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The Global Leadership Book of Knowledge

“Transition Economics (TE) is a new, easy to learn, game-changing science. Where Economics is old, theoretical, unscientific, non-deterministic, proven false logic and consensus, TE’s evidence‑based approach and quantitative data science is simple – and proves advance or collapse to double economies reliably”

Transition Economics NOW!

Economics is an evidence-based computer science, and not the math-based theory and ideology taught in our universities today. Theory is not needed in Transition Economics and TE is monitored to ensure that its 100% scientific approach is maintained

Productivity – builds strong economies reliably, while Wealth theory’s Micro and Macroeconomics Profit and Oligarchy-led guiding principles provably collapse both economies AND societies. Cite: Proof

The Book - The Scientific Update of the BibleWith GL-BOK

Leadership and Policy ensure collapse or advance 100%.  Teaching evidence-based science is essential in all faculties of Economics, Business, Finance, Social, Law, and Government Studies. Science is measurable, observable, and repeatable; and, it calculates the same result whoever analyses it, unlike today’s theory and ideology-based approaches

The curricula that our universities teach in these faculties today, however, are belief-based theory and ideology 100%

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 assumed important but never confirmed to assure advance by evidence-based survey and observation. There is no evidence to support that any of this curriculum builds an advancing economy, and there is much evidence to confirm that wealth theory collapses economies reliably too

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

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

Graduates by Gender

Graduates by Gender – A Failing Grade for Universities and Colleges

In Education, Marx and Friedman were unscientific because none of their terms and approaches are measurable in evidence. Theory-only curricula and Neoliberalism collapsed every society in history yet our universities teach only this

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

Education has become an elephant in the room; courses are too long and expensive, dropout rates are too high, lessons are theory-only in 75% of credentialed programs, and we are recreating an irresponsible and expensive Tytler Cycle through our  training gaps in civics and human advance

The Tytler Cycle

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

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

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

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

Common Sense: is the social value of our decisions, and TE can measure and improve this as well

Zero Dangerous and Expensive Theory

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

The Book - The Scientific Update of the Bible

Perhaps surprisingly, the Bible was scientific. Its “Revelation” used storytelling to warn us not to “tattoo ourselves” with the names of economic powers (“the beast”) who would then subjugate us into owners and slaves, as we lived for 1,000 years in the advanceless medieval dark ages

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

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

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

Bill Clinton, 1992

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

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

Once you learn a 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

Transition Economic’s top-ranked causal indicators are the measures that economic development groups can target, improvement, and thereby build reliable advance in any country

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

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

Lessons Learned

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

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

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

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

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

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

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

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

TE can Double Economies

Social Contract Loss per economy as a % GDPTE can double economies reliably – as we see in this pie chart report 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 are widely regarded as fail-safe businesses, and yet this reliable success is not based on winning every transaction either. Casinos are successful only when they have a high volume of transactions as this ensures that their high probability of success games can win more often than lose for the house. Every seat in a casino has a probability attached to it, and can only fail if insufficient players attend the casino

An economy is a high transaction system that usually assures near-unlimited transactions, so mathematically beneficial policy will all create advance in any economy reliably. The same is true in reverse, as unsustainable policy or policy with a low probability of success, will reliably collapse any nation also.

This is the reason that ACT Parties are so important, as they ensure Governments only run policies proven in econometric science to Advance nations

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 today’s 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 creates social and economic advance and collapse 100%  – Edward Tilley, GL-BOK

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

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

Morality – is Advance

Every generation calls themselves “Modern”, but in the context of history’s hundreds of generations, few truly are.

Secular theory and ideologies (false idols) can collapse us just as quickly and assuredly as did the religious theories and ideologies of the medieval church during the Dark Ages, or NAZIs, Rome, Persia, Oligarchy, or any economic power “Beast”

For the philosophers in our midst, it’s important to realize that any civics instruction that supports and teaches socially harmful or meaningless policy is irresponsible. Moral policies are those that create sustainable success reliably in any 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 wellSocial Contract is an Index of social measures with no economic indicators, yet SC advance economies reliably

 

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

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

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

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

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

Society and Economy are NOT Separate

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

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

There are 150 other Causal and Sustainable Indicators and Indexes cataloged and explained within the context of Socio-Economic Planning Methods in the WAOH 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 Transition Economics pairs economies with unsustainable policies only in booms and only when they help monetize opportunity

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

WAOH

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

An Important New Science

It’s not very often that we have an opportunity to learn a completely new science. Most sciences are natural sciences, and TE is a far more important social science. Biologic science has matured for millennia, and yet how many people die of biological illness today? Natural sciences cannot prevent war, ensure good, respect, and human advance as can a reliable evidence-based social science in civics

The term “Science” is defined as “systematic and formulated knowledge”. All sciences begin simply, and then with time mature in both their applications and complexity.

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

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

Transition Economics (TE) explains the mathematical principles of evidence-based Social and Economic Science – also called Civics. As such, TE is an essential foundation for academic faculties of Economics, Business, Finance, Law, Government, and Social Studies.

TE is a very simple science, but it’s computation-intense and therefore most effectively paired with a user-friendly data science, visualization tools, and a multi-viewpoint approach – see WAOH, MEMS, and GL-BOK.

TE’s Science of 70% is also important for scientific faculties of Physics, Astronomy, Medical, and any field of natural science where a gap exists between current math-based theory and observed evidence-based actual measures.

Global Leadership Swim lanes

Global Leadership Swim lanes

Global Leadership (GL) is an essential emerging new academic faculty that manages the performance of all faculties to ensure that the curricula we teach achieves socioeconomic and human advance – as they absolutely must.

GL-BOK – GL’s Book of Knowledge ensure faculties can never create the broad social and economic collapse that our current 100% theory-based curricula has within unaccountable faculty silos today.

Scientific Societies Programme (SSP) – SSPs performance-manage the projects proven to advance nations reliably. SSPs ensure evidence-based policy, monitoring, and target achievements that double economies and ensure human advance.

Buy “The Book” here

Announcing “The Book”

Three years in development, and one of the most important books of any century…

CSQ Research is very proud to announce a Case Study of The Global Leadership Book of Knowledge (GL-BOK), “The Book – The Scientific Update of the Bible”

Religions use the Bible but The Bible is not a religious document; it’s a Civics text. The first five books are the second millennial updates of the Codes (the Constitutions and Books of Law) of Hammurabi’s and Ur-Numma 4,000 years ago. The Bible was commissioned by great Kings and updated by hundreds of scholars and historians, which explains why 800 Constitutions are based on the Bible since 1791.

The Bible explains how to build successful societies reliably based on the scientific observation of its view of 2,000 years of civic rise and fall.

Written in 73-books and in a storytelling format for the illiterate populations of its era, 5-billion copies are printed in 700 languages to explain a Lesson Plan for any successful civilization.

EVERY nation that ensures all of the Bible’s Human Rights are advancing today, while EVERY nation (over 15 million in population) that use a partial Constitution – are collapsing; and they collapse every 60-years like clockwork too.

Leadership here teaches a trinity of essential behaviours for national success:

  1. Good (Systemic empathy – in actions and in laws – in “Lord”),
  2. Respect (The Golden Rule), and
  3. Creation (the building and the shepparding of Human Advance)

These goals are as important to national success in econometric science today, as they were 1,700 years ago when they were explained with the teaching tools of a Father, Son, and 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 Rules of Law, alongside the contemporary quantitative sciences that today’s educated and literate populations need to build our success reliably.

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 that this ensures.

The Book teaches us how to double economies by advancing societies 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 Printing boxed and signed Collectors Edition of “The Book” here.

TE is a science of Observation and not Theory

Extend your Standard of Research today to include TE’s evidence-based scientific method. TE is the first evidence-based and observation-based science for economics, law, finance, business,  finance, social, and government policy science faculties.

By ranking TE Proof Chart amplitudes taken from survey scores in hundreds of nations, we can find any indicator’s importance and probability of success.

TE sorts all results to find the highest-ranking measures, and confirms their causality by validating cause and effects (of policies) 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 of 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 the curricula explained in Global Leadership’s Book of Knowledge (GL-BOK). With a clear understanding of important stats for every country, computer science can easily identify opportunities for advance, and then set targets that are mathematically assured to advance societies and economies in every nation.

By observing nations from many points of view, this simple approach ensures that no theory is needed, that findings are absolutely truthful and important, and TE is easily and transparently understandable, repeatable, deterministic, and teachable as well.

Economies are high-transaction systems, so aligning your nation with highest-probability-of-success measures 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 computer science charting and tabling capabilities – available to schools, finance, and government groups; and, these reports are 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 that database.

A non-science, looks like Marx’s terms and theories; unmeasurable, unscientific, and unmeasured too. Neoliberalism, Libertarian, Individualism, Wealth Theory, Right, Left, Micro or Macroeconomics, and similar. None of these theory-based curricula are scientific and ALL are only harmful 100%

America lost 58,000 sons in the Vietnam War to “Defend Capitalism”. Which capitalism was that? Was it the capitalism that created the Great Depression, or the capitalism that FDR used to create the greatest economy and society in history? Vietnam won that war; surely they must be “communists” today? 100% Nonsense 

Now that we have a science, what can we learn and validate?

How does Social Contract build strong Economies reliably?

Starvation Wages

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 Cost of Living, freedom is lost in the new imbalance; when salary falls to CoL, starvation wages replace Social Contract and economies stall. These problems can grow unreported and uncorrected for decades in large democracies. Why? Because we don’t:

  1. teach responsible civics
  2. monitor and look for these imbalances
  3. correct this expensive, dangerous problem before it can balloon to collapse our nation

This measurable definition of freedom is the only one we should be using. Instead, “Freedom” is one of the most abused terms in politics for a century and more. Even when you do notice the problem, identification does not solve the problem. Solving big problems requires that you only place your vote with groups that understand leadership and are committed to implementing measurable advance in this essential target – of “freedom”.

In nations where your Constitution does not protect citizens from ballot cards filled with unscientific political groups and policies, NEVER give your vote to a LEFT or RIGHT political group. The only “side” that we MUST vote for is “Advance”; see an example of a scientific political group on a thesis-based ACT Party website. ACT Parties drive social and economic success reliably using scientific performance monitoring and are only permitted to support policies proven to advance nations with a highest probability of success.

Individual financial freedom permits Productivity, while failed freedoms deny productivity and also undermine good lives; weakening Social Contract and the social benefits that come from our being able to make Common Sense decisions – for moral reasons.

Imbalances during Mature Capitalisms

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. Social Contract Product is designed to replace the GDP as the truer measure of economic performance

Revolutions per Decade

More Conflicts than at any time in History

Today, we live in a global Mature Capitalism. There were 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. The 2010 US Fed Reserve Report indicated 40% of Americans own nothing

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.

G20 Social Contract Loss

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 of the 1920s again – along with all of their Social Contract Loss costs and broad collapses.

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 its 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 systems mature into imbalance near the end of a compound interest-driven 60-year cycle. Mature unbalanced economies need active correction by Governments in order 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 Living Wages turned around 2000 years of Starvation Wages

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 a Fiat System – the creation of Debt (Bonds) and a nation’s ability to pay back that debt – also called The Dollar Standard.

A 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 only on “belief of value” to begin with either way.

In short, “money for governments” should not be confused with “money for individuals and businesses”, as these are two very different discussions – with different rules. Money “supply”, that isn’t the problem; rather, it’s the “distribution” of money that advances or collapses a nation 100%

G8 Social Contract Losses Henry Ford’s Living Wage created our contemporary economies – because for the first time ever in historymoney 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. The Average Nation loses $4.3 billion US daily to Social Contract Loss

Every Nation in Europe received Debt Forgiveness in 1934

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 economic loss and social collapse, and ACT Parties – simply do exactly what FDR did to create the greatest economy in history.

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

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

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

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

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

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

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

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

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

Important

Global Leadership Sciences Dashboard

Global Leadership Sciences Dashboard

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

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

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

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

Revolutions per Decade

More Conflicts than at any time in History

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

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

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”

Advance vs Collapse in TEPs

“Advancing” economies can be confirmed using any proven measures of an advancing economy. What was our first Causal Indicator? Trade Balance. Why?

TED Social Contract vs Social Problems

Trade Balance was higher in high Social Contract Nations

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

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

GDP-PPP per Capita – Top 30 Nations ($38k in 2017, $40k in 2018)
GDP-PPP per Capita

GDP – 2008 to Today

Gross Capital Formation

Gross Capital

Fertility Rates less than 2.2

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 to set threshold values for TEP Charts

Thresholds indicate an economy and society’s advance or collapse. A 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) which are more important, and a strong or weak indicator of economic success

Like all terms, TE’s Advance and Collapse are “made up” – and specific to TE. What makes any term important, however, is that is measurable and scientific. “Advance” here indicates that economies can be expected to improve based on their causal indicators scores.

“Collapse“ indicates that a nation is falling short according its binary “Advancing” measures

Individual indicators that are observed to be perfectly Causal (to score 1.0 on a TEP survey), are a small percent of all measures; perhaps just 1-in-60 – totaling 30 indicators in total, but aggregation techniques permit thousands of causal index measures to be scored and ranked. This permits a top few indicators and indexes 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. This approach finds a higher probability of success and as most economies see trillions of daily transactions, the higher‑probability policies (decisions and programs) are certain of success in mathemitic and real‑world results

All that a nation needs to ensure Advance, is to improve their causal scores in social and economic development. Obviously, solving problems in just one area is not enough, its benefit will be over-matched by losses in ten other areas

TE Logos, Ads, and Badges

Tell two friends about Transition Economics – and for heavens sake make it viral. Students and nations are losing a fortune to our current curricula, let’s change that as soon as possible

Evidence-based Economics is a Computer Science

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

Non-Science Theory – Left, Right, and Separation of State

Left and Right Political theories are irrelevant; Advance is the only “side” that matters – and the only vote we must cast too.

Nations with poor Constitutions, allow unqualified parties to fill all of the spots on voting ballots. For this reason, voters must understand civics and which policy advances or collapses our nations.

Democratic elections shrink economies and collapse societies reliably when both the Left and the Right political parties present only unsustainable policies. Every voter can only vote irresponsibly – for collapse, at that point.

Our Constitutions should protect us from this. Aristotle called the condition of certain collapse an “evil” form of Government, but if your country is obviously collapsing today, then your Constitution does not protect you from this.

When Constitutions protect us only weakly, the administrators of the legal system – the Attourney General, Central Bank Chairman, Supreme Court, Elections lead, and Military leads – are all appointed by politicians. These appointed gatekeepers can turn a blind eye to a weak Constitution, and favour their sponsor’s requests and demands instead. We saw a clear case of this in the summer of 2022 as the Governor of the Bank of Canada announced that the decision to print money was at Canada’s Prime Minister’s assistance – and not the Bank of Canada’s.

Economies are high transaction systems, so policies with a high-probability-of-collapsing will collapse any nation with mathematic certainty. Here in the following chart, we see that only collapse policies are offered in Canada (this is a 2019 survey unchanged today) – and Britain and the United States offered similar collapse policies to their electorates in the past several federal and provincial/state elections.

Canada Federal Election 2019

Vote only for Sustainable Policy – anything else is Socially Irresponsible

FDR’s “Second Bill of Rights policies” are proven to reset collapsed economies very successfully; FDR turned around a Great Depression to create the Greatest Economy in History also. EVERY large nation that runs his policies in Constitution today – is advancing, 70-years later.

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. websites, for an in-depth explanation. FDR’s Second Bill of Rights explained successful strategic policy in 1944, and the countries that had these 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.

Social Contract is what soldiers fight for – and have died for, so there can be nothing unpatriotic about running 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.

Neoliberalism – a Timeless “Beast”

Not to be confused with Transition Economics, Transition Economies are what Ronald Reagan’s administration instructed Russia was the cause of the United States’s great success in 1980. Reagan was very wrong when he suggested that laissez-faire and neoliberalism built the greatest economy in history for Americans.

“Transition Economies undergo economic deregulation / liberation, where market forces set prices rather than a central planning organization (gov’t) and trade barriers are removed, privatization of government-owned enterprises and resources, and the creation of a financial sector to facilitate the movement of private capital.”

Transition Economies and Neoliberalism are harmful theories and ideologies entirely. The United States has collapsed steadily for forty years since Reagan began his deregulation of the United States. Americans are perhaps the greatest losers of any nation in history because of these changes, while nations that continue to run with FDRs regulations are ALL advancing today.

The Bible called economic powers that used neoliberalism “The Beast”, and it warned us against false ideologies (false idols) as a “10 Commandments” civics rule.

See Related article: Neoliberalism – the ideology at the root of all our problems

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:

  1. Transition Engineering – the automation and delivery of all of our basic needs – see WorthwhileInc.com, and …
  2. Good Lives – The transition of token-based monetary economies to hybrid models for our needs versus our wants

Worthwhile Industries

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 food, housing, and other needs are delivered to us via automated assembly lines, tokens will only be needed for things we want.

As the production of things is automated, we don’t need to pass tokens for those things any longer. This is the reason that futuristic shows like Star Trek, had no need of money. They had assembly lines, replicator technologies, and interesting lives that were only made possible because token-passing was unnecessary – and we will have this too at a point, with some good leadership.

Humanity will suffer unnecessarily, and it might obliterate itself too – if these transitions aren’t well-understood and properly planned.

This is “Leadership 101” – although it might seem very advanced, foreign, or even inaccessible – based on the curriculums we teach in our universities today. Rest assured that the notion this is impossible, is only true due to our present very low standards in academics today.

See Notice to Academic Institutions to understand academia’s shortcomings better.

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.

Every problem has a solution, unlike political parties that might prefer to try to convince you that there is no “Silver Bullet” to correct something.

Climate is addressable by business Operational SOPs and Special Projects; AND, it never created a World War.

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 (straight from the Bible) 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 a monetary system 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 are trained in how to manage our democracies. Without responsible Civics training in school, and with no understanding of how to build the scientific society explained in the Bible (ever since our schools turned secular), we must now struggle to understand how to vote based on what we see on multi-billion dollar television channels.

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

Social Contract Proof TEP Transition Economics falls into this category of new theory, and more importantly, it is a new science as well. TE targets proven economic building blocks like success stories, evidence-based surveys, Causal Policy, proven Right Plans, and the democratic reforms needed to ensure Constitutions maintain an optimal highest-probability-of-success for every nation globally.

If the current status-quo policies worked as theorized, surely America would be the strongest economy over every other nation 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 we are using a failed, theoretical approach to Economics.

Transition Economics is a Science – and not “theory”. Where Micro and Macroeconomic theories fail observably, Transition Economics can prove policy decisions defendably by Scientific Method – in both observation and in statistics. New, scientific Terms were needed.

Old 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 a hundred different people.

Per the Socratic Method, ambiguous terms need to be deprecated and replaced by disambiguous terms that can be measured, proven or disproven.

Most “isms” are deprecated in TE due to this important need for disambiguation. All of Marx’s terms: Socialism is simply Ownership of Production by the State. Merit is reward of contribution. Public ownership isn’t “Communism” – an all-or-nothing absolute and vilification. If surveys show it makes sense to keep retirement homes or auto insurance under the direction of co-ops, then common sense prevails – as opposed to harmful ideologies that collapse economies and communities. See a disambiguation glossary for TE here.

Meaningless Right and Left “Conservative Policy” or “Liberal Policy” is redacted – and replaced with the terms Causal, Sustainable, Neutral, or Unsustainable. It’s clear that Marxism, Libertarian,Neoliberalism, Divisionism, Individualism, etc. are proven-failed fictions, so we don’t permit their misuse any longer.

