | 0.185555556 |
| SL.TLF.0714.MA.ZS | Children in employment, male (% of male children ages 7-14) | Social Protection & Labor | Economic activity | 0.18333333300000001 |
| SL.TLF.0714.SW.FE.TM | Average working hours of children, study and work, female, ages 7-14 (hours per week) | Social Protection & Labor | Economic activity | 0.18875 |
| SL.TLF.0714.SW.FE.ZS | Children in employment, study and work, female (% of female children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.17375 |
| SL.TLF.0714.SW.MA.TM | Average working hours of children, study and work, male, ages 7-14 (hours per week) | Social Protection & Labor | Economic activity | 0.18125 |
| SL.TLF.0714.SW.MA.ZS | Children in employment, study and work, male (% of male children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.1675 |
| SL.TLF.0714.SW.TM | Average working hours of children, study and work, ages 7-14 (hours per week) | Social Protection & Labor | Economic activity | 0.20875 |
| SL.TLF.0714.SW.ZS | Children in employment, study and work (% of children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.162222222 |
| SL.TLF.0714.WK.FE.TM | Average working hours of children, working only, female, ages 7-14 (hours per week) | Social Protection & Labor | Economic activity | 0.12125 |
| SL.TLF.0714.WK.FE.ZS | Children in employment, work only, female (% of female children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.205 |
| SL.TLF.0714.WK.MA.TM | Average working hours of children, working only, male, ages 7-14 (hours per week) | Social Protection & Labor | Economic activity | 0.10625 |
| SL.TLF.0714.WK.MA.ZS | Children in employment, work only, male (% of male children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.16625 |
| SL.TLF.0714.WK.TM | Average working hours of children, working only, ages 7-14 (hours per week) | Social Protection & Labor | Economic activity | 0.10375 |
| SL.TLF.0714.WK.ZS | Children in employment, work only (% of children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.175555556 |
| SL.TLF.0714.ZS | Children in employment, total (% of children ages 7-14) | Social Protection & Labor | Economic activity | 0.176666667 |
| SL.TLF.ACTI.1524.FE.NE.ZS | Labor force participation rate for ages 15-24, female (%) (national estimate) | Social Protection & Labor | Labor force structure | 0.374166667 |
| SL.TLF.ACTI.1524.FE.ZS | Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.33166666699999997 |
| SL.TLF.ACTI.1524.MA.NE.ZS | Labor force participation rate for ages 15-24, male (%) (national estimate) | Social Protection & Labor | Labor force structure | 0.3625 |
| SL.TLF.ACTI.1524.MA.ZS | Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.280833333 |
| SL.TLF.ACTI.1524.NE.ZS | Labor force participation rate for ages 15-24, total (%) (national estimate) | Social Protection & Labor | Labor force structure | 0.36166666700000005 |
| SL.TLF.ACTI.1524.ZS | Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.305 |
| SL.TLF.ADVN.FE.ZS | Labor force with advanced education, female (% of female labor force) | Social Protection & Labor | Labor force structure | 0.35166666700000004 |
| SL.TLF.ADVN.MA.ZS | Labor force with advanced education, male (% of male labor force) | Social Protection & Labor | Labor force structure | 0.3075 |
| SL.TLF.ADVN.ZS | Labor force with advanced education (% of total) | Social Protection & Labor | Labor force structure | 0.39083333299999995 |
| SL.TLF.BASC.FE.ZS | Labor force with basic education, female (% of female labor force) | Social Protection & Labor | Labor force structure | 0.34333333299999996 |
| SL.TLF.BASC.MA.ZS | Labor force with basic education, male (% of male labor force) | Social Protection & Labor | Labor force structure | 0.335 |
| SL.TLF.BASC.ZS | Labor force with basic education (% of total) | Social Protection & Labor | Labor force structure | 0.380833333 |
| SL.TLF.CACT.FE.NE.ZS | Labor force participation rate, female (% of female population ages 15+) (national estimate) | Social Protection & Labor | Labor force structure | 0.391666667 |
| SL.TLF.CACT.FE.ZS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.449166667 |
| SL.TLF.CACT.FM.NE.ZS | Ratio of female to male labor force participation rate (%) (national estimate) | Social Protection & Labor | Labor force structure | 0.4175 |
| SL.TLF.CACT.FM.ZS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.45333333299999995 |
| SL.TLF.CACT.MA.NE.ZS | Labor force participation rate, male (% of male population ages 15+) (national estimate) | Social Protection & Labor | Labor force structure | 0.4025 |
| SL.TLF.CACT.MA.ZS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.4375 |
| SL.TLF.CACT.NE.ZS | Labor force participation rate, total (% of total population ages 15+) (national estimate) | Social Protection & Labor | Labor force structure | 0.381666667 |
| SL.TLF.CACT.ZS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | Social Protection & Labor | Labor force structure | 0.45 |
| SL.TLF.INTM.FE.ZS | Labor force with intermediate education, female (% of female labor force) | Social Protection & Labor | Labor force structure | 0.330833333 |
| SL.TLF.INTM.MA.ZS | Labor force with intermediate education, male (% of male labor force) | Social Protection & Labor | Labor force structure | 0.380833333 |
| SL.TLF.INTM.ZS | Labor force with intermediate education (% of total) | Social Protection & Labor | Labor force structure | 0.3475 |
| SL.TLF.TOTL.FE.ZS | Labor force, female (% of total labor force) | Social Protection & Labor | Labor force structure | 0.45916666700000003 |
| SL.TLF.TOTL.IN | Labor force, total | Social Protection & Labor | Labor force structure | 0.41 |
| SL.UEM.1524.FE.NE.ZS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | Social Protection & Labor | Unemployment | 0.435 |
| SL.UEM.1524.FE.ZS | Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | Social Protection & Labor | Unemployment | 0.386666667 |
| SL.UEM.1524.MA.NE.ZS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | Social Protection & Labor | Unemployment | 0.335 |
| SL.UEM.1524.MA.ZS | Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | Social Protection & Labor | Unemployment | 0.4175 |
| SL.UEM.1524.NE.ZS | Unemployment, youth total (% of total labor force ages 15-24) (national estimate) | Social Protection & Labor | Unemployment | 0.378333333 |
| SL.UEM.1524.ZS | Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) | Social Protection & Labor | Unemployment | 0.371666667 |
| SL.UEM.ADVN.FE.ZS | Unemployment with advanced education, female | Social Protection & Labor | Unemployment | 0.499166667 |
| SL.UEM.ADVN.MA.ZS | Unemployment with advanced education, male | Social Protection & Labor | Unemployment | 0.45916666700000003 |
| SL.UEM.ADVN.ZS | Unemployment with advanced education (% of total unemployment) | Social Protection & Labor | Unemployment | 0.46166666700000003 |
| SL.UEM.BASC.FE.ZS | Unemployment with basic education, female | Social Protection & Labor | Unemployment | 0.33916666700000003 |
| SL.UEM.BASC.MA.ZS | Unemployment with basic education, male | Social Protection & Labor | Unemployment | 0.36166666700000005 |
| SL.UEM.BASC.ZS | Unemployment with basic education (% of total unemployment) | Social Protection & Labor | Unemployment | 0.34416666700000004 |
| SL.UEM.INTM.FE.ZS | Unemployment with intermediate education, female | Social Protection & Labor | Unemployment | 0.420833333 |