G8 Social Contract Losses since 1960Globally, 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 IHDI TEP U.N. HDI TEP 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

CodeDescriptionTopicSubTopicScore
Fin.Dev.Index.IMFFinancial Industry Index IMFFinancial SectorAssets0.575
Crimes.WB3284Crime And Theft IndexSocial Protection & LaborPerformance0.495
AG.AGR.TRAC.NOAgricultural machinery, tractorsEnvironmentAgricultural production0.509090909
AG.CON.FERT.PT.ZSFertilizer consumption (% of fertilizer production)EnvironmentAgricultural production0.313
AG.CON.FERT.ZSFertilizer consumption (kilograms per hectare of arable land)EnvironmentAgricultural production0.386
AG.LND.AGRI.K2Agricultural land (sq. km)EnvironmentLand use0.38333333299999994
AG.LND.AGRI.ZSAgricultural land (% of land area)EnvironmentLand use0.358333333
AG.LND.ARBL.HAArable land (hectares)EnvironmentLand use0.32916666699999997
AG.LND.ARBL.HA.PCArable land (hectares per person)EnvironmentLand use0.35666666700000005
AG.LND.ARBL.ZSArable land (% of land area)EnvironmentLand use0.41333333299999997
AG.LND.CREL.HALand under cereal production (hectares)EnvironmentAgricultural production0.325833333
AG.LND.CROP.ZSPermanent cropland (% of land area)EnvironmentLand use0.418333333
AG.LND.EL5M.RU.K2Rural land area where elevation is below 5 meters (sq. km)EnvironmentLand use0.295
AG.LND.EL5M.RU.ZSRural land area where elevation is below 5 meters (% of total land area)EnvironmentLand use0.36125
AG.LND.EL5M.UR.K2Urban land area where elevation is below 5 meters (sq. km)EnvironmentLand use0.3725
AG.LND.EL5M.UR.ZSUrban land area where elevation is below 5 meters (% of total land area)EnvironmentLand use0.42
AG.LND.EL5M.ZSLand area where elevation is below 5 meters (% of total land area)EnvironmentLand use0.39875
AG.LND.FRST.K2Forest area (sq. km)EnvironmentLand use0.4175
AG.LND.FRST.ZSForest area (% of land area)EnvironmentLand use0.32916666699999997
AG.LND.IRIG.AG.ZSAgricultural irrigated land (% of total agricultural land)EnvironmentLand use0.354
AG.LND.PRCP.MMAverage precipitation in depth (mm per year)EnvironmentLand use0.33625
AG.LND.TOTL.K2Land area (sq. km)EnvironmentLand use0.41666666700000005
AG.LND.TOTL.RU.K2Rural land area (sq. km)EnvironmentLand use0.28875
AG.LND.TOTL.UR.K2Urban land area (sq. km)EnvironmentLand use0.5
AG.LND.TRAC.ZSAgricultural machinery, tractors per 100 sq. km of arable landEnvironmentAgricultural production0.47181818200000003
AG.PRD.CREL.MTCereal production (metric tons)EnvironmentAgricultural production0.3125
AG.PRD.CROP.XDCrop production index (2004-2006 = 100)EnvironmentAgricultural production0.46083333299999996
AG.PRD.FOOD.XDFood production index (2004-2006 = 100)EnvironmentAgricultural production0.375
AG.PRD.LVSK.XDLivestock production index (2004-2006 = 100)EnvironmentAgricultural production0.3325
AG.SRF.TOTL.K2Surface area (sq. km)EnvironmentLand use0.3825
AG.YLD.CREL.KGCereal yield (kg per hectare)EnvironmentAgricultural production0.510833333
BG.GSR.NFSV.GD.ZSTrade in services (% of GDP)Economic Policy & DebtBalance of payments0.330833333
BM.GSR.CMCP.ZSCommunications, computer, etc. (% of service imports, BoP)Economic Policy & DebtBalance of payments0.40583333299999996
BM.GSR.FCTY.CDPrimary income payments (BoP, current US$)Economic Policy & DebtBalance of payments0.556666667
BM.GSR.GNFS.CDImports of goods and services (BoP, current US$)Economic Policy & DebtBalance of payments0.5741666670000001
BM.GSR.INSF.ZSInsurance and financial services (% of service imports, BoP)Economic Policy & DebtBalance of payments0.380833333
BM.GSR.MRCH.CDGoods imports (BoP, current US$)Economic Policy & DebtBalance of payments0.556666667
BM.GSR.NFSV.CDService imports (BoP, current US$)Economic Policy & DebtBalance of payments0.6083333329999999
BM.GSR.ROYL.CDCharges for the use of intellectual property, payments (BoP, current US$)Economic Policy & DebtBalance of payments0.606666667
BM.GSR.TOTL.CDImports of goods, services and primary income (BoP, current US$)Economic Policy & DebtBalance of payments0.57
BM.GSR.TRAN.ZSTransport services (% of service imports, BoP)Economic Policy & DebtBalance of payments0.42916666700000006
BM.GSR.TRVL.ZSTravel services (% of service imports, BoP)Economic Policy & DebtBalance of payments0.288333333
BM.KLT.DINV.CD.WDForeign direct investment, net outflows (BoP, current US$)Economic Policy & DebtBalance of payments0.4875
BM.KLT.DINV.WD.GD.ZSForeign direct investment, net outflows (% of GDP)Economic Policy & DebtBalance of payments0.420833333
BM.TRF.PRVT.CDSecondary income, other sectors, payments (BoP, current US$)Economic Policy & DebtBalance of payments0.58
BN.CAB.XOKA.CDCurrent account balance (BoP, current US$)Economic Policy & DebtBalance of payments0.6025
BN.CAB.XOKA.GD.ZSCurrent account balance (% of GDP)Economic Policy & DebtBalance of payments0.499166667
BN.FIN.TOTL.CDNet financial account (BoP, current US$)Economic Policy & DebtBalance of payments0.558333333
BN.GSR.FCTY.CDNet primary income (BoP, current US$)Economic Policy & DebtBalance of payments0.513333333
BN.GSR.GNFS.CDNet trade in goods and services (BoP, current US$)Economic Policy & DebtBalance of payments0.663333333
BN.GSR.MRCH.CDNet trade in goods (BoP, current US$)Economic Policy & DebtBalance of payments0.5775
BN.KAC.EOMS.CDNet errors and omissions (BoP, current US$)Economic Policy & DebtBalance of payments0.49166666700000006
BN.KLT.DINV.CDForeign direct investment, net (BoP, current US$)Economic Policy & DebtBalance of payments0.530833333
BN.KLT.PTXL.CDPortfolio Investment, net (BoP, current US$)Economic Policy & DebtBalance of payments0.544166667
BN.RES.INCL.CDReserves and related items (BoP, current US$)Economic Policy & DebtBalance of payments0.420833333
BN.TRF.CURR.CDNet secondary income (BoP, current US$)Economic Policy & DebtBalance of payments0.5725
BN.TRF.KOGT.CDNet capital account (BoP, current US$)Economic Policy & DebtBalance of payments0.505833333
BX.GRT.EXTA.CD.WDGrants, excluding technical cooperation (BoP, current US$)Economic Policy & DebtBalance of payments0.31
BX.GRT.TECH.CD.WDTechnical cooperation grants (BoP, current US$)Economic Policy & DebtBalance of payments0.24600000000000002
BX.GSR.CCIS.CDICT service exports (BoP, current US$)InfrastructureCommunications0.5525
BX.GSR.CCIS.ZSICT service exports (% of service exports, BoP)InfrastructureCommunications0.35
BX.GSR.CMCP.ZSCommunications, computer, etc. (% of service exports, BoP)Economic Policy & DebtBalance of payments0.33833333299999996
BX.GSR.FCTY.CDPrimary income receipts (BoP, current US$)Economic Policy & DebtBalance of payments0.5708333329999999
BX.GSR.GNFS.CDExports of goods and services (BoP, current US$)Economic Policy & DebtBalance of payments0.594166667
BX.GSR.INSF.ZSInsurance and financial services (% of service exports, BoP)Economic Policy & DebtBalance of payments0.355
BX.GSR.MRCH.CDGoods exports (BoP, current US$)Economic Policy & DebtBalance of payments0.578333333
BX.GSR.NFSV.CDService exports (BoP, current US$)Economic Policy & DebtBalance of payments0.5016666670000001
BX.GSR.ROYL.CDCharges for the use of intellectual property, receipts (BoP, current US$)Economic Policy & DebtBalance of payments0.614166667
BX.GSR.TOTL.CDExports of goods, services and primary income (BoP, current US$)Economic Policy & DebtBalance of payments0.5841666670000001
BX.GSR.TRAN.ZSTransport services (% of service exports, BoP)Economic Policy & DebtBalance of payments0.375833333
BX.GSR.TRVL.ZSTravel services (% of service exports, BoP)Economic Policy & DebtBalance of payments0.42166666700000005
BX.KLT.DINV.CD.WDForeign direct investment, net inflows (BoP, current US$)Economic Policy & DebtBalance of payments0.593333333
BX.KLT.DINV.WD.GD.ZSForeign direct investment, net inflows (% of GDP)Economic Policy & DebtBalance of payments0.430833333
BX.KLT.DREM.CD.DTPrimary income on FDI, payments (current US$)Economic Policy & DebtBalance of payments0.312
BX.PEF.TOTL.CD.WDPortfolio equity, net inflows (BoP, current US$)Economic Policy & DebtBalance of payments0.5875
BX.TRF.CURR.CDSecondary income receipts (BoP, current US$)Economic Policy & DebtBalance of payments0.3575
BX.TRF.PWKR.CDPersonal transfers, receipts (BoP, current US$)Economic Policy & DebtBalance of payments0.373636364
BX.TRF.PWKR.CD.DTPersonal remittances, received (current US$)Economic Policy & DebtBalance of payments0.38333333299999994
BX.TRF.PWKR.DT.GD.ZSPersonal remittances, received (% of GDP)Economic Policy & DebtBalance of payments0.4525
CM.MKT.INDX.ZGS&P Global Equity Indices (annual % change)Financial SectorCapital markets0.279166667
CM.MKT.LCAP.CDMarket capitalization of listed domestic companies (current US$)Financial SectorCapital markets0.39666666700000003
CM.MKT.LCAP.GD.ZSMarket capitalization of listed domestic companies (% of GDP)Financial SectorCapital markets0.3025
CM.MKT.LDOM.NOListed domestic companies, totalFinancial SectorCapital markets0.35166666700000004
CM.MKT.TRAD.CDStocks traded, total value (current US$)Financial SectorCapital markets0.44583333299999994
CM.MKT.TRAD.GD.ZSStocks traded, total value (% of GDP)Financial SectorCapital markets0.368333333
CM.MKT.TRNRStocks traded, turnover ratio of domestic shares (%)Financial SectorCapital markets0.281818182
DC.DAC.AUSL.CDNet bilateral aid flows from DAC donors, Australia (current US$)Economic Policy & DebtOfficial development assistance0.262
DC.DAC.AUTL.CDNet bilateral aid flows from DAC donors, Austria (current US$)Economic Policy & DebtOfficial development assistance0.2
DC.DAC.BELL.CDNet bilateral aid flows from DAC donors, Belgium (current US$)Economic Policy & DebtOfficial development assistance0.275
DC.DAC.CANL.CDNet bilateral aid flows from DAC donors, Canada (current US$)Economic Policy & DebtOfficial development assistance0.258
DC.DAC.CECL.CDNet bilateral aid flows from DAC donors, European Union institutions (current US$)Economic Policy & DebtOfficial development assistance0.235
DC.DAC.CHEL.CDNet bilateral aid flows from DAC donors, Switzerland (current US$)Economic Policy & DebtOfficial development assistance0.26899999999999996
DC.DAC.CZEL.CDNet bilateral aid flows from DAC donors, Czech Republic (current US$)Economic Policy & DebtOfficial development assistance0.19375
DC.DAC.DEUL.CDNet bilateral aid flows from DAC donors, Germany (current US$)Economic Policy & DebtOfficial development assistance0.235
DC.DAC.DNKL.CDNet bilateral aid flows from DAC donors, Denmark (current US$)Economic Policy & DebtOfficial development assistance0.213
DC.DAC.ESPL.CDNet bilateral aid flows from DAC donors, Spain (current US$)Economic Policy & DebtOfficial development assistance0.198
DC.DAC.FINL.CDNet bilateral aid flows from DAC donors, Finland (current US$)Economic Policy & DebtOfficial development assistance0.209
DC.DAC.FRAL.CDNet bilateral aid flows from DAC donors, France (current US$)Economic Policy & DebtOfficial development assistance0.228
DC.DAC.GBRL.CDNet bilateral aid flows from DAC donors, United Kingdom (current US$)Economic Policy & DebtOfficial development assistance0.221
DC.DAC.GRCL.CDNet bilateral aid flows from DAC donors, Greece (current US$)Economic Policy & DebtOfficial development assistance0.243333333
DC.DAC.IRLL.CDNet bilateral aid flows from DAC donors, Ireland (current US$)Economic Policy & DebtOfficial development assistance0.198
DC.DAC.ISLL.CDNet bilateral aid flows from DAC donors, Iceland (current US$)Economic Policy & DebtOfficial development assistance0.1325
DC.DAC.ITAL.CDNet bilateral aid flows from DAC donors, Italy (current US$)Economic Policy & DebtOfficial development assistance0.205
DC.DAC.JPNL.CDNet bilateral aid flows from DAC donors, Japan (current US$)Economic Policy & DebtOfficial development assistance0.34
DC.DAC.KORL.CDNet bilateral aid flows from DAC donors, Korea, Rep. (current US$)Economic Policy & DebtOfficial development assistance0.184
DC.DAC.LUXL.CDNet bilateral aid flows from DAC donors, Luxembourg (current US$)Economic Policy & DebtOfficial development assistance0.196
DC.DAC.NLDL.CDNet bilateral aid flows from DAC donors, Netherlands (current US$)Economic Policy & DebtOfficial development assistance0.195
DC.DAC.NORL.CDNet bilateral aid flows from DAC donors, Norway (current US$)Economic Policy & DebtOfficial development assistance0.183
DC.DAC.NZLL.CDNet bilateral aid flows from DAC donors, New Zealand (current US$)Economic Policy & DebtOfficial development assistance0.226
DC.DAC.POLL.CDNet bilateral aid flows from DAC donors, Poland (current US$)Economic Policy & DebtOfficial development assistance0.18375
DC.DAC.PRTL.CDNet bilateral aid flows from DAC donors, Portugal (current US$)Economic Policy & DebtOfficial development assistance0.19
DC.DAC.SVKL.CDNet bilateral aid flows from DAC donors, Slovak Republic (current US$)Economic Policy & DebtOfficial development assistance0.21625
DC.DAC.SVNL.CDNet bilateral aid flows from DAC donors, Slovenia (current US$)Economic Policy & DebtOfficial development assistance0.24375
DC.DAC.SWEL.CDNet bilateral aid flows from DAC donors, Sweden (current US$)Economic Policy & DebtOfficial development assistance0.233
DC.DAC.TOTL.CDNet bilateral aid flows from DAC donors, Total (current US$)Economic Policy & DebtOfficial development assistance0.311
DC.DAC.USAL.CDNet bilateral aid flows from DAC donors, United States (current US$)Economic Policy & DebtOfficial development assistance0.20800000000000002
DT.AMT.BLAT.CDPPG, bilateral (AMT, current US$)Economic Policy & DebtExternal debt0.237
DT.AMT.BLTC.CDPPG, bilateral concessional (AMT, current US$)Economic Policy & DebtExternal debt0.21899999999999997
DT.AMT.DIMF.CDIMF repurchases (AMT, current US$)Economic Policy & DebtExternal debt0.267
DT.AMT.DLTF.CDPrincipal repayments on external debt, long-term + IMF (AMT, current US$)Economic Policy & DebtExternal debt0.237
DT.AMT.DLXF.CDPrincipal repayments on external debt, long-term (AMT, current US$)Economic Policy & DebtExternal debt0.23399999999999999
DT.AMT.DPNG.CDPrincipal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)Economic Policy & DebtExternal debt0.261
DT.AMT.DPPG.CDPrincipal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)Economic Policy & DebtExternal debt0.278
DT.AMT.MIBR.CDPPG, IBRD (AMT, current US$)Economic Policy & DebtExternal debt0.184
DT.AMT.MIDA.CDPPG, IDA (AMT, current US$)Economic Policy & DebtExternal debt0.203
DT.AMT.MLAT.CDPPG, multilateral (AMT, current US$)Economic Policy & DebtExternal debt0.248
DT.AMT.MLTC.CDPPG, multilateral concessional (AMT, current US$)Economic Policy & DebtExternal debt0.225
DT.AMT.OFFT.CDPPG, official creditors (AMT, current US$)Economic Policy & DebtExternal debt0.267
DT.AMT.PBND.CDPPG, bonds (AMT, current US$)Economic Policy & DebtExternal debt0.23199999999999998
DT.AMT.PCBK.CDPPG, commercial banks (AMT, current US$)Economic Policy & DebtExternal debt0.226
DT.AMT.PNGB.CDPNG, bonds (AMT, current US$)Economic Policy & DebtExternal debt0.124444444
DT.AMT.PNGC.CDPNG, commercial banks and other creditors (AMT, current US$)Economic Policy & DebtExternal debt0.263
DT.AMT.PROP.CDPPG, other private creditors (AMT, current US$)Economic Policy & DebtExternal debt0.176666667
DT.AMT.PRVT.CDPPG, private creditors (AMT, current US$)Economic Policy & DebtExternal debt0.272
DT.AXA.DPPG.CDPrincipal arrears, long-term DOD (US$)Economic Policy & DebtExternal debt0.21
DT.AXA.OFFT.CDPrincipal arrears, official creditors (current US$)Economic Policy & DebtExternal debt0.19699999999999998
DT.AXA.PRVT.CDPrincipal arrears, private creditors (current US$)Economic Policy & DebtExternal debt0.19699999999999998
DT.AXF.DPPG.CDPrincipal forgiven (current US$)Economic Policy & DebtExternal debt0.095
DT.AXR.DPPG.CDPrincipal rescheduled (current US$)Economic Policy & DebtExternal debt0.14800000000000002
DT.AXR.OFFT.CDPrincipal rescheduled, official (current US$)Economic Policy & DebtExternal debt0.034
DT.AXR.PRVT.CDPrincipal rescheduled, private (current US$)Economic Policy & DebtExternal debt0.11555555599999999
DT.COM.DPPG.CDCommitments, public and publicly guaranteed (COM, current US$)Economic Policy & DebtExternal debt0.267
DT.COM.MIBR.CDCommitments, IBRD (COM, current US$)Economic Policy & DebtExternal debt0.281
DT.COM.MIDA.CDCommitments, IDA (COM, current US$)Economic Policy & DebtExternal debt0.159
DT.COM.OFFT.CDCommitments, official creditors (COM, current US$)Economic Policy & DebtExternal debt0.278
DT.COM.PRVT.CDCommitments, private creditors (COM, current US$)Economic Policy & DebtExternal debt0.21
DT.CUR.DMAK.ZSCurrency composition of PPG debt, Deutsche mark (%)Economic Policy & DebtExternal debt0.23800000000000002
DT.CUR.EURO.ZSCurrency composition of PPG debt, Euro (%)Economic Policy & DebtExternal debt0.26888888899999996
DT.CUR.FFRC.ZSCurrency composition of PPG debt, French franc (%)Economic Policy & DebtExternal debt0.193
DT.CUR.JYEN.ZSCurrency composition of PPG debt, Japanese yen (%)Economic Policy & DebtExternal debt0.21600000000000003
DT.CUR.MULC.ZSCurrency composition of PPG debt, Multiple currencies (%)Economic Policy & DebtExternal debt0.213
DT.CUR.OTHC.ZSCurrency composition of PPG debt, all other currencies (%)Economic Policy & DebtExternal debt0.23
DT.CUR.SDRW.ZSCurrency composition of PPG debt, SDR (%)Economic Policy & DebtExternal debt0.34700000000000003
DT.CUR.SWFR.ZSCurrency composition of PPG debt, Swiss franc (%)Economic Policy & DebtExternal debt0.168
DT.CUR.UKPS.ZSCurrency composition of PPG debt, Pound sterling (%)Economic Policy & DebtExternal debt0.142
DT.CUR.USDL.ZSCurrency composition of PPG debt, U.S. dollars (%)Economic Policy & DebtExternal debt0.23199999999999998
DT.DFR.DPPG.CDDebt forgiveness or reduction (current US$)Economic Policy & DebtExternal debt0.0
DT.DIS.BLAT.CDPPG, bilateral (DIS, current US$)Economic Policy & DebtExternal debt0.198
DT.DIS.BLTC.CDPPG, bilateral concessional (DIS, current US$)Economic Policy & DebtExternal debt0.2
DT.DIS.DIMF.CDIMF purchases (DIS, current US$)Economic Policy & DebtExternal debt0.14300000000000002
DT.DIS.DLTF.CDDisbursements on external debt, long-term + IMF (DIS, current US$)Economic Policy & DebtExternal debt0.263
DT.DIS.DLXF.CDDisbursements on external debt, long-term (DIS, current US$)Economic Policy & DebtExternal debt0.22
DT.DIS.DPNG.CDDisbursements on external debt, private nonguaranteed (PNG) (DIS, current US$)Economic Policy & DebtExternal debt0.265
DT.DIS.DPPG.CDDisbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)Economic Policy & DebtExternal debt0.188
DT.DIS.IDAG.CDIDA grants (current US$)Economic Policy & DebtOfficial development assistance0.17300000000000001
DT.DIS.MIBR.CDPPG, IBRD (DIS, current US$)Economic Policy & DebtExternal debt0.258
DT.DIS.MIDA.CDPPG, IDA (DIS, current US$)Economic Policy & DebtExternal debt0.168
DT.DIS.MLAT.CDPPG, multilateral (DIS, current US$)Economic Policy & DebtExternal debt0.28
DT.DIS.MLTC.CDPPG, multilateral concessional (DIS, current US$)Economic Policy & DebtExternal debt0.22399999999999998
DT.DIS.OFFT.CDPPG, official creditors (DIS, current US$)Economic Policy & DebtExternal debt0.24600000000000002
DT.DIS.PBND.CDPPG, bonds (DIS, current US$)Economic Policy & DebtExternal debt0.15
DT.DIS.PCBK.CDPPG, commercial banks (DIS, current US$)Economic Policy & DebtExternal debt0.19699999999999998
DT.DIS.PNGB.CDPNG, bonds (DIS, current US$)Economic Policy & DebtExternal debt0.11375
DT.DIS.PNGC.CDPNG, commercial banks and other creditors (DIS, current US$)Economic Policy & DebtExternal debt0.24
DT.DIS.PROP.CDPPG, other private creditors (DIS, current US$)Economic Policy & DebtExternal debt0.145
DT.DIS.PRVT.CDPPG, private creditors (DIS, current US$)Economic Policy & DebtExternal debt0.159
DT.DOD.ALLC.CDExternal debt stocks, concessional (DOD, current US$)Economic Policy & DebtExternal debt0.289
DT.DOD.ALLC.ZSConcessional debt (% of total external debt)Economic Policy & DebtExternal debt0.313
DT.DOD.BLAT.CDPPG, bilateral (DOD, current US$)Economic Policy & DebtExternal debt0.298
DT.DOD.BLTC.CDPPG, bilateral concessional (DOD, current US$)Economic Policy & DebtExternal debt0.257
DT.DOD.DECT.CDExternal debt stocks, total (DOD, current US$)Economic Policy & DebtExternal debt0.203
DT.DOD.DECT.CD.CGTotal change in external debt stocks (current US$)Economic Policy & DebtExternal debt0.289
DT.DOD.DECT.EX.ZSExternal debt stocks (% of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.223
DT.DOD.DECT.GN.ZSExternal debt stocks (% of GNI)Economic Policy & DebtExternal debt0.177
DT.DOD.DIMF.CDUse of IMF credit (DOD, current US$)Economic Policy & DebtExternal debt0.17600000000000002
DT.DOD.DLXF.CDExternal debt stocks, long-term (DOD, current US$)Economic Policy & DebtExternal debt0.196
DT.DOD.DPNG.CDExternal debt stocks, private nonguaranteed (PNG) (DOD, current US$)Economic Policy & DebtExternal debt0.242
DT.DOD.DPPG.CDExternal debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)Economic Policy & DebtExternal debt0.204
DT.DOD.DSTC.CDExternal debt stocks, short-term (DOD, current US$)Economic Policy & DebtExternal debt0.217
DT.DOD.DSTC.IR.ZSShort-term debt (% of total reserves)Economic Policy & DebtExternal debt0.166
DT.DOD.DSTC.XP.ZSShort-term debt (% of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.20600000000000002
DT.DOD.DSTC.ZSShort-term debt (% of total external debt)Economic Policy & DebtExternal debt0.20199999999999999
DT.DOD.MDRI.CDDebt forgiveness grants (current US$)Economic Policy & DebtOfficial development assistance0.045
DT.DOD.MIBR.CDPPG, IBRD (DOD, current US$)Economic Policy & DebtExternal debt0.29600000000000004
DT.DOD.MIDA.CDPPG, IDA (DOD, current US$)Economic Policy & DebtExternal debt0.254
DT.DOD.MLAT.CDPPG, multilateral (DOD, current US$)Economic Policy & DebtExternal debt0.235
DT.DOD.MLAT.ZSMultilateral debt (% of total external debt)Economic Policy & DebtExternal debt0.317
DT.DOD.MLTC.CDPPG, multilateral concessional (DOD, current US$)Economic Policy & DebtExternal debt0.28
DT.DOD.MWBG.CDIBRD loans and IDA credits (DOD, current US$)Economic Policy & DebtExternal debt0.188
DT.DOD.OFFT.CDPPG, official creditors (DOD, current US$)Economic Policy & DebtExternal debt0.257
DT.DOD.PBND.CDPPG, bonds (DOD, current US$)Economic Policy & DebtExternal debt0.19699999999999998
DT.DOD.PCBK.CDPPG, commercial banks (DOD, current US$)Economic Policy & DebtExternal debt0.237
DT.DOD.PNGB.CDPNG, bonds (DOD, current US$)Economic Policy & DebtExternal debt0.165
DT.DOD.PNGC.CDPNG, commercial banks and other creditors (DOD, current US$)Economic Policy & DebtExternal debt0.261
DT.DOD.PROP.CDPPG, other private creditors (DOD, current US$)Economic Policy & DebtExternal debt0.23600000000000002
DT.DOD.PRVS.CDExternal debt stocks, long-term private sector (DOD, current US$)Economic Policy & DebtExternal debt0.258
DT.DOD.PRVT.CDPPG, private creditors (DOD, current US$)Economic Policy & DebtExternal debt0.213
DT.DOD.PUBS.CDExternal debt stocks, long-term public sector (DOD, current US$)Economic Policy & DebtExternal debt0.228
DT.DOD.PVLX.CDPresent value of external debt (current US$)Economic Policy & DebtExternal debt0.12375
DT.DOD.PVLX.EX.ZSPresent value of external debt (% of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.18125
DT.DOD.PVLX.GN.ZSPresent value of external debt (% of GNI)Economic Policy & DebtExternal debt0.1425
DT.DOD.RSDL.CDResidual, debt stock-flow reconciliation (current US$)Economic Policy & DebtExternal debt0.237
DT.DOD.VTOT.CDExternal debt stocks, variable rate (DOD, current US$)Economic Policy & DebtExternal debt0.276
DT.DSB.DPPG.CDDebt buyback (current US$)Economic Policy & DebtExternal debt0.0
DT.DSF.DPPG.CDDebt stock reduction (current US$)Economic Policy & DebtExternal debt0.034444444
DT.DXR.DPPG.CDDebt stock rescheduled (current US$)Economic Policy & DebtExternal debt0.043333332999999995
DT.GPA.DPPGAverage grace period on new external debt commitments (years)Economic Policy & DebtExternal debt0.172
DT.GPA.OFFTAverage grace period on new external debt commitments, official (years)Economic Policy & DebtExternal debt0.22699999999999998
DT.GPA.PRVTAverage grace period on new external debt commitments, private (years)Economic Policy & DebtExternal debt0.249
DT.GRE.DPPGAverage grant element on new external debt commitments (%)Economic Policy & DebtExternal debt0.20600000000000002
DT.GRE.OFFTAverage grant element on new external debt commitments, official (%)Economic Policy & DebtExternal debt0.233
DT.GRE.PRVTAverage grant element on new external debt commitments, private (%)Economic Policy & DebtExternal debt0.235
DT.INR.DPPGAverage interest on new external debt commitments (%)Economic Policy & DebtExternal debt0.245
DT.INR.OFFTAverage interest on new external debt commitments, official (%)Economic Policy & DebtExternal debt0.26
DT.INR.PRVTAverage interest on new external debt commitments, private (%)Economic Policy & DebtExternal debt0.207
DT.INT.BLAT.CDPPG, bilateral (INT, current US$)Economic Policy & DebtExternal debt0.174
DT.INT.BLTC.CDPPG, bilateral concessional (INT, current US$)Economic Policy & DebtExternal debt0.215
DT.INT.DECT.CDInterest payments on external debt, total (INT, current US$)Economic Policy & DebtExternal debt0.26899999999999996
DT.INT.DECT.EX.ZSInterest payments on external debt (% of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.205
DT.INT.DECT.GN.ZSInterest payments on external debt (% of GNI)Economic Policy & DebtExternal debt0.28
DT.INT.DIMF.CDIMF charges (INT, current US$)Economic Policy & DebtExternal debt0.235
DT.INT.DLXF.CDInterest payments on external debt, long-term (INT, current US$)Economic Policy & DebtExternal debt0.223
DT.INT.DPNG.CDInterest payments on external debt, private nonguaranteed (PNG) (INT, current US$)Economic Policy & DebtExternal debt0.242
DT.INT.DPPG.CDInterest payments on external debt, public and publicly guaranteed (PPG) (INT, current US$)Economic Policy & DebtExternal debt0.266
DT.INT.DSTC.CDInterest payments on external debt, short-term (INT, current US$)Economic Policy & DebtExternal debt0.251
DT.INT.MIBR.CDPPG, IBRD (INT, current US$)Economic Policy & DebtExternal debt0.198
DT.INT.MIDA.CDPPG, IDA (INT, current US$)Economic Policy & DebtExternal debt0.204
DT.INT.MLAT.CDPPG, multilateral (INT, current US$)Economic Policy & DebtExternal debt0.218
DT.INT.MLTC.CDPPG, multilateral concessional (INT, current US$)Economic Policy & DebtExternal debt0.226
DT.INT.OFFT.CDPPG, official creditors (INT, current US$)Economic Policy & DebtExternal debt0.192
DT.INT.PBND.CDPPG, bonds (INT, current US$)Economic Policy & DebtExternal debt0.212
DT.INT.PCBK.CDPPG, commercial banks (INT, current US$)Economic Policy & DebtExternal debt0.22699999999999998
DT.INT.PNGB.CDPNG, bonds (INT, current US$)Economic Policy & DebtExternal debt0.162
DT.INT.PNGC.CDPNG, commercial banks and other creditors (INT, current US$)Economic Policy & DebtExternal debt0.18
DT.INT.PROP.CDPPG, other private creditors (INT, current US$)Economic Policy & DebtExternal debt0.132
DT.INT.PRVT.CDPPG, private creditors (INT, current US$)Economic Policy & DebtExternal debt0.271
DT.IXA.DPPG.CDInterest arrears, long-term DOD (US$)Economic Policy & DebtExternal debt0.209
DT.IXA.DPPG.CD.CGNet change in interest arrears (current US$)Economic Policy & DebtExternal debt0.177
DT.IXA.OFFT.CDInterest arrears, official creditors (current US$)Economic Policy & DebtExternal debt0.195
DT.IXA.PRVT.CDInterest arrears, private creditors (current US$)Economic Policy & DebtExternal debt0.165
DT.IXF.DPPG.CDInterest forgiven (current US$)Economic Policy & DebtExternal debt0.025
DT.IXR.DPPG.CDInterest rescheduled (capitalized) (current US$)Economic Policy & DebtExternal debt0.067
DT.IXR.OFFT.CDInterest rescheduled, official (current US$)Economic Policy & DebtExternal debt0.052000000000000005
DT.IXR.PRVT.CDInterest rescheduled, private (current US$)Economic Policy & DebtExternal debt0.13125
DT.MAT.DPPGAverage maturity on new external debt commitments (years)Economic Policy & DebtExternal debt0.207
DT.MAT.OFFTAverage maturity on new external debt commitments, official (years)Economic Policy & DebtExternal debt0.244
DT.MAT.PRVTAverage maturity on new external debt commitments, private (years)Economic Policy & DebtExternal debt0.243
DT.NFL.BLAT.CDNet financial flows, bilateral (NFL, current US$)Economic Policy & DebtExternal debt0.205
DT.NFL.BLTC.CDPPG, bilateral concessional (NFL, current US$)Economic Policy & DebtExternal debt0.24
DT.NFL.BOND.CDPortfolio investment, bonds (PPG + PNG) (NFL, current US$)Economic Policy & DebtExternal debt0.22899999999999998
DT.NFL.DECT.CDNet flows on external debt, total (NFL, current US$)Economic Policy & DebtExternal debt0.294
DT.NFL.DLXF.CDNet flows on external debt, long-term (NFL, current US$)Economic Policy & DebtExternal debt0.325
DT.NFL.DPNG.CDNet flows on external debt, private nonguaranteed (PNG) (NFL, current US$)Economic Policy & DebtExternal debt0.257
DT.NFL.DPPG.CDNet flows on external debt, public and publicly guaranteed (PPG) (NFL, current US$)Economic Policy & DebtExternal debt0.331
DT.NFL.DSTC.CDNet flows on external debt, short-term (NFL, current US$)Economic Policy & DebtExternal debt0.21899999999999997
DT.NFL.FAOG.CDNet official flows from UN agencies, FAO (current US$)Economic Policy & DebtOfficial development assistance0.155
DT.NFL.IAEA.CDNet official flows from UN agencies, IAEA (current US$)Economic Policy & DebtOfficial development assistance0.1725
DT.NFL.IFAD.CDNet official flows from UN agencies, IFAD (current US$)Economic Policy & DebtOfficial development assistance0.193
DT.NFL.ILOG.CDNet official flows from UN agencies, ILO (current US$)Economic Policy & DebtOfficial development assistance0.2025
DT.NFL.IMFC.CDNet financial flows, IMF concessional (NFL, current US$)Economic Policy & DebtExternal debt0.129
DT.NFL.IMFN.CDNet financial flows, IMF nonconcessional (NFL, current US$)Economic Policy & DebtExternal debt0.147
DT.NFL.MIBR.CDNet financial flows, IBRD (NFL, current US$)Economic Policy & DebtExternal debt0.32799999999999996
DT.NFL.MIDA.CDNet financial flows, IDA (NFL, current US$)Economic Policy & DebtExternal debt0.256
DT.NFL.MLAT.CDNet financial flows, multilateral (NFL, current US$)Economic Policy & DebtExternal debt0.301
DT.NFL.MLTC.CDPPG, multilateral concessional (NFL, current US$)Economic Policy & DebtExternal debt0.204
DT.NFL.MOTH.CDNet financial flows, others (NFL, current US$)Economic Policy & DebtExternal debt0.23199999999999998
DT.NFL.NEBR.CDEBRD, private nonguaranteed (NFL, current US$)Economic Policy & DebtExternal debt0.0
DT.NFL.NIFC.CDIFC, private nonguaranteed (NFL, current US$)Economic Policy & DebtExternal debt0.193
DT.NFL.OFFT.CDPPG, official creditors (NFL, current US$)Economic Policy & DebtExternal debt0.231
DT.NFL.PBND.CDPPG, bonds (NFL, current US$)Economic Policy & DebtExternal debt0.26
DT.NFL.PCBK.CDPPG, commercial banks (NFL, current US$)Economic Policy & DebtExternal debt0.28600000000000003
DT.NFL.PCBO.CDCommercial banks and other lending (PPG + PNG) (NFL, current US$)Economic Policy & DebtExternal debt0.25
DT.NFL.PNGB.CDPNG, bonds (NFL, current US$)Economic Policy & DebtExternal debt0.127
DT.NFL.PNGC.CDPNG, commercial banks and other creditors (NFL, current US$)Economic Policy & DebtExternal debt0.27899999999999997
DT.NFL.PROP.CDPPG, other private creditors (NFL, current US$)Economic Policy & DebtExternal debt0.20800000000000002
DT.NFL.PRVT.CDPPG, private creditors (NFL, current US$)Economic Policy & DebtExternal debt0.251
DT.NFL.RDBC.CDNet financial flows, RDB concessional (NFL, current US$)Economic Policy & DebtExternal debt0.24
DT.NFL.RDBN.CDNet financial flows, RDB nonconcessional (NFL, current US$)Economic Policy & DebtExternal debt0.23199999999999998
DT.NFL.UNAI.CDNet official flows from UN agencies, UNAIDS (current US$)Economic Policy & DebtOfficial development assistance0.1575
DT.NFL.UNCF.CDNet official flows from UN agencies, UNICEF (current US$)Economic Policy & DebtOfficial development assistance0.268
DT.NFL.UNCR.CDNet official flows from UN agencies, UNHCR (current US$)Economic Policy & DebtOfficial development assistance0.19699999999999998
DT.NFL.UNDP.CDNet official flows from UN agencies, UNDP (current US$)Economic Policy & DebtOfficial development assistance0.318
DT.NFL.UNEC.CDNet official flows from UN agencies, UNECE (current US$)Economic Policy & DebtOfficial development assistance0.0
DT.NFL.UNFP.CDNet official flows from UN agencies, UNFPA (current US$)Economic Policy & DebtOfficial development assistance0.27
DT.NFL.UNPB.CDNet official flows from UN agencies, UNPBF (current US$)Economic Policy & DebtOfficial development assistance0.01875
DT.NFL.UNRW.CDNet official flows from UN agencies, UNRWA (current US$)Economic Policy & DebtOfficial development assistance0.0
DT.NFL.UNTA.CDNet official flows from UN agencies, UNTA (current US$)Economic Policy & DebtOfficial development assistance0.23199999999999998
DT.NFL.WFPG.CDNet official flows from UN agencies, WFP (current US$)Economic Policy & DebtOfficial development assistance0.171
DT.NFL.WHOL.CDNet official flows from UN agencies, WHO (current US$)Economic Policy & DebtOfficial development assistance0.27125
DT.NTR.BLAT.CDPPG, bilateral (NTR, current US$)Economic Policy & DebtExternal debt0.198
DT.NTR.BLTC.CDPPG, bilateral concessional (NTR, current US$)Economic Policy & DebtExternal debt0.205
DT.NTR.DECT.CDNet transfers on external debt, total (NTR, current US$)Economic Policy & DebtExternal debt0.21600000000000003
DT.NTR.DLXF.CDNet transfers on external debt, long-term (NTR, current US$)Economic Policy & DebtExternal debt0.252
DT.NTR.DPNG.CDNet transfers on external debt, private nonguaranteed (PNG) (NTR, current US$)Economic Policy & DebtExternal debt0.302
DT.NTR.DPPG.CDNet transfers on external debt, public and publicly guaranteed (PPG) (NTR, current US$)Economic Policy & DebtExternal debt0.263
DT.NTR.MIBR.CDPPG, IBRD (NTR, current US$)Economic Policy & DebtExternal debt0.276
DT.NTR.MIDA.CDPPG, IDA (NTR, current US$)Economic Policy & DebtExternal debt0.193
DT.NTR.MLAT.CDPPG, multilateral (NTR, current US$)Economic Policy & DebtExternal debt0.282
DT.NTR.MLTC.CDPPG, multilateral concessional (NTR, current US$)Economic Policy & DebtExternal debt0.198
DT.NTR.OFFT.CDPPG, official creditors (NTR, current US$)Economic Policy & DebtExternal debt0.255
DT.NTR.PBND.CDPPG, bonds (NTR, current US$)Economic Policy & DebtExternal debt0.20800000000000002
DT.NTR.PCBK.CDPPG, commercial banks (NTR, current US$)Economic Policy & DebtExternal debt0.285
DT.NTR.PNGB.CDPNG, bonds (NTR, current US$)Economic Policy & DebtExternal debt0.183
DT.NTR.PNGC.CDPNG, commercial banks and other creditors (NTR, current US$)Economic Policy & DebtExternal debt0.27899999999999997
DT.NTR.PROP.CDPPG, other private creditors (NTR, current US$)Economic Policy & DebtExternal debt0.2
DT.NTR.PRVT.CDPPG, private creditors (NTR, current US$)Economic Policy & DebtExternal debt0.249
DT.ODA.ALLD.CDNet official development assistance and official aid received (current US$)Economic Policy & DebtOfficial development assistance0.305
DT.ODA.ALLD.KDNet official development assistance and official aid received (constant 2013 US$)Economic Policy & DebtOfficial development assistance0.303
DT.ODA.OATL.CDNet official aid received (current US$)Economic Policy & DebtOfficial development assistance0.04625
DT.ODA.OATL.KDNet official aid received (constant 2014 US$)Economic Policy & DebtOfficial development assistance0.04625
DT.ODA.ODAT.CDNet official development assistance received (current US$)Economic Policy & DebtOfficial development assistance0.294
DT.ODA.ODAT.GI.ZSNet ODA received (% of gross capital formation)Economic Policy & DebtOfficial development assistance0.32899999999999996
DT.ODA.ODAT.GN.ZSNet ODA received (% of GNI)Economic Policy & DebtOfficial development assistance0.326
DT.ODA.ODAT.KDNet official development assistance received (constant 2014 US$)Economic Policy & DebtOfficial development assistance0.282
DT.ODA.ODAT.MP.ZSNet ODA received (% of imports of goods, services and primary income)Economic Policy & DebtOfficial development assistance0.32
DT.ODA.ODAT.PC.ZSNet ODA received per capita (current US$)Economic Policy & DebtOfficial development assistance0.31
DT.ODA.ODAT.XP.ZSNet ODA received (% of central government expense)Economic Policy & DebtOfficial development assistance0.302
DT.TDS.BLAT.CDPPG, bilateral (TDS, current US$)Economic Policy & DebtExternal debt0.22899999999999998
DT.TDS.BLTC.CDPPG, bilateral concessional (TDS, current US$)Economic Policy & DebtExternal debt0.226
DT.TDS.DECT.CDDebt service on external debt, total (TDS, current US$)Economic Policy & DebtExternal debt0.213
DT.TDS.DECT.EX.ZSTotal debt service (% of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.16699999999999998
DT.TDS.DECT.GN.ZSTotal debt service (% of GNI)Economic Policy & DebtExternal debt0.204
DT.TDS.DIMF.CDIMF repurchases and charges (TDS, current US$)Economic Policy & DebtExternal debt0.198
DT.TDS.DLXF.CDDebt service on external debt, long-term (TDS, current US$)Economic Policy & DebtExternal debt0.252
DT.TDS.DPNG.CDDebt service on external debt, private nonguaranteed (PNG) (TDS, current US$)Economic Policy & DebtExternal debt0.265
DT.TDS.DPPF.XP.ZSDebt service (PPG and IMF only, % of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.17
DT.TDS.DPPG.CDDebt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)Economic Policy & DebtExternal debt0.272
DT.TDS.DPPG.GN.ZSPublic and publicly guaranteed debt service (% of GNI)Economic Policy & DebtExternal debt0.195
DT.TDS.DPPG.XP.ZSPublic and publicly guaranteed debt service (% of exports of goods, services and primary income)Economic Policy & DebtExternal debt0.18899999999999997
DT.TDS.MIBR.CDPPG, IBRD (TDS, current US$)Economic Policy & DebtExternal debt0.192
DT.TDS.MIDA.CDPPG, IDA (TDS, current US$)Economic Policy & DebtExternal debt0.19699999999999998
DT.TDS.MLAT.CDMultilateral debt service (TDS, current US$)Economic Policy & DebtExternal debt0.23399999999999999
DT.TDS.MLAT.PG.ZSMultilateral debt service (% of public and publicly guaranteed debt service)Economic Policy & DebtExternal debt0.21899999999999997
DT.TDS.MLTC.CDPPG, multilateral concessional (TDS, current US$)Economic Policy & DebtExternal debt0.26899999999999996
DT.TDS.OFFT.CDPPG, official creditors (TDS, current US$)Economic Policy & DebtExternal debt0.263
DT.TDS.PBND.CDPPG, bonds (TDS, current US$)Economic Policy & DebtExternal debt0.258
DT.TDS.PCBK.CDPPG, commercial banks (TDS, current US$)Economic Policy & DebtExternal debt0.28
DT.TDS.PNGB.CDPNG, bonds (TDS, current US$)Economic Policy & DebtExternal debt0.18
DT.TDS.PNGC.CDPNG, commercial banks and other creditors (TDS, current US$)Economic Policy & DebtExternal debt0.258
DT.TDS.PROP.CDPPG, other private creditors (TDS, current US$)Economic Policy & DebtExternal debt0.213
DT.TDS.PRVT.CDPPG, private creditors (TDS, current US$)Economic Policy & DebtExternal debt0.257
DT.TXR.DPPG.CDTotal amount of debt rescheduled (current US$)Economic Policy & DebtExternal debt0.165
DT.UND.DPPG.CDUndisbursed external debt, total (UND, current US$)Economic Policy & DebtExternal debt0.253
DT.UND.OFFT.CDUndisbursed external debt, official creditors (UND, current US$)Economic Policy & DebtExternal debt0.256
DT.UND.PRVT.CDUndisbursed external debt, private creditors (UND, current US$)Economic Policy & DebtExternal debt0.217
EA.PRD.AGRI.KDAgriculture value added per worker (constant 2010 US$)EnvironmentAgricultural production0.0
EG.CFT.ACCS.ZSAccess to clean fuels and technologies for cooking (% of population)EnvironmentEnergy production & use0.503
EG.EGY.PRIM.PP.KDEnergy intensity level of primary energy (MJ/$2011 PPP GDP)EnvironmentEnergy production & use0.328333333