| SL.UEM.INTM.MA.ZS | Unemployment with intermediate education, male | Social Protection & Labor | Unemployment | 0.380833333 |
| SL.UEM.INTM.ZS | Unemployment with intermediate education (% of total unemployment) | Social Protection & Labor | Unemployment | 0.386666667 |
| SL.UEM.NEET.FE.ZS | Share of youth not in education, employment or training, female (% of female youth population) | Social Protection & Labor | Unemployment | 0.578 |
| SL.UEM.NEET.MA.ZS | Share of youth not in education, employment or training, male (% of male youth population) | Social Protection & Labor | Unemployment | 0.456 |
| SL.UEM.NEET.ZS | Share of youth not in education, employment or training, total (% of youth population) | Social Protection & Labor | Unemployment | 0.532 |
| SL.UEM.TOTL.FE.NE.ZS | Unemployment, female (% of female labor force) (national estimate) | Social Protection & Labor | Unemployment | 0.439166667 |
| SL.UEM.TOTL.FE.ZS | Unemployment, female (% of female labor force) (modeled ILO estimate) | Social Protection & Labor | Unemployment | 0.3825 |
| SL.UEM.TOTL.MA.NE.ZS | Unemployment, male (% of male labor force) (national estimate) | Social Protection & Labor | Unemployment | 0.375 |
| SL.UEM.TOTL.MA.ZS | Unemployment, male (% of male labor force) (modeled ILO estimate) | Social Protection & Labor | Unemployment | 0.358333333 |
| SL.UEM.TOTL.NE.ZS | Unemployment, total (% of total labor force) (national estimate) | Social Protection & Labor | Unemployment | 0.45833333299999995 |
| SL.UEM.TOTL.ZS | Unemployment, total (% of total labor force) (modeled ILO estimate) | Social Protection & Labor | Unemployment | 0.3875 |
| SL.WAG.0714.FE.ZS | Children in employment, wage workers, female (% of female children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.14125 |
| SL.WAG.0714.MA.ZS | Children in employment, wage workers, male (% of male children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.11 |
| SL.WAG.0714.ZS | Children in employment, wage workers (% of children in employment, ages 7-14) | Social Protection & Labor | Economic activity | 0.135 |
| SM.EMI.TERT.ZS | Emigration rate of tertiary educated (% of total tertiary educated population) | Social Protection & Labor | Migration | 0.0 |
| SM.POP.NETM | Net migration | Social Protection & Labor | Migration | 0.59875 |
| SM.POP.REFG | Refugee population by country or territory of asylum | Social Protection & Labor | Migration | 0.41416666700000004 |
| SM.POP.REFG.OR | Refugee population by country or territory of origin | Social Protection & Labor | Migration | 0.496666667 |
| SM.POP.TOTL | International migrant stock, total | Social Protection & Labor | Migration | 0.5025 |
| SM.POP.TOTL.ZS | International migrant stock (% of population) | Social Protection & Labor | Migration | 0.47916666700000005 |
| SN.ITK.DEFC.ZS | Prevalence of undernourishment (% of population) | Health | Nutrition | 0.445 |
| SN.ITK.DFCT | Depth of the food deficit (kilocalories per person per day) | Health | Nutrition | 0.0 |
| SN.ITK.SALT.ZS | Consumption of iodized salt (% of households) | Health | Nutrition | 0.14375 |
| SN.ITK.VITA.ZS | Vitamin A supplementation coverage rate (% of children ages 6-59 months) | Health | Nutrition | 0.09 |
| SP.ADO.TFRT | Adolescent fertility rate (births per 1,000 women ages 15-19) | Health | Reproductive health | 0.5925 |
| SP.DTH.INFR.ZS | Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) | Health | Mortality | 0.51125 |
| SP.DTH.REPT.ZS | Completeness of total death reporting (% of reported total deaths to estimated total deaths) | Health | Mortality | 0.46875 |
| SP.DYN.AMRT.FE | Mortality rate, adult, female (per 1,000 female adults) | Health | Mortality | 0.5608333329999999 |
| SP.DYN.AMRT.MA | Mortality rate, adult, male (per 1,000 male adults) | Health | Mortality | 0.495 |
| SP.DYN.CBRT.IN | Birth rate, crude (per 1,000 people) | Health | Population | 0.571666667 |
| SP.DYN.CDRT.IN | Death rate, crude (per 1,000 people) | Health | Population | 0.4125 |
| SP.DYN.CONM.ZS | Contraceptive prevalence, modern methods (% of women ages 15-49) | Health | Reproductive health | 0.358 |
| SP.DYN.CONU.ZS | Contraceptive prevalence, any methods (% of women ages 15-49) | Health | Reproductive health | 0.46 |
| SP.DYN.IMRT.FE.IN | Mortality rate, infant, female (per 1,000 live births) | Health | Mortality | 0.6125 |
| SP.DYN.IMRT.IN | Mortality rate, infant (per 1,000 live births) | Health | Mortality | 0.598333333 |
| SP.DYN.IMRT.MA.IN | Mortality rate, infant, male (per 1,000 live births) | Health | Mortality | 0.59875 |
| SP.DYN.LE00.FE.IN | Life expectancy at birth, female (years) | Health | Mortality | 0.5625 |
| SP.DYN.LE00.IN | Life expectancy at birth, total (years) | Health | Mortality | 0.610833333 |
| SP.DYN.LE00.MA.IN | Life expectancy at birth, male (years) | Health | Mortality | 0.5791666670000001 |
| SP.DYN.TFRT.IN | Fertility rate, total (births per woman) | Health | Reproductive health | 0.499166667 |
| SP.DYN.TO65.FE.ZS | Survival to age 65, female (% of cohort) | Health | Mortality | 0.601666667 |
| SP.DYN.TO65.MA.ZS | Survival to age 65, male (% of cohort) | Health | Mortality | 0.530833333 |
| SP.DYN.WFRT | Wanted fertility rate (births per woman) | Health | Reproductive health | 0.16625 |
| SP.HOU.FEMA.ZS | Female headed households (% of households with a female head) | Health | Population | 0.1125 |
| SP.M18.2024.FE.ZS | Women who were first married by age 18 (% of women ages 20-24) | Health | Population | 0.253333333 |
| SP.MTR.1519.ZS | Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) | Health | Reproductive health | 0.255 |
| SP.POP.0004.FE.5Y | Population ages 0-4, female (% of female population) | Health | Population | 0.5116666670000001 |
| SP.POP.0004.MA.5Y | Population ages 0-4, male (% of male population) | Health | Population | 0.5591666670000001 |
| SP.POP.0014.TO.ZS | Population ages 0-14 (% of total) | Health | Population | 0.46416666700000003 |
| SP.POP.0509.FE.5Y | Population ages 5-9, female (% of female population) | Health | Population | 0.47833333299999997 |
| SP.POP.0509.MA.5Y | Population ages 5-9, male (% of male population) | Health | Population | 0.515833333 |
| SP.POP.1014.FE.5Y | Population ages 10-14, female (% of female population) | Health | Population | 0.525833333 |
| SP.POP.1014.MA.5Y | Population ages 10-14, male (% of male population) | Health | Population | 0.531666667 |
| SP.POP.1519.FE.5Y | Population ages 15-19, female (% of female population) | Health | Population | 0.520833333 |
| SP.POP.1519.MA.5Y | Population ages 15-19, male (% of male population) | Health | Population | 0.525833333 |
| SP.POP.1564.TO.ZS | Population ages 15-64 (% of total) | Health | Population | 0.44 |
| SP.POP.2024.FE.5Y | Population ages 20-24, female (% of female population) | Health | Population | 0.519166667 |
| SP.POP.2024.MA.5Y | Population ages 20-24, male (% of male population) | Health | Population | 0.566666667 |
| SP.POP.2529.FE.5Y | Population ages 25-29, female (% of female population) | Health | Population | 0.47416666700000004 |
| SP.POP.2529.MA.5Y | Population ages 25-29, male (% of male population) | Health | Population | 0.4925 |
| SP.POP.3034.FE.5Y | Population ages 30-34, female (% of female population) | Health | Population | 0.36166666700000005 |
| SP.POP.3034.MA.5Y | Population ages 30-34, male (% of male population) | Health | Population | 0.38833333299999995 |
| SP.POP.3539.FE.5Y | Population ages 35-39, female (% of female population) | Health | Population | 0.415 |