EG.ELC.ACCS.RU.ZSAccess to electricity, rural (% of rural population)EnvironmentEnergy production & use0.251666667
EG.ELC.ACCS.UR.ZSAccess to electricity, urban (% of urban population)EnvironmentEnergy production & use0.276666667
EG.ELC.ACCS.ZSAccess to electricity (% of population)EnvironmentEnergy production & use0.2725
EG.ELC.COAL.ZSElectricity production from coal sources (% of total)EnvironmentEnergy production & use0.303333333
EG.ELC.FOSL.ZSElectricity production from oil, gas and coal sources (% of total)EnvironmentEnergy production & use0.35666666700000005
EG.ELC.HYRO.ZSElectricity production from hydroelectric sources (% of total)EnvironmentEnergy production & use0.5216666670000001
EG.ELC.LOSS.ZSElectric power transmission and distribution losses (% of output)EnvironmentEnergy production & use0.4975
EG.ELC.NGAS.ZSElectricity production from natural gas sources (% of total)EnvironmentEnergy production & use0.40083333299999996
EG.ELC.NUCL.ZSElectricity production from nuclear sources (% of total)EnvironmentEnergy production & use0.325833333
EG.ELC.PETR.ZSElectricity production from oil sources (% of total)EnvironmentEnergy production & use0.4075
EG.ELC.RNEW.ZSRenewable electricity output (% of total electricity output)EnvironmentEnergy production & use0.40166666700000003
EG.ELC.RNWX.KHElectricity production from renewable sources, excluding hydroelectric (kWh)EnvironmentEnergy production & use0.430833333
EG.ELC.RNWX.ZSElectricity production from renewable sources, excluding hydroelectric (% of total)EnvironmentEnergy production & use0.35916666700000005
EG.FEC.RNEW.ZSRenewable energy consumption (% of total final energy consumption)EnvironmentEnergy production & use0.485833333
EG.GDP.PUSE.KO.PPGDP per unit of energy use (PPP $ per kg of oil equivalent)EnvironmentEnergy production & use0.345
EG.GDP.PUSE.KO.PP.KDGDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent)EnvironmentEnergy production & use0.32666666699999997
EG.IMP.CONS.ZSEnergy imports, net (% of energy use)EnvironmentEnergy production & use0.3975
EG.USE.COMM.CL.ZSAlternative and nuclear energy (% of total energy use)EnvironmentEnergy production & use0.47916666700000005
EG.USE.COMM.FO.ZSFossil fuel energy consumption (% of total)EnvironmentEnergy production & use0.439166667
EG.USE.COMM.GD.PP.KDEnergy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP)EnvironmentEnergy production & use0.316666667
EG.USE.CRNW.ZSCombustible renewables and waste (% of total energy)EnvironmentEnergy production & use0.46166666700000003
EG.USE.ELEC.KH.PCElectric power consumption (kWh per capita)EnvironmentEnergy production & use0.5625
EG.USE.PCAP.KG.OEEnergy use (kg of oil equivalent per capita)EnvironmentEnergy production & use0.601666667
EN.ATM.CO2E.EG.ZSCO2 intensity (kg per kg of oil equivalent energy use)EnvironmentEmissions0.40333333299999996
EN.ATM.CO2E.GF.KTCO2 emissions from gaseous fuel consumption (kt)EnvironmentEmissions0.5075
EN.ATM.CO2E.GF.ZSCO2 emissions from gaseous fuel consumption (% of total)EnvironmentEmissions0.475
EN.ATM.CO2E.KD.GDCO2 emissions (kg per 2010 US$ of GDP)EnvironmentEmissions0.33833333299999996
EN.ATM.CO2E.KTCO2 emissions (kt)EnvironmentEmissions0.4875
EN.ATM.CO2E.LF.KTCO2 emissions from liquid fuel consumption (kt)EnvironmentEmissions0.47916666700000005
EN.ATM.CO2E.LF.ZSCO2 emissions from liquid fuel consumption (% of total)EnvironmentEmissions0.493333333
EN.ATM.CO2E.PCCO2 emissions (metric tons per capita)EnvironmentEmissions0.5775
EN.ATM.CO2E.PP.GDCO2 emissions (kg per PPP $ of GDP)EnvironmentEmissions0.373333333
EN.ATM.CO2E.PP.GD.KDCO2 emissions (kg per 2011 PPP $ of GDP)EnvironmentEmissions0.370833333
EN.ATM.CO2E.SF.KTCO2 emissions from solid fuel consumption (kt)EnvironmentEmissions0.45916666700000003
EN.ATM.CO2E.SF.ZSCO2 emissions from solid fuel consumption (% of total)EnvironmentEmissions0.42416666700000005
EN.ATM.GHGO.KT.CEOther greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.45583333299999995
EN.ATM.GHGO.ZGOther greenhouse gas emissions (% change from 1990)EnvironmentEmissions0.337
EN.ATM.GHGT.KT.CETotal greenhouse gas emissions (kt of CO2 equivalent)EnvironmentEmissions0.418333333
EN.ATM.GHGT.ZGTotal greenhouse gas emissions (% change from 1990)EnvironmentEmissions0.473
EN.ATM.HFCG.KT.CEHFC gas emissions (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.48125
EN.ATM.METH.AG.KT.CEAgricultural methane emissions (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.3225
EN.ATM.METH.AG.ZSAgricultural methane emissions (% of total)EnvironmentEmissions0.446666667
EN.ATM.METH.EG.KT.CEMethane emissions in energy sector (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.46916666700000004
EN.ATM.METH.EG.ZSEnergy related methane emissions (% of total)EnvironmentEmissions0.40416666700000003
EN.ATM.METH.KT.CEMethane emissions (kt of CO2 equivalent)EnvironmentEmissions0.439166667
EN.ATM.METH.ZGMethane emissions (% change from 1990)EnvironmentEmissions0.44
EN.ATM.NOXE.AG.KT.CEAgricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.318333333
EN.ATM.NOXE.AG.ZSAgricultural nitrous oxide emissions (% of total)EnvironmentEmissions0.3675
EN.ATM.NOXE.EG.KT.CENitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.418333333
EN.ATM.NOXE.EG.ZSNitrous oxide emissions in energy sector (% of total)EnvironmentEmissions0.480833333
EN.ATM.NOXE.KT.CENitrous oxide emissions (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.4475
EN.ATM.NOXE.ZGNitrous oxide emissions (% change from 1990)EnvironmentEmissions0.364
EN.ATM.PFCG.KT.CEPFC gas emissions (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.43125
EN.ATM.PM25.MC.M3PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)EnvironmentEmissions0.5
EN.ATM.PM25.MC.ZSPM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)EnvironmentEmissions0.34875
EN.ATM.SF6G.KT.CESF6 gas emissions (thousand metric tons of CO2 equivalent)EnvironmentEmissions0.515
EN.BIR.THRD.NOBird species, threatenedEnvironmentBiodiversity & protected areas0.49
EN.CLC.DRSK.XQDisaster risk reduction progress score (1-5 scale; 5=best)EnvironmentLand use0.16375
EN.CLC.GHGR.MT.CEGHG net emissions/removals by LUCF (Mt of CO2 equivalent)EnvironmentEmissions0.327
EN.CLC.MDAT.ZSDroughts, floods, extreme temperatures (% of population, average 1990-2009)EnvironmentLand use0.45625
EN.CO2.BLDG.ZSCO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)EnvironmentEmissions0.355833333
EN.CO2.ETOT.ZSCO2 emissions from electricity and heat production, total (% of total fuel combustion)EnvironmentEmissions0.301666667
EN.CO2.MANF.ZSCO2 emissions from manufacturing industries and construction (% of total fuel combustion)EnvironmentEmissions0.35
EN.CO2.OTHX.ZSCO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion)EnvironmentEmissions0.355
EN.CO2.TRAN.ZSCO2 emissions from transport (% of total fuel combustion)EnvironmentEmissions0.36166666700000005
EN.FSH.THRD.NOFish species, threatenedEnvironmentBiodiversity & protected areas0.4175
EN.HPT.THRD.NOPlant species (higher), threatenedEnvironmentBiodiversity & protected areas0.4375
EN.MAM.THRD.NOMammal species, threatenedEnvironmentBiodiversity & protected areas0.51
EN.POP.DNSTPopulation density (people per sq. km of land area)EnvironmentDensity & urbanization0.316666667
EN.POP.EL5M.RU.ZSRural population living in areas where elevation is below 5 meters (% of total population)EnvironmentLand use0.30375
EN.POP.EL5M.UR.ZSUrban population living in areas where elevation is below 5 meters (% of total population)EnvironmentLand use0.315
EN.POP.EL5M.ZSPopulation living in areas where elevation is below 5 meters (% of total population)EnvironmentLand use0.36875
EN.POP.SLUM.UR.ZSPopulation living in slums (% of urban population)EnvironmentDensity & urbanization0.15
EN.URB.LCTYPopulation in largest cityEnvironmentDensity & urbanization0.35333333299999997
EN.URB.LCTY.UR.ZSPopulation in the largest city (% of urban population)EnvironmentDensity & urbanization0.4525
EN.URB.MCTYPopulation in urban agglomerations of more than 1 millionEnvironmentDensity & urbanization0.431666667
EN.URB.MCTY.TL.ZSPopulation in urban agglomerations of more than 1 million (% of total population)EnvironmentDensity & urbanization0.433333333
EP.PMP.DESL.CDPump price for diesel fuel (US$ per liter)InfrastructureTransportation0.46625
EP.PMP.SGAS.CDPump price for gasoline (US$ per liter)InfrastructureTransportation0.4875
ER.FSH.AQUA.MTAquaculture production (metric tons)EnvironmentAgricultural production0.39833333299999996
ER.FSH.CAPT.MTCapture fisheries production (metric tons)EnvironmentAgricultural production0.3525
ER.FSH.PROD.MTTotal fisheries production (metric tons)EnvironmentAgricultural production0.3625
ER.GDP.FWTL.M3.KDWater productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal)EnvironmentFreshwater0.555
ER.H2O.FWAG.ZSAnnual freshwater withdrawals, agriculture (% of total freshwater withdrawal)EnvironmentFreshwater0.55875
ER.H2O.FWDM.ZSAnnual freshwater withdrawals, domestic (% of total freshwater withdrawal)EnvironmentFreshwater0.3225
ER.H2O.FWIN.ZSAnnual freshwater withdrawals, industry (% of total freshwater withdrawal)EnvironmentFreshwater0.555
ER.H2O.FWTL.K3Annual freshwater withdrawals, total (billion cubic meters)EnvironmentFreshwater0.33875
ER.H2O.FWTL.ZSAnnual freshwater withdrawals, total (% of internal resources)EnvironmentFreshwater0.31
ER.H2O.INTR.K3Renewable internal freshwater resources, total (billion cubic meters)EnvironmentFreshwater0.33875
ER.H2O.INTR.PCRenewable internal freshwater resources per capita (cubic meters)EnvironmentFreshwater0.35
ER.LND.PTLD.ZSTerrestrial protected areas (% of total land area)EnvironmentBiodiversity & protected areas0.31625
ER.MRN.PTMR.ZSMarine protected areas (% of territorial waters)EnvironmentBiodiversity & protected areas0.3925
ER.PTD.TOTL.ZSTerrestrial and marine protected areas (% of total territorial area)EnvironmentBiodiversity & protected areas0.4325
FB.AST.NPER.ZSBank nonperforming loans to total gross loans (%)Financial SectorAssets0.43799999999999994
FB.ATM.TOTL.P5Automated teller machines (ATMs) (per 100,000 adults)Financial SectorAccess0.479
FB.BNK.CAPA.ZSBank capital to assets ratio (%)Financial SectorAssets0.42200000000000004
FB.CBK.BRCH.P5Commercial bank branches (per 100,000 adults)Financial SectorAccess0.41100000000000003
FB.CBK.BRWR.P3Borrowers from commercial banks (per 1,000 adults)Financial SectorAccess0.298888889
FB.CBK.DPTR.P3Depositors with commercial banks (per 1,000 adults)Financial SectorAccess0.258888889
FB.POS.TOTL.P5Point-of-sale terminals (per 100,000 adults)Financial SectorAccess0.0
FD.AST.PRVT.GD.ZSDomestic credit to private sector by banks (% of GDP)Financial SectorAssets0.434166667
FD.RES.LIQU.AS.ZSBank liquid reserves to bank assets ratio (%)Financial SectorAssets0.319
FI.RES.TOTL.CDTotal reserves (includes gold, current US$)Economic Policy & DebtBalance of payments0.5066666670000001
FI.RES.TOTL.DT.ZSTotal reserves (% of total external debt)Economic Policy & DebtBalance of payments0.23399999999999999
FI.RES.TOTL.MOTotal reserves in months of importsEconomic Policy & DebtBalance of payments0.4175
FI.RES.XGLD.CDTotal reserves minus gold (current US$)Economic Policy & DebtBalance of payments0.5025
FM.AST.CGOV.ZG.M3Claims on central government (annual growth as % of broad money)Financial SectorAssets0.270833333
FM.AST.DOMO.ZG.M3Claims on other sectors of the domestic economy (annual growth as % of broad money)Financial SectorAssets0.22888888899999998
FM.AST.DOMS.CNNet domestic credit (current LCU)Financial SectorAssets0.375833333
FM.AST.NFRG.CNNet foreign assets (current LCU)Financial SectorAssets0.315833333
FM.AST.PRVT.ZG.M3Claims on private sector (annual growth as % of broad money)Financial SectorAssets0.240833333
FM.LBL.BMNY.CNBroad money (current LCU)Financial SectorMonetary holdings (liabilities)0.3075
FM.LBL.BMNY.GD.ZSBroad money (% of GDP)Financial SectorMonetary holdings (liabilities)0.345
FM.LBL.BMNY.IR.ZSBroad money to total reserves ratioFinancial SectorMonetary holdings (liabilities)0.296666667
FM.LBL.BMNY.ZGBroad money growth (annual %)Financial SectorMonetary holdings (liabilities)0.275
FP.CPI.TOTLConsumer price index (2010 = 100)Financial SectorExchange rates & prices0.34
FP.CPI.TOTL.ZGInflation, consumer prices (annual %)Financial SectorExchange rates & prices0.41333333299999997
FP.WPI.TOTLWholesale price index (2010 = 100)Financial SectorExchange rates & prices0.12
FR.INR.DPSTDeposit interest rate (%)Financial SectorInterest rates0.29636363600000004
FR.INR.LENDLending interest rate (%)Financial SectorInterest rates0.39916666700000003
FR.INR.LNDPInterest rate spread (lending rate minus deposit rate, %)Financial SectorInterest rates0.391
FR.INR.RINRReal interest rate (%)Financial SectorInterest rates0.294166667
FR.INR.RISKRisk premium on lending (lending rate minus treasury bill rate, %)Financial SectorInterest rates0.28800000000000003
FS.AST.CGOV.GD.ZSClaims on central government, etc. (% GDP)Financial SectorAssets0.3675
FS.AST.DOMO.GD.ZSClaims on other sectors of the domestic economy (% of GDP)Financial SectorAssets0.251111111
FS.AST.DOMS.GD.ZSDomestic credit provided by financial sector (% of GDP)Financial SectorAssets0.47416666700000004
FS.AST.PRVT.GD.ZSDomestic credit to private sector (% of GDP)Financial SectorAssets0.4325
GB.XPD.RSDV.GD.ZSResearch and development expenditure (% of GDP)InfrastructureTechnology0.534
GC.AST.TOTL.CNNet acquisition of financial assets (current LCU)Public SectorGovernment finance0.289
GC.AST.TOTL.GD.ZSNet acquisition of financial assets (% of GDP)Public SectorGovernment finance0.33
GC.DOD.TOTL.CNCentral government debt, total (current LCU)Public SectorGovernment finance0.2
GC.DOD.TOTL.GD.ZSCentral government debt, total (% of GDP)Public SectorGovernment finance0.196
GC.LBL.TOTL.CNNet incurrence of liabilities, total (current LCU)Public SectorGovernment finance0.425
GC.LBL.TOTL.GD.ZSNet incurrence of liabilities, total (% of GDP)Public SectorGovernment finance0.305
GC.NFN.TOTL.CNNet investment in nonfinancial assets (current LCU)Public SectorGovernment finance0.394166667
GC.NFN.TOTL.GD.ZSNet investment in nonfinancial assets (% of GDP)Public SectorGovernment finance0.375833333
GC.NLD.TOTL.CNNet lending (+) / net borrowing (-) (current LCU)Public SectorGovernment finance0.39666666700000003
GC.NLD.TOTL.GD.ZSNet lending (+) / net borrowing (-) (% of GDP)Public SectorGovernment finance0.428333333
GC.REV.GOTR.CNGrants and other revenue (current LCU)Public SectorGovernment finance0.37
GC.REV.GOTR.ZSGrants and other revenue (% of revenue)Public SectorGovernment finance0.33583333299999996
GC.REV.SOCL.CNSocial contributions (current LCU)Public SectorGovernment finance0.434166667
GC.REV.SOCL.ZSSocial contributions (% of revenue)Public SectorGovernment finance0.423333333
GC.REV.XGRT.CNRevenue, excluding grants (current LCU)Public SectorGovernment finance0.43
GC.REV.XGRT.GD.ZSRevenue, excluding grants (% of GDP)Public SectorGovernment finance0.451666667
GC.TAX.EXPT.CNTaxes on exports (current LCU)Public SectorGovernment finance0.162222222
GC.TAX.EXPT.ZSTaxes on exports (% of tax revenue)Public SectorGovernment finance0.14111111099999998
GC.TAX.GSRV.CNTaxes on goods and services (current LCU)Public SectorGovernment finance0.40333333299999996
GC.TAX.GSRV.RV.ZSTaxes on goods and services (% of revenue)Public SectorGovernment finance0.35416666700000005
GC.TAX.GSRV.VA.ZSTaxes on goods and services (% value added of industry and services)Public SectorGovernment finance0.360833333
GC.TAX.IMPT.CNCustoms and other import duties (current LCU)Public SectorGovernment finance0.431
GC.TAX.IMPT.ZSCustoms and other import duties (% of tax revenue)Public SectorGovernment finance0.489
GC.TAX.INTT.CNTaxes on international trade (current LCU)Public SectorGovernment finance0.44299999999999995
GC.TAX.INTT.RV.ZSTaxes on international trade (% of revenue)Public SectorGovernment finance0.423
GC.TAX.OTHR.CNOther taxes (current LCU)Public SectorGovernment finance0.325
GC.TAX.OTHR.RV.ZSOther taxes (% of revenue)Public SectorGovernment finance0.358333333
GC.TAX.TOTL.CNTax revenue (current LCU)Public SectorGovernment finance0.40833333299999997
GC.TAX.TOTL.GD.ZSTax revenue (% of GDP)Public SectorGovernment finance0.41583333299999997
GC.TAX.YPKG.CNTaxes on income, profits and capital gains (current LCU)Public SectorGovernment finance0.28
GC.TAX.YPKG.RV.ZSTaxes on income, profits and capital gains (% of revenue)Public SectorGovernment finance0.330833333
GC.TAX.YPKG.ZSTaxes on income, profits and capital gains (% of total taxes)Public SectorGovernment finance0.373333333
GC.XPN.COMP.CNCompensation of employees (current LCU)Public SectorGovernment finance0.40666666700000004
GC.XPN.COMP.ZSCompensation of employees (% of expense)Public SectorGovernment finance0.47583333299999997
GC.XPN.GSRV.CNGoods and services expense (current LCU)Public SectorGovernment finance0.33
GC.XPN.GSRV.ZSGoods and services expense (% of expense)Public SectorGovernment finance0.35666666700000005
GC.XPN.INTP.CNInterest payments (current LCU)Public SectorGovernment finance0.35333333299999997
GC.XPN.INTP.RV.ZSInterest payments (% of revenue)Public SectorGovernment finance0.385
GC.XPN.INTP.ZSInterest payments (% of expense)Public SectorGovernment finance0.38333333299999994
GC.XPN.OTHR.CNOther expense (current LCU)Public SectorGovernment finance0.440833333
GC.XPN.OTHR.ZSOther expense (% of expense)Public SectorGovernment finance0.368333333
GC.XPN.TOTL.CNExpense (current LCU)Public SectorGovernment finance0.430833333
GC.XPN.TOTL.GD.ZSExpense (% of GDP)Public SectorGovernment finance0.434166667
GC.XPN.TRFT.CNSubsidies and other transfers (current LCU)Public SectorGovernment finance0.49
GC.XPN.TRFT.ZSSubsidies and other transfers (% of expense)Public SectorGovernment finance0.44583333299999994
IC.BUS.DFRN.XQDistance to frontier score (0=lowest performance to 100=frontier)Private Sector & TradeBusiness environment0.52375
IC.BUS.DISC.XQBusiness extent of disclosure index (0=less disclosure to 10=more disclosure)Private Sector & TradeBusiness environment0.254
IC.BUS.EASE.XQEase of doing business index (1=most business-friendly regulations)Private Sector & TradeBusiness environment0.0
IC.BUS.NDNS.ZSNew business density (new registrations per 1,000 people ages 15-64)Private Sector & TradeBusiness environment0.425
IC.BUS.NREGNew businesses registered (number)Private Sector & TradeBusiness environment0.43125
IC.CRD.INFO.XQDepth of credit information index (0=low to 8=high)Private Sector & TradeBusiness environment0.37125
IC.CRD.PRVT.ZSPrivate credit bureau coverage (% of adults)Private Sector & TradeBusiness environment0.397
IC.CRD.PUBL.ZSPublic credit registry coverage (% of adults)Private Sector & TradeBusiness environment0.354
IC.CUS.DURS.EXAverage time to clear exports through customs (days)Private Sector & TradeBusiness environment0.32375
IC.ELC.DURSDelay in obtaining an electrical connection (days)Private Sector & TradeBusiness environment0.19
IC.ELC.OUTGPower outages in firms in a typical month (number)Private Sector & TradeBusiness environment0.32125
IC.ELC.TIMETime required to get electricity (days)Private Sector & TradeBusiness environment0.39375
IC.EXP.COST.CDCost to export (US$ per container)Private Sector & TradeBusiness environment0.0
IC.EXP.CSBC.CDCost to export, border compliance (US$)Private Sector & TradeTrade facilitation0.5775
IC.EXP.CSDC.CDCost to export, documentary compliance (US$)Private Sector & TradeTrade facilitation0.56625
IC.EXP.DOCSDocuments to export (number)Private Sector & TradeTrade facilitation0.0
IC.EXP.DURSTime to export (days)Private Sector & TradeTrade facilitation0.0
IC.EXP.TMBCTime to export, border compliance (hours)Private Sector & TradeTrade facilitation0.0