| SP.POP.3539.MA.5Y | Population ages 35-39, male (% of male population) | Health | Population | 0.423333333 |
| SP.POP.4044.FE.5Y | Population ages 40-44, female (% of female population) | Health | Population | 0.52 |
| SP.POP.4044.MA.5Y | Population ages 40-44, male (% of male population) | Health | Population | 0.493333333 |
| SP.POP.4549.FE.5Y | Population ages 45-49, female (% of female population) | Health | Population | 0.485833333 |
| SP.POP.4549.MA.5Y | Population ages 45-49, male (% of male population) | Health | Population | 0.493333333 |
| SP.POP.5054.FE.5Y | Population ages 50-54, female (% of female population) | Health | Population | 0.4875 |
| SP.POP.5054.MA.5Y | Population ages 50-54, male (% of male population) | Health | Population | 0.4975 |
| SP.POP.5559.FE.5Y | Population ages 55-59, female (% of female population) | Health | Population | 0.483333333 |
| SP.POP.5559.MA.5Y | Population ages 55-59, male (% of male population) | Health | Population | 0.47 |
| SP.POP.6064.FE.5Y | Population ages 50-64, female (% of female population) | Health | Population | 0.485 |
| SP.POP.6064.MA.5Y | Population ages 50-64, male (% of male population) | Health | Population | 0.47083333299999997 |
| SP.POP.6569.FE.5Y | Population ages 65-69, female (% of female population) | Health | Population | 0.446666667 |
| SP.POP.6569.MA.5Y | Population ages 65-69, male (% of male population) | Health | Population | 0.47166666700000004 |
| SP.POP.65UP.TO.ZS | Population ages 65 and above (% of total) | Health | Population | 0.4925 |
| SP.POP.7074.FE.5Y | Population ages 70-74, female (% of female population) | Health | Population | 0.48416666700000005 |
| SP.POP.7074.MA.5Y | Population ages 70-74, male (% of male population) | Health | Population | 0.485833333 |
| SP.POP.7579.FE.5Y | Population ages 75-79, female (% of female population) | Health | Population | 0.534166667 |
| SP.POP.7579.MA.5Y | Population ages 75-79, male (% of male population) | Health | Population | 0.485833333 |
| SP.POP.80UP.FE.5Y | Population ages 80 and above, female (% of female population) | Health | Population | 0.5641666670000001 |
| SP.POP.80UP.MA.5Y | Population ages 80 and above, male (% of male population) | Health | Population | 0.48166666700000005 |
| SP.POP.DPND | Age dependency ratio (% of working-age population) | Health | Population | 0.4525 |
| SP.POP.DPND.OL | Age dependency ratio, old (% of working-age population) | Health | Population | 0.504166667 |
| SP.POP.DPND.YG | Age dependency ratio, young (% of working-age population) | Health | Population | 0.505833333 |
| SP.POP.GROW | Population growth (annual %) | Health | Population | 0.438333333 |
| SP.POP.SCIE.RD.P6 | Researchers in R&D (per million people) | Infrastructure | Technology | 0.626 |
| SP.POP.TECH.RD.P6 | Technicians in R&D (per million people) | Infrastructure | Technology | 0.668888889 |
| SP.POP.TOTL | Population, total | Health | Population | 0.420833333 |
| SP.POP.TOTL.FE.ZS | Population, female (% of total) | Health | Population | 0.415 |
| SP.REG.BRTH.RU.ZS | Completeness of birth registration, rural (%) | Health | Population | 0.20222222199999998 |
| SP.REG.BRTH.UR.ZS | Completeness of birth registration, urban (%) | Health | Population | 0.19555555600000002 |
| SP.REG.BRTH.ZS | Completeness of birth registration (%) | Health | Population | 0.295555556 |
| SP.REG.DTHS.ZS | Completeness of death registration with cause-of-death information (%) | Health | Population | 0.29 |
| SP.RUR.TOTL | Rural population | Environment | Density & urbanization | 0.3775 |
| SP.RUR.TOTL.ZG | Rural population growth (annual %) | Environment | Density & urbanization | 0.40416666700000003 |
| SP.RUR.TOTL.ZS | Rural population (% of total population) | Environment | Density & urbanization | 0.449166667 |
| SP.URB.GROW | Urban population growth (annual %) | Environment | Density & urbanization | 0.425 |
| SP.URB.TOTL | Urban population | Environment | Density & urbanization | 0.40416666700000003 |
| SP.URB.TOTL.IN.ZS | Urban population (% of total) | Environment | Density & urbanization | 0.46166666700000003 |
| SP.UWT.TFRT | Unmet need for contraception (% of married women ages 15-49) | Health | Reproductive health | 0.259 |
| ST.INT.ARVL | International tourism, number of arrivals | Private Sector & Trade | Travel & tourism | 0.5329999999999999 |
| ST.INT.DPRT | International tourism, number of departures | Private Sector & Trade | Travel & tourism | 0.479 |
| ST.INT.RCPT.CD | International tourism, receipts (current US$) | Private Sector & Trade | Travel & tourism | 0.517 |
| ST.INT.RCPT.XP.ZS | International tourism, receipts (% of total exports) | Private Sector & Trade | Travel & tourism | 0.498 |
| ST.INT.TRNR.CD | International tourism, receipts for passenger transport items (current US$) | Private Sector & Trade | Travel & tourism | 0.467 |
| ST.INT.TRNX.CD | International tourism, expenditures for passenger transport items (current US$) | Private Sector & Trade | Travel & tourism | 0.5489999999999999 |
| ST.INT.TVLR.CD | International tourism, receipts for travel items (current US$) | Private Sector & Trade | Travel & tourism | 0.49700000000000005 |
| ST.INT.TVLX.CD | International tourism, expenditures for travel items (current US$) | Private Sector & Trade | Travel & tourism | 0.608 |
| ST.INT.XPND.CD | International tourism, expenditures (current US$) | Private Sector & Trade | Travel & tourism | 0.599 |
| ST.INT.XPND.MP.ZS | International tourism, expenditures (% of total imports) | Private Sector & Trade | Travel & tourism | 0.39399999999999996 |
| TG.VAL.TOTL.GD.ZS | Merchandise trade (% of GDP) | Private Sector & Trade | Total merchandise trade | 0.434166667 |
| TM.QTY.MRCH.XD.WD | Import volume index (2000 = 100) | Private Sector & Trade | Trade indexes | 0.444545455 |
| TM.TAX.MANF.BC.ZS | Binding coverage, manufactured products (%) | Private Sector & Trade | Tariffs | 0.27899999999999997 |
| TM.TAX.MANF.BR.ZS | Bound rate, simple mean, manufactured products (%) | Private Sector & Trade | Tariffs | 0.395 |
| TM.TAX.MANF.IP.ZS | Share of tariff lines with international peaks, manufactured products (%) | Private Sector & Trade | Tariffs | 0.515 |
| TM.TAX.MANF.SM.AR.ZS | Tariff rate, applied, simple mean, manufactured products (%) | Private Sector & Trade | Tariffs | 0.40583333299999996 |
| TM.TAX.MANF.SM.FN.ZS | Tariff rate, most favored nation, simple mean, manufactured products (%) | Private Sector & Trade | Tariffs | 0.47333333299999997 |
| TM.TAX.MANF.SR.ZS | Share of tariff lines with specific rates, manufactured products (%) | Private Sector & Trade | Tariffs | 0.369166667 |
| TM.TAX.MANF.WM.AR.ZS | Tariff rate, applied, weighted mean, manufactured products (%) | Private Sector & Trade | Tariffs | 0.435 |
| TM.TAX.MANF.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, manufactured products (%) | Private Sector & Trade | Tariffs | 0.46083333299999996 |
| TM.TAX.MRCH.BC.ZS | Binding coverage, all products (%) | Private Sector & Trade | Tariffs | 0.35 |
| TM.TAX.MRCH.BR.ZS | Bound rate, simple mean, all products (%) | Private Sector & Trade | Tariffs | 0.42700000000000005 |
| TM.TAX.MRCH.IP.ZS | Share of tariff lines with international peaks, all products (%) | Private Sector & Trade | Tariffs | 0.41 |
| TM.TAX.MRCH.SM.AR.ZS | Tariff rate, applied, simple mean, all products (%) | Private Sector & Trade | Tariffs | 0.48 |
| TM.TAX.MRCH.SM.FN.ZS | Tariff rate, most favored nation, simple mean, all products (%) | Private Sector & Trade | Tariffs | 0.389166667 |