IC.EXP.TMDCTime to export, documentary compliance (hours)Private Sector & TradeTrade facilitation0.0
IC.FRM.BKWC.ZSFirms using banks to finance working capital (% of firms)Private Sector & TradeBusiness environment0.18125
IC.FRM.BNKS.ZSFirms using banks to finance investment (% of firms)Private Sector & TradeBusiness environment0.165
IC.FRM.BRIB.ZSBribery incidence (% of firms experiencing at least one bribe payment request)Private Sector & TradeBusiness environment0.285
IC.FRM.CMPU.ZSFirms competing against unregistered firms (% of firms)Private Sector & TradeBusiness environment0.23375
IC.FRM.CORR.ZSInformal payments to public officials (% of firms)Private Sector & TradeBusiness environment0.17375
IC.FRM.CRIM.ZSLosses due to theft, robbery, vandalism, and arson (% sales)Private Sector & TradeBusiness environment0.2875
IC.FRM.DURSTime required to obtain an operating license (days)Private Sector & TradeBusiness environment0.17375
IC.FRM.FEMM.ZSFirms with female top manager (% of firms)Private Sector & TradeBusiness environment0.17
IC.FRM.FEMO.ZSFirms with female participation in ownership (% of firms)Private Sector & TradeBusiness environment0.2175
IC.FRM.FREG.ZSFirms formally registered when operations started (% of firms)Private Sector & TradeBusiness environment0.27
IC.FRM.INFM.ZSFirms that do not report all sales for tax purposes (% of firms)Private Sector & TradeBusiness environment0.18375
IC.FRM.ISOC.ZSInternationally-recognized quality certification (% of firms)Private Sector & TradeBusiness environment0.07625
IC.FRM.OUTG.ZSValue lost due to electrical outages (% of sales)Private Sector & TradeBusiness environment0.18125
IC.FRM.TRNG.ZSFirms offering formal training (% of firms)Private Sector & TradeBusiness environment0.14625
IC.GOV.DURS.ZSTime spent dealing with the requirements of government regulations (% of senior management time)Private Sector & TradeBusiness environment0.15125
IC.IMP.COST.CDCost to import (US$ per container)Private Sector & TradeBusiness environment0.0
IC.IMP.CSBC.CDCost to import, border compliance (US$)Private Sector & TradeTrade facilitation0.455
IC.IMP.CSDC.CDCost to import, documentary compliance (US$)Private Sector & TradeTrade facilitation0.48
IC.IMP.DOCSDocuments to import (number)Private Sector & TradeTrade facilitation0.0
IC.IMP.DURSTime to import (days)Private Sector & TradeTrade facilitation0.0
IC.IMP.TMBCTime to import, border compliance (hours)Private Sector & TradeTrade facilitation0.41875
IC.IMP.TMDCTime to import, documentary compliance (hours)Private Sector & TradeTrade facilitation0.46
IC.ISV.DURSTime to resolve insolvency (years)Private Sector & TradeBusiness environment0.33399999999999996
IC.LGL.CRED.XQStrength of legal rights index (0=weak to 12=strong)Private Sector & TradeBusiness environment0.445
IC.LGL.DURSTime required to enforce a contract (days)Private Sector & TradeBusiness environment0.462
IC.PRP.DURSTime required to register property (days)Private Sector & TradeBusiness environment0.43
IC.PRP.PROCProcedures to register property (number)Private Sector & TradeBusiness environment0.284
IC.REG.COST.PC.FE.ZSCost of business start-up procedures, female (% of GNI per capita)Private Sector & TradeBusiness environment0.451
IC.REG.COST.PC.MA.ZSCost of business start-up procedures, male (% of GNI per capita)Private Sector & TradeBusiness environment0.451
IC.REG.COST.PC.ZSCost of business start-up procedures (% of GNI per capita)Private Sector & TradeBusiness environment0.379
IC.REG.DURSTime required to start a business (days)Private Sector & TradeBusiness environment0.428
IC.REG.DURS.FETime required to start a business, female (days)Private Sector & TradeBusiness environment0.43
IC.REG.DURS.MATime required to start a business, male (days)Private Sector & TradeBusiness environment0.414
IC.REG.PROCStart-up procedures to register a business (number)Private Sector & TradeBusiness environment0.19899999999999998
IC.REG.PROC.FEStart-up procedures to register a business, female (number)Private Sector & TradeBusiness environment0.18600000000000003
IC.REG.PROC.MAStart-up procedures to register a business, male (number)Private Sector & TradeBusiness environment0.205
IC.TAX.DURSTime to prepare and pay taxes (hours)Private Sector & TradeBusiness environment0.355
IC.TAX.GIFT.ZSFirms expected to give gifts in meetings with tax officials (% of firms)Private Sector & TradeBusiness environment0.2225
IC.TAX.LABR.CP.ZSLabor tax and contributions (% of commercial profits)Private Sector & TradeBusiness environment0.48700000000000004
IC.TAX.METGNumber of visits or required meetings with tax officialsPrivate Sector & TradeBusiness environment0.22625
IC.TAX.OTHR.CP.ZSOther taxes payable by businesses (% of commercial profits)Private Sector & TradeBusiness environment0.418
IC.TAX.PAYMTax payments (number)Private Sector & TradeBusiness environment0.414
IC.TAX.PRFT.CP.ZSProfit tax (% of commercial profits)Private Sector & TradeBusiness environment0.35200000000000004
IC.TAX.TOTL.CP.ZSTotal tax rate (% of commercial profits)Private Sector & TradeBusiness environment0.35700000000000004
IC.WRH.DURSTime required to build a warehouse (days)Private Sector & TradeBusiness environment0.317
IC.WRH.PROCProcedures to build a warehouse (number)Private Sector & TradeBusiness environment0.34299999999999997
IE.PPI.ENGY.CDInvestment in energy with private participation (current US$)Private Sector & TradePrivate infrastructure investment0.231
IE.PPI.TELE.CDInvestment in telecoms with private participation (current US$)Private Sector & TradePrivate infrastructure investment0.0
IE.PPI.TRAN.CDInvestment in transport with private participation (current US$)Private Sector & TradePrivate infrastructure investment0.16125
IE.PPI.WATR.CDInvestment in water and sanitation with private participation (current US$)Private Sector & TradePrivate infrastructure investment0.09375
IP.IDS.NRCTIndustrial design applications, nonresident, by countInfrastructureTechnology0.443636364
IP.IDS.RSCTIndustrial design applications, resident, by countInfrastructureTechnology0.446363636
IP.JRN.ARTC.SCScientific and technical journal articlesInfrastructureTechnology0.565
IP.PAT.NRESPatent applications, nonresidentsInfrastructureTechnology0.34166666700000003
IP.PAT.RESDPatent applications, residentsInfrastructureTechnology0.45916666700000003
IP.TMK.NRCTTrademark applications, nonresident, by countInfrastructureTechnology0.40375
IP.TMK.NRESTrademark applications, direct nonresidentInfrastructureTechnology0.51
IP.TMK.RESDTrademark applications, direct residentInfrastructureTechnology0.415
IP.TMK.RSCTTrademark applications, resident, by countInfrastructureTechnology0.43
IP.TMK.TOTLTrademark applications, totalInfrastructureTechnology0.495833333
IQ.CPA.BREG.XQCPIA business regulatory environment rating (1=low to 6=high)Public SectorPolicy & institutions0.1275
IQ.CPA.DEBT.XQCPIA debt policy rating (1=low to 6=high)Public SectorPolicy & institutions0.08
IQ.CPA.ECON.XQCPIA economic management cluster average (1=low to 6=high)Public SectorPolicy & institutions0.08375
IQ.CPA.ENVR.XQCPIA policy and institutions for environmental sustainability rating (1=low to 6=high)Public SectorPolicy & institutions0.09125
IQ.CPA.FINQ.XQCPIA quality of budgetary and financial management rating (1=low to 6=high)Public SectorPolicy & institutions0.08
IQ.CPA.FINS.XQCPIA financial sector rating (1=low to 6=high)Public SectorPolicy & institutions0.01875
IQ.CPA.FISP.XQCPIA fiscal policy rating (1=low to 6=high)Public SectorPolicy & institutions0.08
IQ.CPA.GNDR.XQCPIA gender equality rating (1=low to 6=high)Public SectorPolicy & institutions0.11
IQ.CPA.HRES.XQCPIA building human resources rating (1=low to 6=high)Public SectorPolicy & institutions0.07
IQ.CPA.IRAI.XQIDA resource allocation index (1=low to 6=high)Public SectorPolicy & institutions0.12875
IQ.CPA.MACR.XQCPIA macroeconomic management rating (1=low to 6=high)Public SectorPolicy & institutions0.0875
IQ.CPA.PADM.XQCPIA quality of public administration rating (1=low to 6=high)Public SectorPolicy & institutions0.0275
IQ.CPA.PRES.XQCPIA equity of public resource use rating (1=low to 6=high)Public SectorPolicy & institutions0.04
IQ.CPA.PROP.XQCPIA property rights and rule-based governance rating (1=low to 6=high)Public SectorPolicy & institutions0.08
IQ.CPA.PROT.XQCPIA social protection rating (1=low to 6=high)Public SectorPolicy & institutions0.08625
IQ.CPA.PUBS.XQCPIA public sector management and institutions cluster average (1=low to 6=high)Public SectorPolicy & institutions0.1
IQ.CPA.REVN.XQCPIA efficiency of revenue mobilization rating (1=low to 6=high)Public SectorPolicy & institutions0.0
IQ.CPA.SOCI.XQCPIA policies for social inclusion/equity cluster average (1=low to 6=high)Public SectorPolicy & institutions0.10625
IQ.CPA.STRC.XQCPIA structural policies cluster average (1=low to 6=high)Public SectorPolicy & institutions0.165
IQ.CPA.TRAD.XQCPIA trade rating (1=low to 6=high)Public SectorPolicy & institutions0.015
IQ.CPA.TRAN.XQCPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)Public SectorPolicy & institutions0.09
IQ.SCI.MTHDMethodology assessment of statistical capacity (scale 0 - 100)Public SectorPolicy & institutions0.223333333
IQ.SCI.OVRLOverall level of statistical capacity (scale 0 - 100)Public SectorPolicy & institutions0.203333333
IQ.SCI.PRDCPeriodicity and timeliness assessment of statistical capacity (scale 0 - 100)Public SectorPolicy & institutions0.19
IQ.SCI.SRCESource data assessment of statistical capacity (scale 0 - 100)Public SectorPolicy & institutions0.12666666699999998
IQ.WEF.CUST.XQBurden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient)InfrastructureTransportation0.515
IQ.WEF.PORT.XQQuality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards)InfrastructureTransportation0.51
IS.AIR.DPRTAir transport, registered carrier departures worldwideInfrastructureTransportation0.40833333299999997
IS.AIR.GOOD.MT.K1Air transport, freight (million ton-km)InfrastructureTransportation0.44833333299999995
IS.AIR.PSGRAir transport, passengers carriedInfrastructureTransportation0.433333333
IS.RRS.GOOD.MT.K6Railways, goods transported (million ton-km)InfrastructureTransportation0.37222222200000005
IS.RRS.PASG.KMRailways, passengers carried (million passenger-km)InfrastructureTransportation0.503
IS.RRS.TOTL.KMRail lines (total route-km)InfrastructureTransportation0.42916666700000006
IS.SHP.GCNW.XQLiner shipping connectivity index (maximum value in 2004 = 100)InfrastructureTransportation0.455
IS.SHP.GOOD.TUContainer port traffic (TEU: 20 foot equivalent units)InfrastructureTransportation0.44299999999999995
IT.CEL.SETSMobile cellular subscriptionsInfrastructureCommunications0.358333333
IT.CEL.SETS.P2Mobile cellular subscriptions (per 100 people)InfrastructureCommunications0.5033333329999999
IT.MLT.MAINFixed telephone subscriptionsInfrastructureCommunications0.48166666700000005
IT.MLT.MAIN.P2Fixed telephone subscriptions (per 100 people)InfrastructureCommunications0.46416666700000003
IT.NET.BBNDFixed broadband subscriptionsInfrastructureCommunications0.511
IT.NET.BBND.P2Fixed broadband subscriptions (per 100 people)InfrastructureCommunications0.583
IT.NET.SECRSecure Internet serversInfrastructureCommunications0.55625
IT.NET.SECR.P6Secure Internet servers (per 1 million people)InfrastructureCommunications0.5870000000000001
IT.NET.USER.ZSIndividuals using the Internet (% of population)InfrastructureCommunications0.5658333329999999
LP.EXP.DURS.MDLead time to export, median case (days)Private Sector & TradeTrade facilitation0.29125
LP.IMP.DURS.MDLead time to import, median case (days)Private Sector & TradeTrade facilitation0.2575
LP.LPI.CUST.XQLogistics performance index: Efficiency of customs clearance process (1=low to 5=high)Private Sector & TradeTrade facilitation0.50375
LP.LPI.INFR.XQLogistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)Private Sector & TradeTrade facilitation0.48625
LP.LPI.ITRN.XQLogistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)Private Sector & TradeTrade facilitation0.5375
LP.LPI.LOGS.XQLogistics performance index: Competence and quality of logistics services (1=low to 5=high)Private Sector & TradeTrade facilitation0.5625
LP.LPI.OVRL.XQLogistics performance index: Overall (1=low to 5=high)Private Sector & TradeTrade facilitation0.495
LP.LPI.TIME.XQLogistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)Private Sector & TradeTrade facilitation0.49125
LP.LPI.TRAC.XQLogistics performance index: Ability to track and trace consignments (1=low to 5=high)Private Sector & TradeTrade facilitation0.52625
MS.MIL.MPRT.KDArms imports (SIPRI trend indicator values)Public SectorDefense & arms trade0.3925
MS.MIL.TOTL.P1Armed forces personnel, totalPublic SectorDefense & arms trade0.35083333299999997
MS.MIL.TOTL.TF.ZSArmed forces personnel (% of total labor force)Public SectorDefense & arms trade0.41
MS.MIL.XPND.CNMilitary expenditure (current LCU)Public SectorDefense & arms trade0.281666667
MS.MIL.XPND.GD.ZSMilitary expenditure (% of GDP)Public SectorDefense & arms trade0.39
MS.MIL.XPND.ZSMilitary expenditure (% of central government expenditure)Public SectorDefense & arms trade0.45
MS.MIL.XPRT.KDArms exports (SIPRI trend indicator values)Public SectorDefense & arms trade0.358181818
NE.CON.GOVT.CDGeneral government final consumption expenditure (current US$)Economic Policy & DebtNational accounts0.5925
NE.CON.GOVT.CNGeneral government final consumption expenditure (current LCU)Economic Policy & DebtNational accounts0.3825
NE.CON.GOVT.KDGeneral government final consumption expenditure (constant 2010 US$)Economic Policy & DebtNational accounts0.580833333
NE.CON.GOVT.KD.ZGGeneral government final consumption expenditure (annual % growth)Economic Policy & DebtNational accounts0.330833333
NE.CON.GOVT.KNGeneral government final consumption expenditure (constant LCU)Economic Policy & DebtNational accounts0.381666667
NE.CON.GOVT.ZSGeneral government final consumption expenditure (% of GDP)Economic Policy & DebtNational accounts0.4475
NE.CON.PETC.CDHousehold final consumption expenditure, etc. (current US$)Economic Policy & DebtNational accounts0.0
NE.CON.PETC.CNHousehold final consumption expenditure, etc. (current LCU)Economic Policy & DebtNational accounts0.0
NE.CON.PETC.KDHousehold final consumption expenditure, etc. (constant 2010 US$)Economic Policy & DebtNational accounts0.0
NE.CON.PETC.KD.ZGHousehold final consumption expenditure, etc. (annual % growth)Economic Policy & DebtNational accounts0.0
NE.CON.PETC.KNHousehold final consumption expenditure, etc. (constant LCU)Economic Policy & DebtNational accounts0.0
NE.CON.PETC.ZSHousehold final consumption expenditure, etc. (% of GDP)Economic Policy & DebtNational accounts0.0
NE.CON.PRVT.CDHousehold final consumption expenditure (current US$)Economic Policy & DebtNational accounts0.5066666670000001
NE.CON.PRVT.CNHousehold final consumption expenditure (current LCU)Economic Policy & DebtNational accounts0.40333333299999996
NE.CON.PRVT.KDHousehold final consumption expenditure (constant 2010 US$)Economic Policy & DebtNational accounts0.47583333299999997
NE.CON.PRVT.KD.ZGHousehold final consumption expenditure (annual % growth)Economic Policy & DebtNational accounts0.3325
NE.CON.PRVT.KNHousehold final consumption expenditure (constant LCU)Economic Policy & DebtNational accounts0.378333333
NE.CON.PRVT.PC.KDHousehold final consumption expenditure per capita (constant 2010 US$)Economic Policy & DebtNational accounts0.5625
NE.CON.PRVT.PC.KD.ZGHousehold final consumption expenditure per capita growth (annual %)Economic Policy & DebtNational accounts0.335
NE.CON.PRVT.PP.CDHousehold final consumption expenditure, PPP (current international $)Economic Policy & DebtPurchasing power parity0.520833333
NE.CON.PRVT.PP.KDHousehold final consumption expenditure, PPP (constant 2011 international $)Economic Policy & DebtPurchasing power parity0.425
NE.CON.TETC.CDFinal consumption expenditure, etc. (current US$)Economic Policy & DebtNational accounts0.0
NE.CON.TETC.CNFinal consumption expenditure, etc. (current LCU)Economic Policy & DebtNational accounts0.0
NE.CON.TETC.KDFinal consumption expenditure, etc. (constant 2010 US$)Economic Policy & DebtNational accounts0.0
NE.CON.TETC.KD.ZGFinal consumption expenditure, etc. (annual % growth)Economic Policy & DebtNational accounts0.0
NE.CON.TETC.KNFinal consumption expenditure, etc. (constant LCU)Economic Policy & DebtNational accounts0.0
NE.CON.TETC.ZSFinal consumption expenditure, etc. (% of GDP)Economic Policy & DebtNational accounts0.0
NE.CON.TOTL.CDFinal consumption expenditure (current US$)Economic Policy & DebtNational accounts0.539166667
NE.CON.TOTL.CNFinal consumption expenditure (current LCU)Economic Policy & DebtNational accounts0.394166667
NE.CON.TOTL.KDFinal consumption expenditure (constant 2010 US$)Economic Policy & DebtNational accounts0.504166667
NE.CON.TOTL.KNFinal consumption expenditure (constant LCU)Economic Policy & DebtNational accounts0.375
NE.DAB.DEFL.ZSGross national expenditure deflator (base year varies by country)Economic Policy & DebtNational accounts0.47833333299999997
NE.DAB.TOTL.CDGross national expenditure (current US$)Economic Policy & DebtNational accounts0.525833333
NE.DAB.TOTL.CNGross national expenditure (current LCU)Economic Policy & DebtNational accounts0.4225
NE.DAB.TOTL.KDGross national expenditure (constant 2010 US$)Economic Policy & DebtNational accounts0.5066666670000001
NE.DAB.TOTL.KNGross national expenditure (constant LCU)Economic Policy & DebtNational accounts0.3825
NE.DAB.TOTL.ZSGross national expenditure (% of GDP)Economic Policy & DebtNational accounts0.596666667
NE.EXP.GNFS.CDExports of goods and services (current US$)Economic Policy & DebtNational accounts0.610833333
NE.EXP.GNFS.CNExports of goods and services (current LCU)Economic Policy & DebtNational accounts0.46666666700000003
NE.EXP.GNFS.KDExports of goods and services (constant 2010 US$)Economic Policy & DebtNational accounts0.605
NE.EXP.GNFS.KD.ZGExports of goods and services (annual % growth)Economic Policy & DebtNational accounts0.40416666700000003
NE.EXP.GNFS.KNExports of goods and services (constant LCU)Economic Policy & DebtNational accounts0.495833333
NE.EXP.GNFS.ZSExports of goods and services (% of GDP)Economic Policy & DebtNational accounts0.5508333329999999
NE.GDI.FPRV.CNGross fixed capital formation, private sector (current LCU)Economic Policy & DebtNational accounts0.145
NE.GDI.FPRV.ZSGross fixed capital formation, private sector (% of GDP)Economic Policy & DebtNational accounts0.19899999999999998
NE.GDI.FTOT.CDGross fixed capital formation (current US$)Economic Policy & DebtNational accounts0.5575
NE.GDI.FTOT.CNGross fixed capital formation (current LCU)Economic Policy & DebtNational accounts0.376666667
NE.GDI.FTOT.KDGross fixed capital formation (constant 2010 US$)Economic Policy & DebtNational accounts0.513333333
NE.GDI.FTOT.KD.ZGGross fixed capital formation (annual % growth)Economic Policy & DebtNational accounts0.32
NE.GDI.FTOT.KNGross fixed capital formation (constant LCU)Economic Policy & DebtNational accounts0.3725
NE.GDI.FTOT.ZSGross fixed capital formation (% of GDP)Economic Policy & DebtNational accounts0.433333333
NE.GDI.STKB.CDChanges in inventories (current US$)Economic Policy & DebtNational accounts0.48166666700000005
NE.GDI.STKB.CNChanges in inventories (current LCU)Economic Policy & DebtNational accounts0.375833333
NE.GDI.STKB.KNChanges in inventories (constant LCU)Economic Policy & DebtNational accounts0.16699999999999998
NE.GDI.TOTL.CDGross capital formation (current US$)Economic Policy & DebtNational accounts0.54
NE.GDI.TOTL.CNGross capital formation (current LCU)Economic Policy & DebtNational accounts0.39833333299999996
NE.GDI.TOTL.KDGross capital formation (constant 2010 US$)Economic Policy & DebtNational accounts0.548333333
NE.GDI.TOTL.KD.ZGGross capital formation (annual % growth)Economic Policy & DebtNational accounts0.290833333
NE.GDI.TOTL.KNGross capital formation (constant LCU)Economic Policy & DebtNational accounts0.375
NE.GDI.TOTL.ZSGross capital formation (% of GDP)Economic Policy & DebtNational accounts0.40583333299999996
NE.IMP.GNFS.CDImports of goods and services (current US$)Economic Policy & DebtNational accounts0.5775
NE.IMP.GNFS.CNImports of goods and services (current LCU)Economic Policy & DebtNational accounts0.42416666700000005
NE.IMP.GNFS.KDImports of goods and services (constant 2010 US$)Economic Policy & DebtNational accounts0.586666667
NE.IMP.GNFS.KD.ZGImports of goods and services (annual % growth)Economic Policy & DebtNational accounts0.3875
NE.IMP.GNFS.KNImports of goods and services (constant LCU)Economic Policy & DebtNational accounts0.47833333299999997
NE.IMP.GNFS.ZSImports of goods and services (% of GDP)Economic Policy & DebtNational accounts0.380833333
NE.RSB.GNFS.CDExternal balance on goods and services (current US$)Economic Policy & DebtNational accounts0.683333333
NE.RSB.GNFS.CNExternal balance on goods and services (current LCU)Economic Policy & DebtNational accounts0.6625
NE.RSB.GNFS.KNExternal balance on goods and services (constant LCU)Economic Policy & DebtNational accounts0.601666667
NE.RSB.GNFS.ZSExternal balance on goods and services (% of GDP)Economic Policy & DebtNational accounts0.5525
NE.TRD.GNFS.ZSTrade (% of GDP)Economic Policy & DebtNational accounts0.5216666670000001
NV.AGR.TOTL.CDAgriculture, value added (current US$)Economic Policy & DebtNational accounts0.375833333
NV.AGR.TOTL.CNAgriculture, value added (current LCU)Economic Policy & DebtNational accounts0.3925
NV.AGR.TOTL.KDAgriculture, value added (constant 2010 US$)Economic Policy & DebtNational accounts0.33916666700000003
NV.AGR.TOTL.KD.ZGAgriculture, value added (annual % growth)Economic Policy & DebtNational accounts0.3725
NV.AGR.TOTL.KNAgriculture, value added (constant LCU)Economic Policy & DebtNational accounts0.369166667
NV.AGR.TOTL.ZSAgriculture, value added (% of GDP)Economic Policy & DebtNational accounts0.519166667
NV.IND.MANF.CDManufacturing, value added (current US$)Economic Policy & DebtNational accounts0.496666667
NV.IND.MANF.CNManufacturing, value added (current LCU)Economic Policy & DebtNational accounts0.40833333299999997
NV.IND.MANF.KDManufacturing, value added (constant 2010 US$)Economic Policy & DebtNational accounts0.573333333
NV.IND.MANF.KD.ZGManufacturing, value added (annual % growth)Economic Policy & DebtNational accounts0.328333333
NV.IND.MANF.KNManufacturing, value added (constant LCU)Economic Policy & DebtNational accounts0.434166667
NV.IND.MANF.ZSManufacturing, value added (% of GDP)Economic Policy & DebtNational accounts0.44
NV.IND.TOTL.CDIndustry, value added (current US$)Economic Policy & DebtNational accounts0.518333333
NV.IND.TOTL.CNIndustry, value added (current LCU)Economic Policy & DebtNational accounts0.40666666700000004
NV.IND.TOTL.KDIndustry, value added (constant 2010 US$)Economic Policy & DebtNational accounts0.505833333
NV.IND.TOTL.KD.ZGIndustry, value added (annual % growth)Economic Policy & DebtNational accounts0.325833333
NV.IND.TOTL.KNIndustry, value added (constant LCU)Economic Policy & DebtNational accounts0.373333333
NV.IND.TOTL.ZSIndustry, value added (% of GDP)Economic Policy & DebtNational accounts0.3875
NV.MNF.CHEM.ZS.UNChemicals (% of value added in manufacturing)Economic Policy & DebtNational accounts0.36416666700000005
NV.MNF.FBTO.ZS.UNFood, beverages and tobacco (% of value added in manufacturing)Economic Policy & DebtNational accounts0.590833333
NV.MNF.MTRN.ZS.UNMachinery and transport equipment (% of value added in manufacturing)Economic Policy & DebtNational accounts0.5016666670000001
NV.MNF.OTHR.ZS.UNOther manufacturing (% of value added in manufacturing)Economic Policy & DebtNational accounts0.38833333299999995
NV.MNF.TXTL.ZS.UNTextiles and clothing (% of value added in manufacturing)Economic Policy & DebtNational accounts0.4625
NV.SRV.TETC.CDServices, etc., value added (current US$)Economic Policy & DebtNational accounts0.0
NV.SRV.TETC.CNServices, etc., value added (current LCU)Economic Policy & DebtNational accounts0.0
NV.SRV.TETC.KDServices, etc., value added (constant 2010 US$)Economic Policy & DebtNational accounts0.0
NV.SRV.TETC.KD.ZGServices, etc., value added (annual % growth)Economic Policy & DebtNational accounts0.0
NV.SRV.TETC.KNServices, etc., value added (constant LCU)Economic Policy & DebtNational accounts0.0
NV.SRV.TETC.ZSServices, etc., value added (% of GDP)Economic Policy & DebtNational accounts0.0
NY.ADJ.AEDU.CDAdjusted savings: education expenditure (current US$)Economic Policy & DebtNational accounts0.585833333
NY.ADJ.AEDU.GN.ZSAdjusted savings: education expenditure (% of GNI)Economic Policy & DebtNational accounts0.45583333299999995
NY.ADJ.DCO2.CDAdjusted savings: carbon dioxide damage (current US$)Economic Policy & DebtNational accounts0.563333333
NY.ADJ.DCO2.GN.ZSAdjusted savings: carbon dioxide damage (% of GNI)Economic Policy & DebtNational accounts0.38583333299999995
NY.ADJ.DFOR.CDAdjusted savings: net forest depletion (current US$)Economic Policy & DebtNational accounts0.3275
NY.ADJ.DFOR.GN.ZSAdjusted savings: net forest depletion (% of GNI)Economic Policy & DebtNational accounts0.3675
NY.ADJ.DKAP.CDAdjusted savings: consumption of fixed capital (current US$)Economic Policy & DebtNational accounts0.615833333
NY.ADJ.DKAP.GN.ZSAdjusted savings: consumption of fixed capital (% of GNI)Economic Policy & DebtNational accounts0.4175
NY.ADJ.DMIN.CDAdjusted savings: mineral depletion (current US$)Economic Policy & DebtNational accounts0.3225
NY.ADJ.DMIN.GN.ZSAdjusted savings: mineral depletion (% of GNI)Economic Policy & DebtNational accounts0.365
NY.ADJ.DNGY.CDAdjusted savings: energy depletion (current US$)Economic Policy & DebtNational accounts0.47583333299999997
NY.ADJ.DNGY.GN.ZSAdjusted savings: energy depletion (% of GNI)Economic Policy & DebtNational accounts0.381666667
NY.ADJ.DPEM.CDAdjusted savings: particulate emission damage (current US$)Economic Policy & DebtNational accounts0.378333333
NY.ADJ.DPEM.GN.ZSAdjusted savings: particulate emission damage (% of GNI)Economic Policy & DebtNational accounts0.563333333
NY.ADJ.DRES.GN.ZSAdjusted savings: natural resources depletion (% of GNI)Economic Policy & DebtNational accounts0.3925
NY.ADJ.ICTR.GN.ZSAdjusted savings: gross savings (% of GNI)Economic Policy & DebtNational accounts0.615
NY.ADJ.NNAT.CDAdjusted savings: net national savings (current US$)Economic Policy & DebtNational accounts0.529166667
NY.ADJ.NNAT.GN.ZSAdjusted savings: net national savings (% of GNI)Economic Policy & DebtNational accounts0.523333333
NY.ADJ.NNTY.CDAdjusted net national income (current US$)Economic Policy & DebtNational accounts0.525833333
NY.ADJ.NNTY.KDAdjusted net national income (constant 2010 US$)Economic Policy & DebtNational accounts0.535833333
NY.ADJ.NNTY.KD.ZGAdjusted net national income (annual % growth)Economic Policy & DebtNational accounts0.3125
NY.ADJ.NNTY.PC.CDAdjusted net national income per capita (current US$)Economic Policy & DebtNational accounts0.5625
NY.ADJ.NNTY.PC.KDAdjusted net national income per capita (constant 2010 US$)Economic Policy & DebtNational accounts0.533333333
NY.ADJ.NNTY.PC.KD.ZGAdjusted net national income per capita (annual % growth)Economic Policy & DebtNational accounts0.305
NY.ADJ.SVNG.CDAdjusted net savings, including particulate emission damage (current US$)Economic Policy & DebtNational accounts0.4975
NY.ADJ.SVNG.GN.ZSAdjusted net savings, including particulate emission damage (% of GNI)Economic Policy & DebtNational accounts0.4775
NY.ADJ.SVNX.CDAdjusted net savings, excluding particulate emission damage (current US$)Economic Policy & DebtNational accounts0.530833333
NY.ADJ.SVNX.GN.ZSAdjusted net savings, excluding particulate emission damage (% of GNI)Economic Policy & DebtNational accounts0.47916666700000005
NY.EXP.CAPM.KNExports as a capacity to import (constant LCU)Economic Policy & DebtNational accounts0.47166666700000004
NY.GDP.COAL.RT.ZSCoal rents (% of GDP)EnvironmentNatural resources contribution to GDP0.334166667
NY.GDP.DEFL.KD.ZGInflation, GDP deflator (annual %)Financial SectorExchange rates & prices0.384166667
NY.GDP.DEFL.KD.ZG.ADInflation, GDP deflator: linked series (annual %)Financial SectorExchange rates & prices0.39
NY.GDP.DEFL.ZSGDP deflator (base year varies by country)Financial SectorExchange rates & prices0.4675
NY.GDP.DEFL.ZS.ADGDP deflator: linked series (base year varies by country)Financial SectorExchange rates & prices0.47166666700000004
NY.GDP.DISC.CNDiscrepancy in expenditure estimate of GDP (current LCU)Economic Policy & DebtNational accounts0.40083333299999996
NY.GDP.DISC.KNDiscrepancy in expenditure estimate of GDP (constant LCU)Economic Policy & DebtNational accounts0.2775
NY.GDP.FCST.CDGross value added at factor cost (current US$)Economic Policy & DebtNational accounts0.555
NY.GDP.FCST.CNGross value added at factor cost (current LCU)Economic Policy & DebtNational accounts0.44
NY.GDP.FCST.KDGross value added at factor cost (constant 2010 US$)Economic Policy & DebtNational accounts0.59
NY.GDP.FCST.KNGross value added at factor cost (constant LCU)Economic Policy & DebtNational accounts0.45833333299999995
NY.GDP.FRST.RT.ZSForest rents (% of GDP)EnvironmentNatural resources contribution to GDP0.4925
NY.GDP.MINR.RT.ZSMineral rents (% of GDP)EnvironmentNatural resources contribution to GDP0.41083333299999997
NY.GDP.MKTP.CDGDP (current US$)Economic Policy & DebtNational accounts0.5558333329999999
NY.GDP.MKTP.CNGDP (current LCU)Economic Policy & DebtNational accounts0.355833333
NY.GDP.MKTP.CN.ADGDP at market prices: linked series (current LCU)Economic Policy & DebtNational accounts0.39666666700000003
NY.GDP.MKTP.KDGDP (constant 2010 US$)Economic Policy & DebtNational accounts0.6266666670000001
NY.GDP.MKTP.KD.ZGGDP growth (annual %)Economic Policy & DebtNational accounts0.3325
NY.GDP.MKTP.KNGDP (constant LCU)Economic Policy & DebtNational accounts0.46833333299999996
NY.GDP.MKTP.PP.CDGDP, PPP (current international $)Economic Policy & DebtPurchasing power parity0.5708333329999999
NY.GDP.MKTP.PP.KDGDP, PPP (constant 2011 international $)Economic Policy & DebtPurchasing power parity0.5458333329999999
NY.GDP.NGAS.RT.ZSNatural gas rents (% of GDP)EnvironmentNatural resources contribution to GDP0.438333333
NY.GDP.PCAP.CDGDP per capita (current US$)Economic Policy & DebtNational accounts0.6125
NY.GDP.PCAP.CNGDP per capita (current LCU)Economic Policy & DebtNational accounts0.45583333299999995
NY.GDP.PCAP.KDGDP per capita (constant 2010 US$)Economic Policy & DebtNational accounts0.6125
NY.GDP.PCAP.KD.ZGGDP per capita growth (annual %)Economic Policy & DebtNational accounts0.314166667
NY.GDP.PCAP.KNGDP per capita (constant LCU)Economic Policy & DebtNational accounts0.443333333
NY.GDP.PCAP.PP.CDGDP per capita, PPP (current international $)Economic Policy & DebtPurchasing power parity0.6925
NY.GDP.PCAP.PP.KDGDP per capita, PPP (constant 2011 international $)Economic Policy & DebtPurchasing power parity0.645
NY.GDP.PETR.RT.ZSOil rents (% of GDP)EnvironmentNatural resources contribution to GDP0.423333333
NY.GDP.TOTL.RT.ZSTotal natural resources rents (% of GDP)EnvironmentNatural resources contribution to GDP0.441666667
NY.GDS.TOTL.CDGross domestic savings (current US$)Economic Policy & DebtNational accounts0.6075
NY.GDS.TOTL.CNGross domestic savings (current LCU)Economic Policy & DebtNational accounts0.45833333299999995
NY.GDS.TOTL.ZSGross domestic savings (% of GDP)Economic Policy & DebtNational accounts0.62
NY.GDY.TOTL.KNGross domestic income (constant LCU)Economic Policy & DebtNational accounts0.4025
NY.GNP.ATLS.CDGNI, Atlas method (current US$)Economic Policy & DebtNational accounts0.5508333329999999
NY.GNP.MKTP.CDGNI (current US$)Economic Policy & DebtNational accounts0.52
NY.GNP.MKTP.CNGNI (current LCU)Economic Policy & DebtNational accounts0.368333333
NY.GNP.MKTP.KDGNI (constant 2010 US$)Economic Policy & DebtNational accounts0.5525
NY.GNP.MKTP.KD.ZGGNI growth (annual %)Economic Policy & DebtNational accounts0.35416666700000005
NY.GNP.MKTP.KNGNI (constant LCU)Economic Policy & DebtNational accounts0.386666667
NY.GNP.MKTP.PP.CDGNI, PPP (current international $)Economic Policy & DebtPurchasing power parity0.5725
NY.GNP.MKTP.PP.KDGNI, PPP (constant 2011 international $)Economic Policy & DebtPurchasing power parity0.500833333
NY.GNP.PCAP.CDGNI per capita, Atlas method (current US$)Economic Policy & DebtNational accounts0.625
NY.GNP.PCAP.CNGNI per capita (current LCU)Economic Policy & DebtNational accounts0.46083333299999996
NY.GNP.PCAP.KDGNI per capita (constant 2010 US$)Economic Policy & DebtNational accounts0.6175
NY.GNP.PCAP.KD.ZGGNI per capita growth (annual %)Economic Policy & DebtNational accounts0.3225
NY.GNP.PCAP.KNGNI per capita (constant LCU)Economic Policy & DebtNational accounts0.4175
NY.GNP.PCAP.PP.CDGNI per capita, PPP (current international $)Economic Policy & DebtPurchasing power parity0.6875
NY.GNP.PCAP.PP.KDGNI per capita, PPP (constant 2011 international $)Economic Policy & DebtPurchasing power parity0.6233333329999999
NY.GNS.ICTR.CDGross savings (current US$)Economic Policy & DebtNational accounts0.583333333
NY.GNS.ICTR.CNGross savings (current LCU)Economic Policy & DebtNational accounts0.39833333299999996
NY.GNS.ICTR.GN.ZSGross savings (% of GNI)Economic Policy & DebtNational accounts0.56
NY.GNS.ICTR.ZSGross savings (% of GDP)Economic Policy & DebtNational accounts0.483333333
NY.GSR.NFCY.CDNet income from abroad (current US$)Economic Policy & DebtNational accounts0.47583333299999997
NY.GSR.NFCY.CNNet income from abroad (current LCU)Economic Policy & DebtNational accounts0.360833333
NY.GSR.NFCY.KNNet income from abroad (constant LCU)Economic Policy & DebtNational accounts0.0
NY.TAX.NIND.CDNet taxes on products (current US$)Economic Policy & DebtNational accounts0.47583333299999997
NY.TAX.NIND.CNNet taxes on products (current LCU)Economic Policy & DebtNational accounts0.3625
NY.TAX.NIND.KNNet taxes on products (constant LCU)Economic Policy & DebtNational accounts0.4025
NY.TRF.NCTR.CDNet current transfers from abroad (current US$)Economic Policy & DebtNational accounts0.58
NY.TRF.NCTR.CNNet current transfers from abroad (current LCU)Economic Policy & DebtNational accounts0.573333333
NY.TRF.NCTR.KNNet current transfers from abroad (constant LCU)Economic Policy & DebtNational accounts0.40727272700000006
NY.TTF.GNFS.KNTerms of trade adjustment (constant LCU)Economic Policy & DebtNational accounts0.308333333
PA.NUS.ATLSDEC alternative conversion factor (LCU per US$)Financial SectorExchange rates & prices0.483333333
PA.NUS.FCRFOfficial exchange rate (LCU per US$, period average)Financial SectorExchange rates & prices0.371666667
PA.NUS.PPPPPP conversion factor, GDP (LCU per international $)Economic Policy & DebtPurchasing power parity0.51
PA.NUS.PPP.052005 PPP conversion factor, GDP (LCU per international $)Economic Policy & DebtPurchasing power parity0.5125
PA.NUS.PPPC.RFPrice level ratio of PPP conversion factor (GDP) to market exchange rateEconomic Policy & DebtPurchasing power parity0.505833333
PA.NUS.PRVT.PPPPP conversion factor, private consumption (LCU per international $)Economic Policy & DebtPurchasing power parity0.5841666670000001
PA.NUS.PRVT.PP.052005 PPP conversion factor, private consumption (LCU per international $)Economic Policy & DebtPurchasing power parity0.55
per_allsp.adq_pop_totAdequacy of social protection and labor programs (% of total welfare of beneficiary households)Social Protection & LaborPerformance0.22375
per_allsp.ben_q1_totBenefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits)Social Protection & LaborPerformance0.22
per_allsp.cov_pop_totCoverage of social protection and labor programs (% of population)Social Protection & LaborPerformance0.1925
per_lm_alllm.adq_pop_totAdequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)Social Protection & LaborPerformance0.13
per_lm_alllm.ben_q1_totBenefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)Social Protection & LaborPerformance0.18625
per_lm_alllm.cov_pop_totCoverage of unemployment benefits and ALMP (% of population)Social Protection & LaborPerformance0.175
per_lm_alllm.cov_q1_totCoverage of unemployment benefits and ALMP in poorest quintile (% of population)Social Protection & LaborPerformance0.17375
per_lm_alllm.cov_q2_totCoverage of unemployment benefits and ALMP in 2nd quintile (% of population)Social Protection & LaborPerformance0.1425
per_lm_alllm.cov_q3_totCoverage of unemployment benefits and ALMP in 3rd quintile (% of population)Social Protection & LaborPerformance0.12375
per_lm_alllm.cov_q4_totCoverage of unemployment benefits and ALMP in 4th quintile (% of population)Social Protection & LaborPerformance0.16625
per_lm_alllm.cov_q5_totCoverage of unemployment benefits and ALMP in richest quintile (% of population)Social Protection & LaborPerformance0.16125
per_sa_allsa.adq_pop_totAdequacy of social safety net programs (% of total welfare of beneficiary households)Social Protection & LaborPerformance0.16375
per_sa_allsa.ben_q1_totBenefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)Social Protection & LaborPerformance0.18875
per_sa_allsa.cov_pop_totCoverage of social safety net programs (% of population)Social Protection & LaborPerformance0.18625
per_sa_allsa.cov_q1_totCoverage of social safety net programs in poorest quintile (% of population)Social Protection & LaborPerformance0.20625
per_sa_allsa.cov_q2_totCoverage of social safety net programs in 2nd quintile (% of population)Social Protection & LaborPerformance0.15125
per_sa_allsa.cov_q3_totCoverage of social safety net programs in 3rd quintile (% of population)Social Protection & LaborPerformance0.1825
per_sa_allsa.cov_q4_totCoverage of social safety net programs in 4th quintile (% of population)Social Protection & LaborPerformance0.17875
per_sa_allsa.cov_q5_totCoverage of social safety net programs in richest quintile (% of population)Social Protection & LaborPerformance0.20625
per_si_allsi.adq_pop_totAdequacy of social insurance programs (% of total welfare of beneficiary households)Social Protection & LaborPerformance0.26125
per_si_allsi.ben_q1_totBenefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits)Social Protection & LaborPerformance0.25875
per_si_allsi.cov_pop_totCoverage of social insurance programs (% of population)Social Protection & LaborPerformance0.29125
per_si_allsi.cov_q1_totCoverage of social insurance programs in poorest quintile (% of population)Social Protection & LaborPerformance0.2675
per_si_allsi.cov_q2_totCoverage of social insurance programs in 2nd quintile (% of population)Social Protection & LaborPerformance0.28875
per_si_allsi.cov_q3_totCoverage of social insurance programs in 3rd quintile (% of population)Social Protection & LaborPerformance0.26625
per_si_allsi.cov_q4_totCoverage of social insurance programs in 4th quintile (% of population)Social Protection & LaborPerformance0.25125
per_si_allsi.cov_q5_totCoverage of social insurance programs in richest quintile (% of population)Social Protection & LaborPerformance0.28375
PX.REX.REERReal effective exchange rate index (2010 = 100)Financial SectorExchange rates & prices0.3575
SE.ADT.1524.LT.FE.ZSLiteracy rate, youth female (% of females ages 15-24)EducationOutcomes0.317777778
SE.ADT.1524.LT.FM.ZSLiteracy rate, youth (ages 15-24), gender parity index (GPI)EducationOutcomes0.245555556
SE.ADT.1524.LT.MA.ZSLiteracy rate, youth male (% of males ages 15-24)EducationOutcomes0.297777778
SE.ADT.1524.LT.ZSLiteracy rate, youth total (% of people ages 15-24)EducationOutcomes0.308888889