| TM.TAX.MRCH.SR.ZS | Share of tariff lines with specific rates, all products (%) | Private Sector & Trade | Tariffs | 0.306666667 |
| TM.TAX.MRCH.WM.AR.ZS | Tariff rate, applied, weighted mean, all products (%) | Private Sector & Trade | Tariffs | 0.438333333 |
| TM.TAX.MRCH.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, all products (%) | Private Sector & Trade | Tariffs | 0.495 |
| TM.TAX.TCOM.BC.ZS | Binding coverage, primary products (%) | Private Sector & Trade | Tariffs | 0.24100000000000002 |
| TM.TAX.TCOM.BR.ZS | Bound rate, simple mean, primary products (%) | Private Sector & Trade | Tariffs | 0.441 |
| TM.TAX.TCOM.IP.ZS | Share of tariff lines with international peaks, primary products (%) | Private Sector & Trade | Tariffs | 0.40083333299999996 |
| TM.TAX.TCOM.SM.AR.ZS | Tariff rate, applied, simple mean, primary products (%) | Private Sector & Trade | Tariffs | 0.42416666700000005 |
| TM.TAX.TCOM.SM.FN.ZS | Tariff rate, most favored nation, simple mean, primary products (%) | Private Sector & Trade | Tariffs | 0.330833333 |
| TM.TAX.TCOM.SR.ZS | Share of tariff lines with specific rates, primary products (%) | Private Sector & Trade | Tariffs | 0.289166667 |
| TM.TAX.TCOM.WM.AR.ZS | Tariff rate, applied, weighted mean, primary products (%) | Private Sector & Trade | Tariffs | 0.368333333 |
| TM.TAX.TCOM.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, primary products (%) | Private Sector & Trade | Tariffs | 0.291666667 |
| TM.VAL.AGRI.ZS.UN | Agricultural raw materials imports (% of merchandise imports) | Private Sector & Trade | Imports | 0.385 |
| TM.VAL.FOOD.ZS.UN | Food imports (% of merchandise imports) | Private Sector & Trade | Imports | 0.4725 |
| TM.VAL.FUEL.ZS.UN | Fuel imports (% of merchandise imports) | Private Sector & Trade | Imports | 0.3725 |
| TM.VAL.ICTG.ZS.UN | ICT goods imports (% total goods imports) | Infrastructure | Communications | 0.373 |
| TM.VAL.INSF.ZS.WT | Insurance and financial services (% of commercial service imports) | Private Sector & Trade | Imports | 0.328333333 |
| TM.VAL.MANF.ZS.UN | Manufactures imports (% of merchandise imports) | Private Sector & Trade | Imports | 0.4125 |
| TM.VAL.MMTL.ZS.UN | Ores and metals imports (% of merchandise imports) | Private Sector & Trade | Imports | 0.47583333299999997 |
| TM.VAL.MRCH.AL.ZS | Merchandise imports from economies in the Arab World (% of total merchandise imports) | Private Sector & Trade | Imports | 0.41916666700000005 |
| TM.VAL.MRCH.CD.WT | Merchandise imports (current US$) | Private Sector & Trade | Imports | 0.5458333329999999 |
| TM.VAL.MRCH.HI.ZS | Merchandise imports from high-income economies (% of total merchandise imports) | Private Sector & Trade | Imports | 0.46083333299999996 |
| TM.VAL.MRCH.OR.ZS | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | Private Sector & Trade | Imports | 0.455 |
| TM.VAL.MRCH.R1.ZS | Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | Private Sector & Trade | Imports | 0.4175 |
| TM.VAL.MRCH.R2.ZS | Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) | Private Sector & Trade | Imports | 0.38333333299999994 |
| TM.VAL.MRCH.R3.ZS | Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | Private Sector & Trade | Imports | 0.40666666700000004 |
| TM.VAL.MRCH.R4.ZS | Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | Private Sector & Trade | Imports | 0.41583333299999997 |
| TM.VAL.MRCH.R5.ZS | Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | Private Sector & Trade | Imports | 0.48416666700000005 |
| TM.VAL.MRCH.R6.ZS | Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | Private Sector & Trade | Imports | 0.38 |
| TM.VAL.MRCH.RS.ZS | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | Private Sector & Trade | Imports | 0.32666666699999997 |
| TM.VAL.MRCH.WL.CD | Merchandise imports by the reporting economy (current US$) | Private Sector & Trade | Imports | 0.575 |
| TM.VAL.MRCH.WR.ZS | Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | Private Sector & Trade | Imports | 0.22 |
| TM.VAL.MRCH.XD.WD | Import value index (2000 = 100) | Private Sector & Trade | Trade indexes | 0.4675 |
| TM.VAL.OTHR.ZS.WT | Computer, communications and other services (% of commercial service imports) | Private Sector & Trade | Imports | 0.376666667 |
| TM.VAL.SERV.CD.WT | Commercial service imports (current US$) | Private Sector & Trade | Imports | 0.590833333 |
| TM.VAL.TRAN.ZS.WT | Transport services (% of commercial service imports) | Private Sector & Trade | Imports | 0.44583333299999994 |
| TM.VAL.TRVL.ZS.WT | Travel services (% of commercial service imports) | Private Sector & Trade | Imports | 0.3175 |
| TT.PRI.MRCH.XD.WD | Net barter terms of trade index (2000 = 100) | Private Sector & Trade | Trade indexes | 0.301818182 |
| TX.QTY.MRCH.XD.WD | Export volume index (2000 = 100) | Private Sector & Trade | Trade indexes | 0.409090909 |
| TX.VAL.AGRI.ZS.UN | Agricultural raw materials exports (% of merchandise exports) | Private Sector & Trade | Exports | 0.3775 |
| TX.VAL.FOOD.ZS.UN | Food exports (% of merchandise exports) | Private Sector & Trade | Exports | 0.5425 |
| TX.VAL.FUEL.ZS.UN | Fuel exports (% of merchandise exports) | Private Sector & Trade | Exports | 0.45 |
| TX.VAL.ICTG.ZS.UN | ICT goods exports (% of total goods exports) | Infrastructure | Communications | 0.406 |
| TX.VAL.INSF.ZS.WT | Insurance and financial services (% of commercial service exports) | Private Sector & Trade | Exports | 0.375 |
| TX.VAL.MANF.ZS.UN | Manufactures exports (% of merchandise exports) | Private Sector & Trade | Exports | 0.480833333 |
| TX.VAL.MMTL.ZS.UN | Ores and metals exports (% of merchandise exports) | Private Sector & Trade | Exports | 0.36666666700000006 |
| TX.VAL.MRCH.AL.ZS | Merchandise exports to economies in the Arab World (% of total merchandise exports) | Private Sector & Trade | Exports | 0.4575 |
| TX.VAL.MRCH.CD.WT | Merchandise exports (current US$) | Private Sector & Trade | Exports | 0.525 |
| TX.VAL.MRCH.HI.ZS | Merchandise exports to high-income economies (% of total merchandise exports) | Private Sector & Trade | Exports | 0.475 |
| TX.VAL.MRCH.OR.ZS | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) | Private Sector & Trade | Exports | 0.42416666700000005 |
| TX.VAL.MRCH.R1.ZS | Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | Private Sector & Trade | Exports | 0.513333333 |
| TX.VAL.MRCH.R2.ZS | Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) | Private Sector & Trade | Exports | 0.454166667 |
| TX.VAL.MRCH.R3.ZS | Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | Private Sector & Trade | Exports | 0.505833333 |
| TX.VAL.MRCH.R4.ZS | Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) | Private Sector & Trade | Exports | 0.485833333 |
| TX.VAL.MRCH.R5.ZS | Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) | Private Sector & Trade | Exports | 0.433333333 |
| TX.VAL.MRCH.R6.ZS | Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) | Private Sector & Trade | Exports | 0.48416666700000005 |
| TX.VAL.MRCH.RS.ZS | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | Private Sector & Trade | Exports | 0.405 |
| TX.VAL.MRCH.WL.CD | Merchandise exports by the reporting economy (current US$) | Private Sector & Trade | Exports | 0.589166667 |
| TX.VAL.MRCH.WR.ZS | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) | Private Sector & Trade | Exports | 0.217 |
| TX.VAL.MRCH.XD.WD | Export value index (2000 = 100) | Private Sector & Trade | Trade indexes | 0.39916666700000003 |
| TX.VAL.OTHR.ZS.WT | Computer, communications and other services (% of commercial service exports) | Private Sector & Trade | Exports | 0.41416666700000004 |
| TX.VAL.SERV.CD.WT | Commercial service exports (current US$) | Private Sector & Trade | Exports | 0.5016666670000001 |
| TX.VAL.TECH.CD | High-technology exports (current US$) | Infrastructure | Technology | 0.54625 |
| TX.VAL.TECH.MF.ZS | High-technology exports (% of manufactured exports) | Infrastructure | Technology | 0.35125 |
| TX.VAL.TRAN.ZS.WT | Transport services (% of commercial service exports) | Private Sector & Trade | Exports | 0.3575 |
| TX.VAL.TRVL.ZS.WT | Travel services (% of commercial service exports) | Private Sector & Trade | Exports | 0.46166666700000003 |
| VC.BTL.DETH | Battle-related deaths (number of people) | Public Sector | Conflict & fragility | 0.206666667 |
| VC.IDP.TOTL.HE | Internally displaced persons (number, high estimate) | Public Sector | Conflict & fragility | 0.0 |
| VC.IDP.TOTL.LE | Internally displaced persons (number, low estimate) | Public Sector | Conflict & fragility | 0.0 |
| VC.IHR.PSRC.P5 | Intentional homicides (per 100,000 people) | Public Sector | Conflict & fragility | 0.5608333329999999 |
| VC.PKP.TOTL.UN | Presence of peace keepers (number of troops, police, and military observers in mandate) | Public Sector | Conflict & fragility | 0.0 |
| WP_time_01.1 | Account at a financial institution (% age 15+) | Financial Sector | Access | 0.0 |
| WP_time_01.2 | Account at a financial institution, male (% age 15+) | Financial Sector | Access | 0.0 |
| WP_time_01.3 | Account at a financial institution, female (% age 15+) | Financial Sector | Access | 0.0 |
| WP_time_01.8 | Account at a financial institution, income, poorest 40% (% ages 15+) | Financial Sector | Access | 0.0 |
| WP_time_01.9 | Account at a financial institution, income, richest 60% (% ages 15+) | Financial Sector | Access | 0.0 |
| WP15163_4.1 | Mobile account (% age 15+) | Financial Sector | Access | 0.0 |
| WP15163_4.2 | Mobile account, male (% age 15+) | Financial Sector | Access | 0.0 |
| WP15163_4.3 | Mobile account, female (% age 15+) | Financial Sector | Access | 0.0 |
| WP15163_4.8 | Mobile account, income, poorest 40% (% ages 15+) | Financial Sector | Access | 0.0 |
| WP15163_4.9 | Mobile account, income, richest 60% (% ages 15+) | Financial Sector | Access | 0.0 |
| SCP | Social Contract Product | Index | Social | 1.0 |
| SC | Social Contract | Index | Social | 1.0 |
| SCL | Social Contract Loss | Index | Economic | 1.0 |
Adoption
What barriers can there be to adopting an understandable, transparent, scientific approach that builds economies reliably?
It took Einstein’s 1905 Theory of Relativity 20-years to be accepted in the west; professors preferred status-quo explanations of Ether at the time. Adoption, or the normal resistance to change, will slow TE’s acceptance similarly.
Human nature explains this; our professors, awarded Nobel laureates, experts, and schools have all written textbooks, authored articles, lectured, peer-reviewed one another – and all of it is based on easily proven-failed theory. They have been assigned positions in high posts and asked to lead prodigious programs, based on their mastery of fiction – and that “miss” is going to require some explanation
It’s not our fault; we can’t understand all of the equations that govern time and space. Bloodletting and lobotomies were the highest forms of new science not so very long ago, and then those practices were discounted in a never-ending cycle of new learning and adoption
A simple new science can suggest that professional knowledge, approach, and advice has been questionable; bruising egos and besmirching the reputations of high-IQ and well-intended and esteemed researchers. In hyper-competitive mature capitalisms, there are compelling personal and professional reasons for established experts to prefer to discount or adopt-indirectly only, and then to adopt only by their own tellings of their wondrous new scientific approach
Given time, experts update their researches and assimilate the new material, while minimizing any embarrassment.
TE is important, so we should be seeking opportunities to minimize adoption timelines – so that scientific approaches can be leveraged as quickly as possible
Context-Driven Approach
Important to any presentation of statistical information – is Context. First, presentations must compare successful nations, they must use most recent data, and they must present only credible measures. An example of a credible measure is any measure that is proven highly causal to an advancing economy. Context in history is relevant too; Debt was forgiven for most European countries in the 1930s from 25% to 250% of their GDP 
Is a 3% Salary increase good? No – it’s an embarrassing stat. Since the 1980s, individual and household salaries haven’t budged. It would take a 100% increase just to come back to balance. Are stock market ups and downs meaningful? No. GDP lifts – No. See Credible Measures explained in the Proofs of the World at our Hands Report
Important Roles
Right Plans – and not just Macroeconomic Frameworks, (see Section 2 of the World at our Hands Report) are important to build and manage in every nation
The important role of Academia is to prepare our adults and children to understand and maintain a Sustainable Society. Despite our investment in universities and in the teaching of business and economics faculties for 2500-years, however, 68% of 220 countries find that their economy is collapse-trending and that large percentages of their population are unproductive today. See TASK (The Academic Sustainable Societies Challenge)
Capitalism is important; not the Herbert Hoover kind of capitalism, the FDR kind of capitalism only. Today, 220 nations are capitalisms with social programs, and around 25% social ownership. Capitalism and laissez-faire monetizes a nation’s opportunity very well during an economic boom era
Social Contract is critical and causal to economic success or collapse. A strong social contract builds a strong economy 100%; a low social contract creates a collapse-trending economy 100%
Businesses monetize economic opportunity but are unsustainable too. SDG companies must be SEEDed and all need monitored for economic contribution
Governments must also balance a hybrid system of token-passing and entirely-automated non-token passing. Business and finance are unsustainable so monetary cycles must be managed. As automation continues, Governments must also transition to the completely automated provision of Good Lives – free for the things we need, and token-based for the things we want
See a full explanation of “Who does What in Method 2 of TE’s World at our Hands Report
When unsustainable policies detriment the economy and population, businesses are impacted too. GDP reports hide these losses – as do accounting and finance industry reporting and bonus systems. In this way, trillions of dollars are lost annually to economies suffering from low opportunity created by their weak social contracts. Social Contract loss is estimated to cost every nation an average of $4.3 billion per day
Fruitless currency wars fail to bolster growth; populism and trade wars follow while a powderkeg of political stress can ignite into real wars.
Or, your second option is to simply create real opportunities without war.