SE.ADT.LITR.FE.ZSLiteracy rate, adult female (% of females ages 15 and above)EducationOutcomes0.334444444
SE.ADT.LITR.MA.ZSLiteracy rate, adult male (% of males ages 15 and above)EducationOutcomes0.325555556
SE.ADT.LITR.ZSLiteracy rate, adult total (% of people ages 15 and above)EducationOutcomes0.35333333299999997
SE.COM.DURSCompulsory education, duration (years)EducationOutcomes0.255
SE.ENR.PRIM.FM.ZSSchool enrollment, primary (gross), gender parity index (GPI)EducationParticipation0.494166667
SE.ENR.PRSC.FM.ZSSchool enrollment, primary and secondary (gross), gender parity index (GPI)EducationParticipation0.435
SE.ENR.SECO.FM.ZSSchool enrollment, secondary (gross), gender parity index (GPI)EducationParticipation0.430833333
SE.ENR.TERT.FM.ZSSchool enrollment, tertiary (gross), gender parity index (GPI)EducationParticipation0.395
SE.PRE.DURSPreprimary education, duration (years)EducationInputs0.230833333
SE.PRE.ENRL.TC.ZSPupil-teacher ratio, preprimaryEducationInputs0.41666666700000005
SE.PRE.ENRRSchool enrollment, preprimary (% gross)EducationParticipation0.443333333
SE.PRE.ENRR.FESchool enrollment, preprimary, female (% gross)EducationParticipation0.46166666700000003
SE.PRE.ENRR.MASchool enrollment, preprimary, male (% gross)EducationParticipation0.435
SE.PRE.TCAQ.FE.ZSTrained teachers in preprimary education, female (% of female teachers)EducationInputs0.193333333
SE.PRE.TCAQ.MA.ZSTrained teachers in preprimary education, male (% of male teachers)EducationInputs0.164444444
SE.PRE.TCAQ.ZSTrained teachers in preprimary education (% of total teachers)EducationInputs0.196666667
SE.PRM.AGESPrimary school starting age (years)EducationInputs0.0675
SE.PRM.CMPT.FE.ZSPrimary completion rate, female (% of relevant age group)EducationOutcomes0.487272727
SE.PRM.CMPT.MA.ZSPrimary completion rate, male (% of relevant age group)EducationOutcomes0.45363636399999996
SE.PRM.CMPT.ZSPrimary completion rate, total (% of relevant age group)EducationOutcomes0.47333333299999997
SE.PRM.CUAT.FE.ZSEducational attainment, at least completed primary, population 25+ years, female (%) (cumulative)EducationOutcomes0.512
SE.PRM.CUAT.MA.ZSEducational attainment, at least completed primary, population 25+ years, male (%) (cumulative)EducationOutcomes0.478
SE.PRM.CUAT.ZSEducational attainment, at least completed primary, population 25+ years, total (%) (cumulative)EducationOutcomes0.508
SE.PRM.DURSPrimary education, duration (years)EducationOutcomes0.250833333
SE.PRM.ENRLPrimary education, pupilsEducationParticipation0.41916666700000005
SE.PRM.ENRL.FE.ZSPrimary education, pupils (% female)EducationParticipation0.41166666700000004
SE.PRM.ENRL.TC.ZSPupil-teacher ratio, primaryEducationInputs0.46416666700000003
SE.PRM.ENRRSchool enrollment, primary (% gross)EducationParticipation0.45916666700000003
SE.PRM.ENRR.FESchool enrollment, primary, female (% gross)EducationParticipation0.431666667
SE.PRM.ENRR.MASchool enrollment, primary, male (% gross)EducationParticipation0.42666666700000005
SE.PRM.GINT.FE.ZSGross intake ratio in first grade of primary education, female (% of relevant age group)EducationEfficiency0.4475
SE.PRM.GINT.MA.ZSGross intake ratio in first grade of primary education, male (% of relevant age group)EducationEfficiency0.444166667
SE.PRM.GINT.ZSGross intake ratio in first grade of primary education, total (% of relevant age group)EducationEfficiency0.444166667
SE.PRM.NENRSchool enrollment, primary (% net)EducationParticipation0.40666666700000004
SE.PRM.NENR.FESchool enrollment, primary, female (% net)EducationParticipation0.517
SE.PRM.NENR.MASchool enrollment, primary, male (% net)EducationParticipation0.489
SE.PRM.NINT.FE.ZSNet intake rate in grade 1, female (% of official school-age population)EducationEfficiency0.38222222200000006
SE.PRM.NINT.MA.ZSNet intake rate in grade 1, male (% of official school-age population)EducationEfficiency0.34555555600000004
SE.PRM.NINT.ZSNet intake rate in grade 1 (% of official school-age population)EducationEfficiency0.37222222200000005
SE.PRM.OENR.FE.ZSOver-age students, primary, female (% of female enrollment)EducationEfficiency0.381666667
SE.PRM.OENR.MA.ZSOver-age students, primary, male (% of male enrollment)EducationEfficiency0.46
SE.PRM.OENR.ZSOver-age students, primary (% of enrollment)EducationEfficiency0.394166667
SE.PRM.PRIV.ZSSchool enrollment, primary, private (% of total primary)EducationParticipation0.41083333299999997
SE.PRM.PRS5.FE.ZSPersistence to grade 5, female (% of cohort)EducationEfficiency0.509090909
SE.PRM.PRS5.MA.ZSPersistence to grade 5, male (% of cohort)EducationEfficiency0.47272727299999995
SE.PRM.PRS5.ZSPersistence to grade 5, total (% of cohort)EducationEfficiency0.53
SE.PRM.PRSL.FE.ZSPersistence to last grade of primary, female (% of cohort)EducationEfficiency0.48
SE.PRM.PRSL.MA.ZSPersistence to last grade of primary, male (% of cohort)EducationEfficiency0.473636364
SE.PRM.PRSL.ZSPersistence to last grade of primary, total (% of cohort)EducationEfficiency0.512727273
SE.PRM.REPT.FE.ZSRepeaters, primary, female (% of female enrollment)EducationEfficiency0.48272727299999996
SE.PRM.REPT.MA.ZSRepeaters, primary, male (% of male enrollment)EducationEfficiency0.443636364
SE.PRM.REPT.ZSRepeaters, primary, total (% of total enrollment)EducationEfficiency0.455
SE.PRM.TCAQ.FE.ZSTrained teachers in primary education, female (% of female teachers)EducationInputs0.182222222
SE.PRM.TCAQ.MA.ZSTrained teachers in primary education, male (% of male teachers)EducationInputs0.152222222
SE.PRM.TCAQ.ZSTrained teachers in primary education (% of total teachers)EducationInputs0.192222222
SE.PRM.TCHRPrimary education, teachersEducationInputs0.37
SE.PRM.TCHR.FE.ZSPrimary education, teachers (% female)EducationInputs0.39333333299999995
SE.PRM.TENRAdjusted net enrollment rate, primary (% of primary school age children)EducationParticipation0.405
SE.PRM.TENR.FEAdjusted net enrollment rate, primary, female (% of primary school age children)EducationParticipation0.532
SE.PRM.TENR.MAAdjusted net enrollment rate, primary, male (% of primary school age children)EducationParticipation0.45799999999999996
SE.PRM.UNERChildren out of school, primaryEducationParticipation0.391666667
SE.PRM.UNER.FEChildren out of school, primary, femaleEducationParticipation0.518
SE.PRM.UNER.FE.ZSChildren out of school, female (% of female primary school age)EducationParticipation0.473
SE.PRM.UNER.MAChildren out of school, primary, maleEducationParticipation0.431
SE.PRM.UNER.MA.ZSChildren out of school, male (% of male primary school age)EducationParticipation0.45299999999999996
SE.PRM.UNER.ZSChildren out of school (% of primary school age)EducationParticipation0.42166666700000005
SE.SEC.AGESLower secondary school starting age (years)EducationInputs0.1975
SE.SEC.CMPT.LO.FE.ZSLower secondary completion rate, female (% of relevant age group)EducationOutcomes0.497272727
SE.SEC.CMPT.LO.MA.ZSLower secondary completion rate, male (% of relevant age group)EducationOutcomes0.486363636
SE.SEC.CMPT.LO.ZSLower secondary completion rate, total (% of relevant age group)EducationOutcomes0.46818181799999997
SE.SEC.CUAT.LO.FE.ZSEducational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)EducationOutcomes0.466
SE.SEC.CUAT.LO.MA.ZSEducational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)EducationOutcomes0.449
SE.SEC.CUAT.LO.ZSEducational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)EducationOutcomes0.45799999999999996
SE.SEC.CUAT.PO.FE.ZSEducational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)EducationOutcomes0.521
SE.SEC.CUAT.PO.MA.ZSEducational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)EducationOutcomes0.48
SE.SEC.CUAT.PO.ZSEducational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)EducationOutcomes0.532
SE.SEC.CUAT.UP.FE.ZSEducational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)EducationOutcomes0.546
SE.SEC.CUAT.UP.MA.ZSEducational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)EducationOutcomes0.475
SE.SEC.CUAT.UP.ZSEducational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)EducationOutcomes0.49
SE.SEC.DURSSecondary education, duration (years)EducationOutcomes0.38333333299999994
SE.SEC.ENRLSecondary education, pupilsEducationParticipation0.40583333299999996
SE.SEC.ENRL.FE.ZSSecondary education, pupils (% female)EducationParticipation0.4125
SE.SEC.ENRL.GCSecondary education, general pupilsEducationParticipation0.36166666700000005
SE.SEC.ENRL.GC.FE.ZSSecondary education, general pupils (% female)EducationParticipation0.39833333299999996
SE.SEC.ENRL.LO.TC.ZSPupil-teacher ratio, lower secondaryEducationInputs0.469090909
SE.SEC.ENRL.TC.ZSPupil-teacher ratio, secondaryEducationInputs0.40916666700000004
SE.SEC.ENRL.UP.TC.ZSPupil-teacher ratio, upper secondaryEducationInputs0.442727273
SE.SEC.ENRL.VOSecondary education, vocational pupilsEducationParticipation0.45833333299999995
SE.SEC.ENRL.VO.FE.ZSSecondary education, vocational pupils (% female)EducationParticipation0.316666667
SE.SEC.ENRRSchool enrollment, secondary (% gross)EducationParticipation0.49166666700000006
SE.SEC.ENRR.FESchool enrollment, secondary, female (% gross)EducationParticipation0.495833333
SE.SEC.ENRR.MASchool enrollment, secondary, male (% gross)EducationParticipation0.5116666670000001
SE.SEC.NENRSchool enrollment, secondary (% net)EducationParticipation0.48
SE.SEC.NENR.FESchool enrollment, secondary, female (% net)EducationParticipation0.488333333
SE.SEC.NENR.MASchool enrollment, secondary, male (% net)EducationParticipation0.4525
SE.SEC.PRIV.ZSSchool enrollment, secondary, private (% of total secondary)EducationParticipation0.42100000000000004
SE.SEC.PROG.FE.ZSProgression to secondary school, female (%)EducationEfficiency0.483636364
SE.SEC.PROG.MA.ZSProgression to secondary school, male (%)EducationEfficiency0.391818182
SE.SEC.PROG.ZSProgression to secondary school (%)EducationEfficiency0.506363636
SE.SEC.TCAQ.FE.ZSTrained teachers in secondary education, female (% of female teachers)EducationInputs0.185555556
SE.SEC.TCAQ.LO.FE.ZSTrained teachers in lower secondary education, female (% of female teachers)EducationInputs0.125
SE.SEC.TCAQ.LO.MA.ZSTrained teachers in lower secondary education, male (% of male teachers)EducationInputs0.16
SE.SEC.TCAQ.LO.ZSTrained teachers in lower secondary education (% of total teachers)EducationInputs0.151111111
SE.SEC.TCAQ.MA.ZSTrained teachers in secondary education, male (% of male teachers)EducationInputs0.175555556
SE.SEC.TCAQ.UP.FE.ZSTrained teachers in upper secondary education, female (% of female teachers)EducationInputs0.135
SE.SEC.TCAQ.UP.MA.ZSTrained teachers in upper secondary education, male (% of male teachers)EducationInputs0.11125
SE.SEC.TCAQ.UP.ZSTrained teachers in upper secondary education (% of total teachers)EducationInputs0.12875
SE.SEC.TCAQ.ZSTrained teachers in secondary education (% of total teachers)EducationInputs0.176666667
SE.SEC.TCHRSecondary education, teachersEducationInputs0.391666667
SE.SEC.TCHR.FESecondary education, teachers, femaleEducationInputs0.3775
SE.SEC.TCHR.FE.ZSSecondary education, teachers (% female)EducationInputs0.465
SE.SEC.UNER.LO.FE.ZSAdolescents out of school, female (% of female lower secondary school age)EducationParticipation0.488
SE.SEC.UNER.LO.MA.ZSAdolescents out of school, male (% of male lower secondary school age)EducationParticipation0.494
SE.SEC.UNER.LO.ZSAdolescents out of school (% of lower secondary school age)EducationParticipation0.47
SE.TER.CUAT.BA.FE.ZSEducational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)EducationOutcomes0.0
SE.TER.CUAT.BA.MA.ZSEducational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)EducationOutcomes0.48875
SE.TER.CUAT.BA.ZSEducational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)EducationOutcomes0.5375
SE.TER.CUAT.DO.FE.ZSEducational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)EducationOutcomes0.43875
SE.TER.CUAT.DO.MA.ZSEducational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)EducationOutcomes0.5625
SE.TER.CUAT.DO.ZSEducational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)EducationOutcomes0.55375
SE.TER.CUAT.MS.FE.ZSEducational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)EducationOutcomes0.535
SE.TER.CUAT.MS.MA.ZSEducational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)EducationOutcomes0.50875
SE.TER.CUAT.MS.ZSEducational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)EducationOutcomes0.51125
SE.TER.CUAT.ST.FE.ZSEducational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)EducationOutcomes0.49700000000000005
SE.TER.CUAT.ST.MA.ZSEducational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)EducationOutcomes0.494
SE.TER.CUAT.ST.ZSEducational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)EducationOutcomes0.488
SE.TER.ENRL.TC.ZSPupil-teacher ratio, tertiaryEducationInputs0.41916666700000005
SE.TER.ENRRSchool enrollment, tertiary (% gross)EducationParticipation0.5375
SE.TER.ENRR.FESchool enrollment, tertiary, female (% gross)EducationParticipation0.551666667
SE.TER.ENRR.MASchool enrollment, tertiary, male (% gross)EducationParticipation0.531666667
SE.TER.TCHR.FE.ZSTertiary education, academic staff (% female)EducationInputs0.44818181799999995
SE.XPD.CPRM.ZSCurrent education expenditure, primary (% of total expenditure in primary public institutions)EducationInputs0.349
SE.XPD.CSEC.ZSCurrent education expenditure, secondary (% of total expenditure in secondary public institutions)EducationInputs0.361
SE.XPD.CTER.ZSCurrent education expenditure, tertiary (% of total expenditure in tertiary public institutions)EducationInputs0.366
SE.XPD.CTOT.ZSCurrent education expenditure, total (% of total expenditure in public institutions)EducationInputs0.387
SE.XPD.MPRM.ZSAll education staff compensation, primary (% of total expenditure in primary public institutions)EducationInputs0.0
SE.XPD.MSEC.ZSAll education staff compensation, secondary (% of total expenditure in secondary public institutions)EducationInputs0.0
SE.XPD.MTER.ZSAll education staff compensation, tertiary (% of total expenditure in tertiary public institutions)EducationInputs0.0
SE.XPD.MTOT.ZSAll education staff compensation, total (% of total expenditure in public institutions)EducationInputs0.0
SE.XPD.PRIM.PC.ZSGovernment expenditure per student, primary (% of GDP per capita)EducationInputs0.36700000000000005
SE.XPD.PRIM.ZSExpenditure on primary education (% of government expenditure on education)EducationInputs0.438333333
SE.XPD.SECO.PC.ZSGovernment expenditure per student, secondary (% of GDP per capita)EducationInputs0.47100000000000003
SE.XPD.SECO.ZSExpenditure on secondary education (% of government expenditure on education)EducationInputs0.365833333
SE.XPD.TERT.PC.ZSGovernment expenditure per student, tertiary (% of GDP per capita)EducationInputs0.426
SE.XPD.TERT.ZSExpenditure on tertiary education (% of government expenditure on education)EducationInputs0.283333333
SE.XPD.TOTL.GB.ZSGovernment expenditure on education, total (% of government expenditure)EducationInputs0.34083333299999996
SE.XPD.TOTL.GD.ZSGovernment expenditure on education, total (% of GDP)EducationInputs0.40916666700000004
SG.DMK.ALLD.FN.ZSWomen participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)GenderPublic life & decision making0.08375
SG.GEN.PARL.ZSProportion of seats held by women in national parliaments (%)GenderPublic life & decision making0.359
SG.JOB.NOPN.EQNonpregnant and nonnursing women can do the same jobs as men (1=yes; 0=no)GenderParticipation & access0.1075
SG.LAW.CHMRLaw prohibits or invalidates child or early marriage (1=yes; 0=no)GenderPublic life & decision making0.1025
SG.LAW.EQRM.WKLaw mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)GenderPublic life & decision making0.15625
SG.LAW.LEVE.PULaw mandates paid or unpaid maternity leave (1=yes; 0=no)GenderPublic life & decision making0.0
SG.LAW.NODC.HRLaw mandates nondiscrimination based on gender in hiring (1=yes; 0=no)GenderPublic life & decision making0.22
SG.LEG.DVAWLegislation exists on domestic violence (1=yes; 0=no)GenderPublic life & decision making0.095
SG.MMR.LEVE.EPMothers are guaranteed an equivalent position after maternity leave (1=yes; 0=no)GenderPublic life & decision making0.08125
SG.NOD.CONSNondiscrimination clause mentions gender in the constitution (1=yes; 0=no)GenderPublic life & decision making0.1675
SG.VAW.1549.ZSProportion of women subjected to physical and/or sexual violence in the last 12 months ( % of women age 15-49)GenderHealth0.38375
SG.VAW.ARGU.ZSWomen who believe a husband is justified in beating his wife when she argues with him (%)GenderHealth0.13875
SG.VAW.BURN.ZSWomen who believe a husband is justified in beating his wife when she burns the food (%)GenderHealth0.16
SG.VAW.GOES.ZSWomen who believe a husband is justified in beating his wife when she goes out without telling him (%)GenderHealth0.13625
SG.VAW.NEGL.ZSWomen who believe a husband is justified in beating his wife when she neglects the children (%)GenderHealth0.13
SG.VAW.REAS.ZSWomen who believe a husband is justified in beating his wife (any of five reasons) (%)GenderHealth0.16125
SG.VAW.REFU.ZSWomen who believe a husband is justified in beating his wife when she refuses sex with him (%)GenderHealth0.1225
SH.ALC.PCAP.LITotal alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)HealthRisk factors0.49
SH.ANM.ALLW.ZSPrevalence of anemia among women of reproductive age (% of women ages 15-49)HealthNutrition0.558333333
SH.ANM.CHLD.ZSPrevalence of anemia among children (% of children under 5)HealthNutrition0.5408333329999999
SH.ANM.NPRG.ZSPrevalence of anemia among non-pregnant women (% of women ages 15-49)HealthNutrition0.5741666670000001
SH.CON.1524.FE.ZSCondom use, population ages 15-24, female (% of females ages 15-24)HealthDisease prevention0.17125
SH.CON.1524.MA.ZSCondom use, population ages 15-24, male (% of males ages 15-24)HealthDisease prevention0.06625
SH.DTH.COMM.ZSCause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)HealthRisk factors0.5625
SH.DTH.IMRTNumber of infant deathsHealthMortality0.40666666700000004
SH.DTH.INJR.ZSCause of death, by injury (% of total)HealthRisk factors0.42625
SH.DTH.MORTNumber of under-five deathsHealthMortality0.423333333
SH.DTH.NCOM.ZSCause of death, by non-communicable diseases (% of total)HealthRisk factors0.5075
SH.DTH.NMRTNumber of neonatal deathsHealthMortality0.425833333
SH.DYN.AIDS.FE.ZSWomen's share of population ages 15+ living with HIV (%)HealthRisk factors0.385
SH.DYN.AIDS.ZSPrevalence of HIV, total (% of population ages 15-49)HealthRisk factors0.46083333299999996
SH.DYN.MORTMortality rate, under-5 (per 1,000 live births)HealthMortality0.605833333
SH.DYN.MORT.FEMortality rate, under-5, female (per 1,000 live births)HealthMortality0.64375
SH.DYN.MORT.MAMortality rate, under-5, male (per 1,000 live births)HealthMortality0.67125
SH.DYN.NCOM.ZSMortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)HealthMortality0.49375
SH.DYN.NMRTMortality rate, neonatal (per 1,000 live births)HealthMortality0.585833333
SH.FPL.SATM.ZSDemand for family planning satisfied by modern methods (% of married women with demand for family planning)HealthReproductive health0.18875
SH.H2O.SAFE.RU.ZSImproved water source, rural (% of rural population with access)HealthDisease prevention0.0
SH.H2O.SAFE.UR.ZSImproved water source, urban (% of urban population with access)HealthDisease prevention0.0
SH.H2O.SAFE.ZSImproved water source (% of population with access)HealthDisease prevention0.0
SH.HIV.0014Children (0-14) living with HIVHealthRisk factors0.336
SH.HIV.1524.FE.ZSPrevalence of HIV, female (% ages 15-24)HealthRisk factors0.198333333
SH.HIV.1524.MA.ZSPrevalence of HIV, male (% ages 15-24)HealthRisk factors0.160833333
SH.HIV.ARTC.ZSAntiretroviral therapy coverage (% of people living with HIV)HealthRisk factors0.37200000000000005