If wars reset inequity and this reversal leads to an economic boom reliably, instead of having a war why not simply Reset our token-passing monetary system economies so that they can balance incomes to cost of living proactively – and this will restart a fresh new monetary system cycle once again
Transition Engineering
The science of Transition Economics (TE) explains that Aristotelean Right Plans build and maintain sustainable economies and societies.
Right Plans have two parts: the first part explains sustainable economic policies, and the second sustainably produces the goods, services, and well-being we all need. CSQ Research curates two engineering plans for these latter needs – Worthwhile Projects #WPProjects is U.N.-led plan, and Worthwhile Industries is Finance and Government-led 
Transition Economics ensures that only proven, sustainable Government Policy is permitted at ballot boxes, as this is critical to large democracies during mature capitalisms. It seems that small democracies can more readily recognize and vote for sustainable policies by themselves, New Zealand’s five-million population manage without even a Constitution.
In today’s mature capitalism, ALL large democracies that don’t have FDR’s Second Bill of Rights in Constitution – have collapse-trending economies
Engineering Worldwide Abundance
Managing Mature Capitalisms
Transitioning to sustainable policy brings a strong strategic plan, education, best-practice epistemology in project and change management process, and reporting. 1837’s Great Depression was ended in the USA by a small-population of 12-million Americans who re-invested its ten-times-increased Gold Reserves from the California Gold Rush.
Opportunity alone reset the U.S. economy from a Great Depression that was worse than the 1930’s Great Depression. These policies created the Industrial Revolution of the 1850s. This fact makes one realize that today’s offshore storage of corporate profit is not a sustainable policy Like then, war is completely avoidable and even “immature” in Transition Economics terminology.
It only takes your vote to correct economic turmoil and RESET to balance once again.
Read about the ACT Party to understand how to quickly implement Transition Economics Resets in any nation. End of War is “the” goto Democratic Reform standard for a cited explanation of how we can transform our systems of democracy to work well for large populations.
Larger civilizations should make life easier for everyone – in theory, but the reality is that our constitutions were designed when we were small-population nations. These systems were not designed to prevent oligarchies and to prevent unsustainable policies that profit a few elites and otherwise lead to the austerity and starvation wages that created World Wars I and II.
No Economic Policy is uncorrectable – in Housing, Unemployment, Welfare, Taxation, Commerce, etc. and Transition Economics explains the research and methods to make changes responsibly
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Click here to read about TE Maturity Modeling and TE-Mature Policy
Fully 68% of global economies were in a Collapse trending at the time of this writing. Transition Economics (TE) offers an important teaching and learning framework that explains imbalance is normal and correctable
This impromptu video is out-of-date and needs refreshed, but it captures a snapshot in time during the early development of Transition Economics before a Sustainable Societies Programme was formalized at CSQ Research
Inequity stalls Growth and builds Debt
Transition Economics is essential today because our economies have run their normal course and are no-longer sustainable by the status-quo policies that worked so well at the start of a new “boom” economic cycle in the 1950s. Government did not have to protect Social Contracts as individuals had sufficient opportunity to do this for themselves. Per the normal cyclic behaviour of 60-year repeating capitalist economies, our economy will collapse until we realize that we must change our Conservative Right Policy to permit a responsible economic reset to take place. To order the book Transition Economics, click here. 
We see the same phenomenon in any Monopoly Game. Strategies that worked well at the start of a game, do not work at all near the end of the game. But if we change the rules, so that the victor returns a significant percentage of assets to the players of the game so that all can be productive and enjoy the game, this game can continue sustainably for an indefinite period of time.
In the Transition Economics chart above we see Opportunity is a waving black line; high at the beginning of a cycle and low in a mature capitalism. TE-Mature Policies vary – from capitalistic, monetizing policies early on in the cycle, back to sustainable, affordable policies as needed to reset Opportunity. These adjustments have resulted in a steady line of Opportunity in Norway, Ireland and most small-democracy and Monarchy-led nations today.
Credible Economists recognize Longwave cycles of economic boom and bust, as documented 40-times back to Ancient Babylon on the Code of Hammurabi (1763 BCE) and in Leviticus 25/26. TE Maturity Models and TEP Charts discuss #TEMature policies that sustain Spring Economies and avoid Winters altogether, but if these steps are not taught to governments and not enacted, Winter Phase economies MUST switch to a number of key new policies in housing, in guaranteed reverse-tax incomes, and in automation engineering supports which can safely and responsibly restore incomes, spending power and restart a new and viable Economic Cycle once again – without war and revolution. 
Failing this Transition, economies continue right along a collapse-trending – until either “new wealth” (as in the California Gold Rush example above, which ended the Great Depression of 1837), or responsible government policy intervenes. Without these resets, we have seen wars / revolutions / populism / dark ages and similar disastrous events reset the economic cycle by distributing wealth forcefully. This is what John F. Kennedy explained in 1962 …
“Those who make peaceful revolution impossible will make violent revolution inevitable”
Mature capitalisms are normal, predictable, and correctable – and so are the wars and hardship they create. Once we teach our high-school students (and future voters) the strategies that proactively prevent these collapses, we should be able to maintain a sustainable capitalism indefinitely. The quicker and more thoroughly we reset to a new 60-year Financial Cycle, the quicker we will all realize a Good Life in a new boom economy. 
A Quality Education
TASK is The Academic Scientific Societies Challenge (tassc) – the rating of academic universities and institutions assuring that science in curricula can reliably create experts, leaders, and successful societies. The Annual Universities TASK Reports rank universities highest by their record teaching quantitative highest-probability-of-success policy and approach.
TASK prefers Universities that govern all socioeconomic faculties via a Global Leadership and Scientific Societies (SSP) Standard of Research (see GL-BOK). Socioeconomic faculties include Economics, Business, Finance, Law, Government, Political and Social Science.
TASK ensures that Academic Curriculums teach Sustainable Policy only
Transparency
Source statistics for TEPs are available online so anyone can confirm there these results. Data must be properly cited and summarized credibly Edgar Alan Poe’s famous truism – with my Dad’s twist:
Believe nothing you hear, half of what you read, and everything you see
Transition Economics – Simple, powerful, and truthful
Any Science must be defendable by observation. Transition Economics’s approach is observed to have worked well in Monetary Systems over a period of 4,000 years of historical records. 
A new Science needn’t seem intimidating to us. In the words of Sir Isaac Newton, the founder of two sciences – in physics and in mathematics …
Truth is ever to be found in simplicity, and not in the multiplicity and confusion of things
In TE, an indicator’s causality can usually be confirmed with a simple frequency distribution TE Proof chart that any grade-9 student can create, and we rank all causality scores using data science lessons that a grade-12 student can learn in a spreadsheet or computing course as well
Causality through Indicators and Indices
Transition Economics Proof (TEP Charts) and historical studies are based on individual Indicators – and on Indices / Indexes. Similar to the S&P 500 Index, a TE-Index can be based on a thematic grouping of indicators.
Social Contracts, are the basics that everyone needs – food, shelter, reliable incomes, security, healthcare, education, etc. To build this index we consolidate indicators measured for the past 60-years in every country – education, longevity, inequity, suicide, and poverty
We can choose from a large number of social well-being measures – and thirteen social problem measures as well, and the best indexes become causal measures. A causal measure is one that we can rely upon to determine is a nation advancing or collapsing-trending. A causal measure builds strong economies 100% of the time when high, and collapses economies 100% of the time when low – see the following charts as examples
Indices measure topics not easily captured in a single measure and they can also turn seemingly intangible qualities into quantifiable measures as well. For example, we can compare Production vs Consumer Economies, Social Contracts, Social Contract Loss, and a Social Contract Product (to pair against) GDP
Do strong Social Contracts build advancing economies consistently? To answer this question, we use transparent Transition Economics (TE) Proofs (TEP) Charts. See how these indicators were selected in the thesis End of War):
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TEP Charts are frequency distributions; these specific TEPs survey 158-countries to confirm that high social contract nations have advancing economies – both reliably and progressively – up to 100% of the time
These TEP Charts show something else too. Not only do strong social contracts increase the probability of an advancing economy (see the right upper orange line), but weak social contracts increase the probability of a collapse-trending stalling economy too (seen on the left side of the orange curve). In a TE Proof Chart, every plot is a survey of the number of countries indicated on the blue line here The Social Contract measures the most economically beneficial social measures of an economy:
| Social Contract |
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 Education |
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 Income Inequity |
 Longevity |
 Suicide |
 Poverty |
The SCP Report (Social Contract Product), adds the most beneficial financial measures to Social Contract:
| The SCP Report |
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 Export per Capita |
 Trade Balance |
 Debt |
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Social Contract |
Are these truly the best measures of successful economies? For 2019 we didn’t have the World at our Hands Report , we didn’t have scoring – which is a ranked list of every available TEP Chart Survey, that we have now, and we didn’t have MEMS.
In 2021, we know a lot more and we can revise the SCP and Social Contract Reports to include the best social and financial measures possible. Today, 100% of The SCP’s top-20 countries have advancing economies; that’s a much better indicator of economic success than the GDP, HDI/IHDI, or other Happiness Index reports offer today Indexing cautions are obvious but sometimes subtle too.
One cannot hope to measure the importance of Export – based on Export per Capita; checking an indicator with itself is an obvious problem. Similarly, one cannot measure high-income nations based on gender stats easily because fertility rates are unsustainable in 94% of high-income nations.
Perfect Causal Aggregates
MEMS‘ capabilities now permit TE to seek and find “perfect” causal aggregate indicators from a dozen and more indicators, and to see their trendings over time as we see here.
A causal indicator can be monitored to ensure that our national and regional economic development and business investment programs – are successfully improving an economy. CSQ posts a subset (25,000 causal aggregates) on WAOH, and then combinations of six aggregates or more are available with MEMS.
TE takes the guesswork out of Economic Development and presents important new opportunities too.
Opportunity – by Nation, by Industry, and by maximum benefit
TE permits us to view Opportunities easily; by nation, by industry, and by social and economic impact (priority and importance) as well.
Only our imagination constrains the scientifically valid and valuable insights that can be summarized using a quantitative TE approach.
The World at our Hands Report
A complete library of TEP Surveys resides in the World at our Hands Report. Researchers are invited to contribute to the library and CSQ Research publishes updates on a regular basis
Cause and Effect
Russian Economist Nikolai Kondratieff noticed that monetary system cycle Longwaves also coincided with technological advances. Economic opportunity, capital, and strong social contracts became the cause for the effect of a boom in technological innovation.
The Great Depression of 1837 was a Great Depression as bad as 1930s’ and worse. It was ended by the California Gold Rush which multiplied the Gold Reserves in the U.S. ten times. This great infusion of capital meant that banks could extend lending easily to engineering firms and industrialists as was needed to build the Industrial Revolution of the 1860s.
Similarly, the high opportunity climate of the 1960s inspired the Cold War’s greatest advances in history. With no war to slow research and unlimited resources afforded to them, scientists created some of the greatest advances that mankind have ever known in the short span of just 25-years. 
Economies – both good and bad, are caused by something. Transition Economics’s approach is to use TE Proof Charts – TEPs for short, and similar infographic tools to understand how dramatically does any policy contribute to, or cause, an advancing economy.
As it makes little sense to compare your country to other’s with failing economies, we compare every policy to understand “is it a correlation with”, and “does it cause an advancing economy” as well. A policy with a strongly causal relationship to advancing economies builds a steeply verticle TEP Chart, and less economically beneficial policies, build a flatter and more horizontal chart.
All policies are then ranked by causality (the probability of this indicator building advancing economies). See End of War – Managing Mature Capitalisms for a better explanation in Chapter 4.
How to Read TEP Charts
Policy |
How to read TEP Survey Charts and to assess Causality |
DebtTEP Score = .20 |
Little credibility – Sustainable but not significantly so, as we see in international surveys. More context is needed to understand managing debt. Debt forgiveness is normal part of economic resets – as recorded in the 1930s and as recorded in 4,000 years of written record
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Export % GDPvs Export per Capita TEP Score = .55 |
Yes – Export is generally Causal, but not in all circumstances
“Advancing Economies” are a measure of nations with positive Trade Balances. For this reason, one can expect a comparison of Exports vs Trade Balance to look causal unfairly; see the TEP chart of Trade Balance here to visualize this. To accurately assess causality in this case, refer to the Social Contract measures and other CAUSAL indicators that have no Export component (a list of TE Causal Indicators is shown below). When you make this comparison, you should find that high income nations suffer at higher levels of Export as a percentage of GDP (above) – and more investigation may be warranted. Next steps will be to analyse exports for trade surplus nations only, and similar comparisons will help to determine that current export targets and strategies are optimal |
Education Index & PHD Attainment |
Yes – Causal
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Higher Averages and Lower Averages |
Some survey groups have a higher average number of advancing economies – like High Income Nations, and other survey groups have lower average probabilities of advancing
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Sweet SpotsFinancial Industries are helpful to a point – and then harmful after that “sweet spot” |
Some Indicators are Causal to a point, but not beyond that point
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We often see benefit in changes both positive and negative
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| A Wall, Russian Voting Collusion, Chinese Virus? <Insert any other for-TV Drama here> | No – We can also call these reports the “Hate Agendas”. Messaging like this is most often used to suggest there are sides, opposites, better and worse, black versus white, etc. when in fact there is only one “side”. The simplest fact is constant – “Mankind is our Business” as Mr. Dickens put it so well. The most important and sustainable policy is Empathy and Respect – Good, as the Bibles term it. Immigration, like Laissez Faire in Business – for two examples, are unsustainable policies. This means Laissez Faire policy is allowable and even beneficial, but only during economic boom periods, and not at other times of imbalance like today’s mature capitalism Sustainable Societies really are just that simple to maintain – always vote for sustainable policies at times of imbalance, and then you can relax these controls during boom times so as to capitalize/monetize abundant opportunity |
GDP, Stock Market Performance, Unemployment, Right & Left Policy, Supply & Demand, Disposable Income |
NOT CAUSAL – Misleading MessagingTE categorizes “Political Opportunism” Reporting because none of these reports are causal to an advancing economy, yet Politicians use them because they can easily be made positive. These reports are used to mislead democracies who are not educated in sustainable policy, to advance themselves – see a fuller explanation in The World at our Hands Report Econometric Library in the “Reports” tab |
World War III by 2030?
Similar to the wars per decade in this chart, we see similar 60-year “U”-shapes in statistics for inequity, debt, savings, Bond Yield, PPI (U.S. Pricing) and also in social KPIs from longevity, unemployment rates, suicide rates, and similar.
If the timing of starts for World Wars I & II were to repeat, a failure to correct Social Contracts by 2030 could very well result in World War III.
Today’s is the first mature capitalism to take place in a mature nuclear era. For anyone who isn’t very clear on this point, World War III could be an extinction-level event affecting 100% of the human population of this planet.
The primary concern of Transition Economics, therefore, is to identify the necessary ongoing adjustments in Economic Controls and Government Policy that must be made in order to manage the balance in a naturally recurring 60-year Monetary System Cycle.
Why 60-years? Simple Compound Inflation
Today’s World GDP is fifty-nine times the GDP in 1960. A 1% inflation rate now, amounts to a 60-times increase in cost-of-living and spending by 1960’s measures.
Why has there been such a large increase – and why are these exponential increases a mathematical certainty?
Annual inflation is calculated from GDP values taken one year prior, which included all of the accumulated inflations of prior periods. Like interest rates, a 10% inflation last year plus a 10% inflation this year, does not amount to a 20% increase, it amounts to a two-year increase of 21%, a five-year increase of 61%, and so on.
Today, 1% to 14% annual inflation rates have compounded for 60-years from the start of our present monetary system cycle. If salary to cost-of-living ratios get out of balance (and they usually do), the gap – like the inflations, increase exponentially – and this guarantees that monetary systems are not sustainable without either ongoing balancing or a “Reset”.
Controls in housing, monetary systems, interest rates, and wealth distribution, must change as the monetary system cycle matures.
Kondratiev called these phases – expansion, boom, recession, and depression – Spring, Summer, Fall, and Winter. The black line in the chart below notes opportunity within an economy.
Great Depressions have come every 60-years in capitalist societies; or shorter, if inequity failed to reset properly in the previous cycle. The European Dark Ages (500 -1300 AD approximately) is an example of a global economy that never reset inequity until it remained in depression for hundreds of years. World War II was certainly created by inequity as was World War I and dozens of revolutions globally when governments failed to reset inequity after the Panic of 1893.
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Kondratieff first wrote about this phenomenon of Longwaves in 1925; Howard Schumpeter brought the study of Longwave Economics to Harvard in the 1940s, which he renamed Kondratieff Waves in tribute to its founder – or simply K-Waves.
K-Waves in Capitalist societies have since been confirmed back to 930 AD China in numerous academic thesis, and Edward Tilley suggested in 2015 that these phenomena are confirmed again in records of the Economic Controls, the pre-emptive 50-year corrections made by “Jubilees” (Debt forgiveness & Wealth Redistribution), that are recorded on the 1760 BCE Code of Hammurabi and also Leviticus 25-26.
Click on charts to see Hi-Res image …
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In the right-most chart, note how some countries were able to keep inequity from forming a U-shape again as the monetary cycle matured, while other countries could not.
What about the leaders of Monetary System Cycles?
Making a Monopoly Game Sustainable
At the point where players begin to drop out of a Monopoly Game, Transition Economics introduces new rules and new policies, that reset the ability of all players to continue – and to be prosperous indefinitely. In the same way that policy changes restart or sustain a game of Monopoly, a new cycle of the monetary system must be initiated too. FDR (Franklin Delanor Roosevelt) created the greatest economy in history – the American Dream – with policies of Nationalism, Full-Employment, an empathetic strong social contract – which included social programs, low costs-of-living that also afforded titled-property home ownership, and perhaps the greatest contribution – debt forgiveness and wealth distribution. For 20-years, America taxed the rich 92% income tax and 80% estate tax. The correction of inequity and a strong manufacturing demand with high living wages – was all it took
Henry Ford’s High Industrial Wages created Prosperous Economies
Henry Ford – made the greatest contribution of all time to international economic growth, through his living wage policy. We see in this chart that the first industrial revolution’s sweat-houses in the 1750s made no significant economic impact.
The second industrial revolution of the 1890s was a different story because of Henry Ford’s high wage policies that rippled out across industrializing nations
Adolf Hitler – turned Germany’s economy around even faster than FDR – through Nationalism, Full-Employment, Social Contract and wealth distribution, but his administration forgot essential “Empathy”. Respect – toward both neighbors and also toward its own citizens was the failing that undid any benefits – and this is seen similarly in the downfall of most failed civilizations in history – Roman, Mongal, Byzantine, and so on
Donald Trump – Addressed: Nationalism, Full-Employment, Low-Immigration Unaddressed: Dramatic improvements in Social Contract, half inequity, Empathy & Respect (Right and Left is irrelevant; only sustainable policy matters and there is only one side), Cost-of-living, debt forgiveness, and affordable home ownership
Sustainable Policy: are the Causal and Sustainable Policies presented in the World at our Hands Report
Unsustainable Policy – in Mature Capitalisms: Low-Tax, Death-Tax, Small Government, Open Markets, Middle Class, Usury, High Cost of Living, Globalization, Immigration – read Dickens, Tolstoy, Byron, Hobbes, Rousseau, Hugo, Hammurabi, and others to understand the dystopias that these policies built during various mature capitalisms.
The American War for Independence was a mature capitalism, as was the French Revolution, Russian Revolution, Age of Enlightenment, and the transition from Monarchies. The fall of most empires through history can be explained by their adoption of unsustainable policies … Yes, of course we are in a Great Depression today – there is “problem” to solve.
Wealth Redistribution Policies are needed urgently in housing (perhaps revisiting land-grants instead of Usury through unpayable mortgages), Interest Rate recovery protections, Usury Prevention Laws, Graduated Tax (92% for Rich), Offshoring & Foreign Ownership Protections, Income guarantees and working Safety-nets, Automation of Basics of Life – see #WPProjects.
The Good News? The deeper the Wealth Redistributions in a Winter Phase and reset; the longer and more successful is the next new 60-year monetary system cycle – and American Dream.
The Trap? Is that Right and Left Policies are irrelevant. Today Right and Left Political Parties sponsor unsustainable policies only – Zero Sustainable Policies – with the corresponding high-probability of collapsing your nation reliably via those low-probability-of-success policies. Every vote becomes socially irresponsible, and that is The Trap we see in large democracies that didn’t embed FDR’s Second Bill of Rights into their Constitution today. We saw this is last October’s Canadian Federal Election very clearly …
Vote only for Sustainable Policy – anything else is Socially Irresponsible
Inequity is expensive. Who is paying the bills?
In any discussion of Economy, it’s important to realize that WE ALL ARE paying the bills. Inequity costs $4 for every $1 spent to maintain it. We can have performance bonuses and rich people, but when a large percentage of citizens do not have the opportunity to produce export wealth for a country, it makes the economic pie smaller and costs economies trillions of dollars annually To understand the important role of supports for the Middle Class AND for “The 49%”, see this article. 
During this next turn of the cycle, we are also transitioning from our current Manual Economy to an Automated Economy. Our technology has advanced sufficiently to support this important event in our Human Evolution and this is a really exciting time because automation that gives us the basics of life – like food, energy, shelter, and transportation automatically – can be considered – Renewable. Once Renewable Automations are scaled to the entire planet, we might never have to transition out of another Capitalist Cycle again – not 60-years from now – nor forever. Our reliance on money diminishes with this automation until we can finally ween off of any counter-productive influences that debt and monetary policies have brought into our societies as well.
“Imagine how foolish will we all look once we have permitted special interests to safeguard inequity – even at the potential risk of obliterating all in a nuclear war – at the very same time that humanity could be deploying our renewable automations to make money as unnecessary as we might like?”
Transition Economics – Edward Tilley, 2016
Transition Economics guides you through the Scientific Method of aligning policies that work to accomplish both Automation and a renewed, sustainable Cyclic Prosperity easily.
Automation and Jobs
Strong Social Contracts build strong Economies, and they are inexpensive too once robots build life-cycle-managed housing automatically. No-one starves when food is delivered to every home without a human hand required too.
Like Google’s Driverless Car from 2013, food and shelter are both examples of automation projects that can be built within just 2 to 5 years. There is also no “emerging” technology required here either; it only takes focus to build socially important assembly lines that also build a self-sustainable strong economy.
Social innovation just takes good leadership, SEED Investment, and strong processes. 
Automations are forecast to reduce the total number of jobs by up to 50% over the next 20 years; that’s approximately 970 jobs lost per month per million population, lost per month.
Jobs being lost to automation are not new, the automated weave, Bessemer Steel Process, the cotton gin, water pumps, electricity, farm tractors, and modern assembly lines have all reduced the need for repetitive labor jobs. Thousands of lives were lost to riots and hardship in these transitions when Governments failed to ensure a strong social contract. “Government for the People” (Democracy) must ensure that it supports the transit of its citizens to other forms of income and retraining through these innovation-driven changes.
Transition Economics studies the relationships between social contracts, automation, exports, guaranteed incomes, government investment, and infrastructure spending. This has not been addressed by previous theory scientifically.
TE Mature Policy & Models
Transition Economics is a new science, there is much work, improvement, and learning ahead. Click here to view Transition Economics’s Maturity Models and TE-Mature Policy 