SH.HIV.INCDAdults (ages 15+) newly infected with HIVHealthRisk factors0.286666667
SH.HIV.INCD.14Children (ages 0-14) newly infected with HIVHealthRisk factors0.21
SH.HIV.INCD.TLAdults (ages 15+) and children (ages 0-14) newly infected with HIVHealthRisk factors0.381666667
SH.HIV.INCD.ZSIncidence of HIV (% of uninfected population ages 15-49)HealthRisk factors0.320833333
SH.HIV.PMTC.ZSAntiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)HealthRisk factors0.127777778
SH.IMM.HEPBImmunization, HepB3 (% of one-year-old children)HealthDisease prevention0.29583333300000003
SH.IMM.IDPTImmunization, DPT (% of children ages 12-23 months)HealthDisease prevention0.365833333
SH.IMM.MEASImmunization, measles (% of children ages 12-23 months)HealthDisease prevention0.35916666700000005
SH.MED.BEDS.ZSHospital beds (per 1,000 people)HealthHealth systems0.431666667
SH.MED.CMHW.P3Community health workers (per 1,000 people)HealthHealth systems0.165
SH.MED.NUMW.P3Nurses and midwives (per 1,000 people)HealthHealth systems0.626363636
SH.MED.PHYS.ZSPhysicians (per 1,000 people)HealthHealth systems0.48166666700000005
SH.MED.SAOP.P5Specialist surgical workforce (per 100,000 population)HealthHealth systems0.525
SH.MLR.INCD.P3Incidence of malaria (per 1,000 population at risk)HealthRisk factors0.18
SH.MLR.NETS.ZSUse of insecticide-treated bed nets (% of under-5 population)HealthDisease prevention0.10625
SH.MLR.TRET.ZSChildren with fever receiving antimalarial drugs (% of children under age 5 with fever)HealthDisease prevention0.10875
SH.MMR.DTHSNumber of maternal deathsHealthReproductive health0.43700000000000006
SH.MMR.RISKLifetime risk of maternal death (1 in: rate varies by country)HealthReproductive health0.645
SH.MMR.RISK.ZSLifetime risk of maternal death (%)HealthReproductive health0.633
SH.PRG.ANEMPrevalence of anemia among pregnant women (%)HealthNutrition0.555
SH.PRV.SMOK.FESmoking prevalence, females (% of adults)HealthRisk factors0.47875
SH.PRV.SMOK.MASmoking prevalence, males (% of adults)HealthRisk factors0.36625
SH.SGR.CRSK.ZSRisk of catastrophic expenditure for surgical care (% of people at risk)HealthRisk factors0.574
SH.SGR.IRSK.ZSRisk of impoverishing expenditure for surgical care (% of people at risk)HealthRisk factors0.636
SH.SGR.PROC.P5Number of surgical procedures (per 100,000 population)HealthHealth systems0.305
SH.STA.ACSNImproved sanitation facilities (% of population with access)HealthDisease prevention0.0
SH.STA.ACSN.RUImproved sanitation facilities, rural (% of rural population with access)HealthDisease prevention0.0
SH.STA.ACSN.URImproved sanitation facilities, urban (% of urban population with access)HealthDisease prevention0.0
SH.STA.ANVC.ZSPregnant women receiving prenatal care (%)HealthReproductive health0.307
SH.STA.ARIC.ZSARI treatment (% of children under 5 taken to a health provider)HealthDisease prevention0.187777778
SH.STA.BFED.ZSExclusive breastfeeding (% of children under 6 months)HealthNutrition0.176666667
SH.STA.BRTC.ZSBirths attended by skilled health staff (% of total)HealthReproductive health0.379166667
SH.STA.BRTW.ZSLow-birthweight babies (% of births)HealthNutrition0.444444444
SH.STA.DIAB.ZSDiabetes prevalence (% of population ages 20 to 79)HealthRisk factors0.48625
SH.STA.FGMS.ZSFemale genital mutilation prevalence (%)HealthRisk factors0.0
SH.STA.MALN.FE.ZSPrevalence of underweight, weight for age, female (% of children under 5)HealthNutrition0.295
SH.STA.MALN.MA.ZSPrevalence of underweight, weight for age, male (% of children under 5)HealthNutrition0.24625
SH.STA.MALN.ZSPrevalence of underweight, weight for age (% of children under 5)HealthNutrition0.278
SH.STA.MMRTMaternal mortality ratio (modeled estimate, per 100,000 live births)HealthReproductive health0.633
SH.STA.MMRT.NEMaternal mortality ratio (national estimate, per 100,000 live births)HealthReproductive health0.5822222220000001
SH.STA.ODFC.RU.ZSPeople practicing open defecation, rural (% of rural population)HealthRisk factors0.308
SH.STA.ODFC.UR.ZSPeople practicing open defecation, urban (% of urban population)HealthRisk factors0.275
SH.STA.ODFC.ZSPeople practicing open defecation (% of population)HealthRisk factors0.325
SH.STA.ORCF.ZSDiarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)HealthDisease prevention0.15333333300000002
SH.STA.ORTHDiarrhea treatment (% of children under 5 who received ORS packet)HealthDisease prevention0.18333333300000001
SH.STA.OWGH.FE.ZSPrevalence of overweight, weight for height, female (% of children under 5)HealthNutrition0.225
SH.STA.OWGH.MA.ZSPrevalence of overweight, weight for height, male (% of children under 5)HealthNutrition0.2375
SH.STA.OWGH.ZSPrevalence of overweight, weight for height (% of children under 5)HealthNutrition0.207777778
SH.STA.STNT.FE.ZSPrevalence of stunting, height for age, female (% of children under 5)HealthNutrition0.31125
SH.STA.STNT.MA.ZSPrevalence of stunting, height for age, male (% of children under 5)HealthNutrition0.3425
SH.STA.STNT.ZSPrevalence of stunting, height for age (% of children under 5)HealthNutrition0.303
SH.STA.SUIC.P5Suicide mortality rate (per 100,000 population)HealthMortality0.45
SH.STA.TRAF.P5Mortality caused by road traffic injury (per 100,000 people)HealthRisk factors0.585
SH.STA.WAST.FE.ZSPrevalence of wasting, weight for height, female (% of children under 5)HealthNutrition0.2025
SH.STA.WAST.MA.ZSPrevalence of wasting, weight for height, male (% of children under 5)HealthNutrition0.17875
SH.STA.WAST.ZSPrevalence of wasting, weight for height (% of children under 5)HealthNutrition0.191
SH.SVR.WAST.FE.ZSPrevalence of severe wasting, weight for height, female (% of children under 5)HealthNutrition0.15875
SH.SVR.WAST.MA.ZSPrevalence of severe wasting, weight for height, male (% of children under 5)HealthNutrition0.18125
SH.SVR.WAST.ZSPrevalence of severe wasting, weight for height (% of children under 5)HealthNutrition0.19888888899999999
SH.TBS.CURE.ZSTuberculosis treatment success rate (% of new cases)HealthDisease prevention0.335
SH.TBS.DTEC.ZSTuberculosis case detection rate (%, all forms)HealthDisease prevention0.335
SH.TBS.INCDIncidence of tuberculosis (per 100,000 people)HealthRisk factors0.584
SH.VAC.TTNS.ZSNewborns protected against tetanus (%)HealthReproductive health0.2
SH.XPD.EXTR.ZSExternal resources for health (% of total expenditure on health)HealthHealth systems0.0
SH.XPD.OOPC.TO.ZSOut-of-pocket health expenditure (% of total expenditure on health)HealthHealth systems0.0
SH.XPD.OOPC.ZSOut-of-pocket health expenditure (% of private expenditure on health)HealthHealth systems0.0
SH.XPD.PCAPHealth expenditure per capita (current US$)HealthHealth systems0.0
SH.XPD.PCAP.PP.KDHealth expenditure per capita, PPP (constant 2011 international $)HealthHealth systems0.0
SH.XPD.PRIV.ZSHealth expenditure, private (% of GDP)HealthHealth systems0.0
SH.XPD.PUBLHealth expenditure, public (% of total health expenditure)HealthHealth systems0.0
SH.XPD.PUBL.GX.ZSHealth expenditure, public (% of government expenditure)HealthHealth systems0.0
SH.XPD.PUBL.ZSHealth expenditure, public (% of GDP)HealthHealth systems0.0
SH.XPD.TOTL.ZSHealth expenditure, total (% of GDP)HealthHealth systems0.0
SI.DST.02ND.20Income share held by second 20%PovertyIncome distribution0.493636364
SI.DST.03RD.20Income share held by third 20%PovertyIncome distribution0.43181818200000005
SI.DST.04TH.20Income share held by fourth 20%PovertyIncome distribution0.350909091
SI.DST.05TH.20Income share held by highest 20%PovertyIncome distribution0.685454545
SI.DST.10TH.10Income share held by highest 10%PovertyIncome distribution0.68
SI.DST.FRST.10Income share held by lowest 10%PovertyIncome distribution0.524545455
SI.DST.FRST.20Income share held by lowest 20%PovertyIncome distribution0.580909091
SI.POV.2DAYPoverty headcount ratio at $3.10 a day (2011 PPP) (% of population)PovertyPoverty rates0.0
SI.POV.DDAYPoverty headcount ratio at $1.90 a day (2011 PPP) (% of population)PovertyPoverty rates0.534545455
SI.POV.GAP2Poverty gap at $3.10 a day (2011 PPP) (%)PovertyPoverty rates0.0
SI.POV.GAPSPoverty gap at $1.90 a day (2011 PPP) (%)PovertyPoverty rates0.455454545
SI.POV.GINIGINI index (World Bank estimate)PovertyIncome distribution0.683636364
SI.POV.NAGPPoverty gap at national poverty lines (%)PovertyPoverty rates0.19625
SI.POV.NAHCPoverty headcount ratio at national poverty lines (% of population)PovertyPoverty rates0.306666667
SI.POV.RUGPRural poverty gap at national poverty lines (%)PovertyPoverty rates0.14625
SI.POV.RUHCRural poverty headcount ratio at national poverty lines (% of rural population)PovertyPoverty rates0.2875
SI.POV.URGPUrban poverty gap at national poverty lines (%)PovertyPoverty rates0.165
SI.POV.URHCUrban poverty headcount ratio at national poverty lines (% of urban population)PovertyPoverty rates0.1975
SI.SPR.PC40Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)PovertyShared prosperity0.7325
SI.SPR.PC40.ZGAnnualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)PovertyShared prosperity0.45875
SI.SPR.PCAPSurvey mean consumption or income per capita, total population (2011 PPP $ per day)PovertyShared prosperity0.57125
SI.SPR.PCAP.ZGAnnualized average growth rate in per capita real survey mean consumption or income, total population (%)PovertyShared prosperity0.4375
SL.AGR.0714.FE.ZSChild employment in agriculture, female (% of female economically active children ages 7-14)Social Protection & LaborEconomic activity0.10125
SL.AGR.0714.MA.ZSChild employment in agriculture, male (% of male economically active children ages 7-14)Social Protection & LaborEconomic activity0.09125
SL.AGR.0714.ZSChild employment in agriculture (% of economically active children ages 7-14)Social Protection & LaborEconomic activity0.1075
SL.AGR.EMPL.FE.ZSEmployment in agriculture, female (% of female employment)Social Protection & LaborEconomic activity0.475
SL.AGR.EMPL.MA.ZSEmployment in agriculture, male (% of male employment)Social Protection & LaborEconomic activity0.515
SL.AGR.EMPL.ZSEmployment in agriculture (% of total employment)Social Protection & LaborEconomic activity0.510833333
SL.EMP.1524.SP.FE.NE.ZSEmployment to population ratio, ages 15-24, female (%) (national estimate)Social Protection & LaborEconomic activity0.308333333
SL.EMP.1524.SP.FE.ZSEmployment to population ratio, ages 15-24, female (%) (modeled ILO estimate)Social Protection & LaborEconomic activity0.34083333299999996
SL.EMP.1524.SP.MA.NE.ZSEmployment to population ratio, ages 15-24, male (%) (national estimate)Social Protection & LaborEconomic activity0.33666666700000003
SL.EMP.1524.SP.MA.ZSEmployment to population ratio, ages 15-24, male (%) (modeled ILO estimate)Social Protection & LaborEconomic activity0.306666667
SL.EMP.1524.SP.NE.ZSEmployment to population ratio, ages 15-24, total (%) (national estimate)Social Protection & LaborEconomic activity0.255833333
SL.EMP.1524.SP.ZSEmployment to population ratio, ages 15-24, total (%) (modeled ILO estimate)Social Protection & LaborEconomic activity0.271666667
SL.EMP.INSV.FE.ZSShare of women in wage employment in the nonagricultural sector (% of total nonagricultural employment)Social Protection & LaborEconomic activity0.0
SL.EMP.MPYR.FE.ZSEmployers, female (% of female employment)Social Protection & LaborEconomic activity0.368333333
SL.EMP.MPYR.MA.ZSEmployers, male (% of male employment)Social Protection & LaborEconomic activity0.328333333
SL.EMP.MPYR.ZSEmployers, total (% of total employment)Social Protection & LaborEconomic activity0.368333333
SL.EMP.SELF.FE.ZSSelf-employed, female (% of female employment)Social Protection & LaborEconomic activity0.47083333299999997
SL.EMP.SELF.MA.ZSSelf-employed, male (% of male employment)Social Protection & LaborEconomic activity0.445
SL.EMP.SELF.ZSSelf-employed, total (% of total employment)Social Protection & LaborEconomic activity0.47583333299999997
SL.EMP.SMGT.FE.ZSFemale share of employment in senior and middle management (%)Social Protection & LaborEconomic activity0.395
SL.EMP.TOTL.SP.FE.NE.ZSEmployment to population ratio, 15+, female (%) (national estimate)Social Protection & LaborEconomic activity0.39833333299999996
SL.EMP.TOTL.SP.FE.ZSEmployment to population ratio, 15+, female (%) (modeled ILO estimate)Social Protection & LaborEconomic activity0.39916666700000003
SL.EMP.TOTL.SP.MA.NE.ZSEmployment to population ratio, 15+, male (%) (national estimate)Social Protection & LaborEconomic activity0.333333333
SL.EMP.TOTL.SP.MA.ZSEmployment to population ratio, 15+, male (%) (modeled ILO estimate)Social Protection & LaborEconomic activity0.38333333299999994
SL.EMP.TOTL.SP.NE.ZSEmployment to population ratio, 15+, total (%) (national estimate)Social Protection & LaborEconomic activity0.3275
SL.EMP.TOTL.SP.ZSEmployment to population ratio, 15+, total (%) (modeled ILO estimate)Social Protection & LaborEconomic activity0.37
SL.EMP.VULN.FE.ZSVulnerable employment, female (% of female employment)Social Protection & LaborEconomic activity0.443333333
SL.EMP.VULN.MA.ZSVulnerable employment, male (% of male employment)Social Protection & LaborEconomic activity0.4325
SL.EMP.VULN.ZSVulnerable employment, total (% of total employment)Social Protection & LaborEconomic activity0.46333333299999996
SL.EMP.WORK.FE.ZSWage and salaried workers, female (% of female employment)Social Protection & LaborEconomic activity0.483333333
SL.EMP.WORK.MA.ZSWage and salaried workers, male (% of male employment)Social Protection & LaborEconomic activity0.46666666700000003
SL.EMP.WORK.ZSWage and salaried workers, total (% of total employment)Social Protection & LaborEconomic activity0.46833333299999996
SL.FAM.0714.FE.ZSChildren in employment, unpaid family workers, female (% of female children in employment, ages 7-14)Social Protection & LaborEconomic activity0.15625
SL.FAM.0714.MA.ZSChildren in employment, unpaid family workers, male (% of male children in employment, ages 7-14)Social Protection & LaborEconomic activity0.165
SL.FAM.0714.ZSChildren in employment, unpaid family workers (% of children in employment, ages 7-14)Social Protection & LaborEconomic activity0.1425
SL.FAM.WORK.FE.ZSContributing family workers, female (% of female employment)Social Protection & LaborEconomic activity0.46083333299999996
SL.FAM.WORK.MA.ZSContributing family workers, male (% of male employment)Social Protection & LaborEconomic activity0.494166667
SL.FAM.WORK.ZSContributing family workers, total (% of total employment)Social Protection & LaborEconomic activity0.47416666700000004
SL.GDP.PCAP.EM.KDGDP per person employed (constant 2011 PPP $)Social Protection & LaborEconomic activity0.595
SL.IND.EMPL.FE.ZSEmployment in industry, female (% of female employment)Social Protection & LaborEconomic activity0.3975
SL.IND.EMPL.MA.ZSEmployment in industry, male (% of male employment)Social Protection & LaborEconomic activity0.535
SL.IND.EMPL.ZSEmployment in industry (% of total employment)Social Protection & LaborEconomic activity0.498333333
SL.ISV.IFRM.FE.ZSInformal employment, female (% of total non-agricultural employment)Social Protection & LaborEconomic activity0.20375
SL.ISV.IFRM.MA.ZSInformal employment, male (% of total non-agricultural employment)Social Protection & LaborEconomic activity0.18125
SL.ISV.IFRM.ZSInformal employment (% of total non-agricultural employment)Social Protection & LaborEconomic activity0.2125
SL.MNF.0714.FE.ZSChild employment in manufacturing, female (% of female economically active children ages 7-14)Social Protection & LaborEconomic activity0.11125
SL.MNF.0714.MA.ZSChild employment in manufacturing, male (% of male economically active children ages 7-14)Social Protection & LaborEconomic activity0.08625
SL.MNF.0714.ZSChild employment in manufacturing (% of economically active children ages 7-14)Social Protection & LaborEconomic activity0.1475
SL.SLF.0714.FE.ZSChildren in employment, self-employed, female (% of female children in employment, ages 7-14)Social Protection & LaborEconomic activity0.11375
SL.SLF.0714.MA.ZSChildren in employment, self-employed, male (% of male children in employment, ages 7-14)Social Protection & LaborEconomic activity0.155
SL.SLF.0714.ZSChildren in employment, self-employed (% of children in employment, ages 7-14)Social Protection & LaborEconomic activity0.12
SL.SRV.0714.FE.ZSChild employment in services, female (% of female economically active children ages 7-14)Social Protection & LaborEconomic activity0.0925
SL.SRV.0714.MA.ZSChild employment in services, male (% of male economically active children ages 7-14)Social Protection & LaborEconomic activity0.11625
SL.SRV.0714.ZSChild employment in services (% of economically active children ages 7-14)Social Protection & LaborEconomic activity0.10625
SL.SRV.EMPL.FE.ZSEmployment in services, female (% of female employment)Social Protection & LaborEconomic activity0.443333333
SL.SRV.EMPL.MA.ZSEmployment in services, male (% of male employment)Social Protection & LaborEconomic activity0.446666667
SL.SRV.EMPL.ZSEmployment in services (% of total employment)Social Protection & LaborEconomic activity0.509166667
SL.TLF.0714.FE.ZSChildren in employment, female (% of female children ages 7-14)Social Protection & LaborEconomic activity0.185555556
SL.TLF.0714.MA.ZSChildren in employment, male (% of male children ages 7-14)Social Protection & LaborEconomic activity0.18333333300000001
SL.TLF.0714.SW.FE.TMAverage working hours of children, study and work, female, ages 7-14 (hours per week)Social Protection & LaborEconomic activity0.18875
SL.TLF.0714.SW.FE.ZSChildren in employment, study and work, female (% of female children in employment, ages 7-14)Social Protection & LaborEconomic activity0.17375
SL.TLF.0714.SW.MA.TMAverage working hours of children, study and work, male, ages 7-14 (hours per week)Social Protection & LaborEconomic activity0.18125
SL.TLF.0714.SW.MA.ZSChildren in employment, study and work, male (% of male children in employment, ages 7-14)Social Protection & LaborEconomic activity0.1675
SL.TLF.0714.SW.TMAverage working hours of children, study and work, ages 7-14 (hours per week)Social Protection & LaborEconomic activity0.20875
SL.TLF.0714.SW.ZSChildren in employment, study and work (% of children in employment, ages 7-14)Social Protection & LaborEconomic activity0.162222222
SL.TLF.0714.WK.FE.TMAverage working hours of children, working only, female, ages 7-14 (hours per week)Social Protection & LaborEconomic activity0.12125
SL.TLF.0714.WK.FE.ZSChildren in employment, work only, female (% of female children in employment, ages 7-14)Social Protection & LaborEconomic activity0.205
SL.TLF.0714.WK.MA.TMAverage working hours of children, working only, male, ages 7-14 (hours per week)Social Protection & LaborEconomic activity0.10625
SL.TLF.0714.WK.MA.ZSChildren in employment, work only, male (% of male children in employment, ages 7-14)Social Protection & LaborEconomic activity0.16625
SL.TLF.0714.WK.TMAverage working hours of children, working only, ages 7-14 (hours per week)Social Protection & LaborEconomic activity0.10375
SL.TLF.0714.WK.ZSChildren in employment, work only (% of children in employment, ages 7-14)Social Protection & LaborEconomic activity0.175555556
SL.TLF.0714.ZSChildren in employment, total (% of children ages 7-14)Social Protection & LaborEconomic activity0.176666667
SL.TLF.ACTI.1524.FE.NE.ZSLabor force participation rate for ages 15-24, female (%) (national estimate)Social Protection & LaborLabor force structure0.374166667
SL.TLF.ACTI.1524.FE.ZSLabor force participation rate for ages 15-24, female (%) (modeled ILO estimate)Social Protection & LaborLabor force structure0.33166666699999997
SL.TLF.ACTI.1524.MA.NE.ZSLabor force participation rate for ages 15-24, male (%) (national estimate)Social Protection & LaborLabor force structure0.3625
SL.TLF.ACTI.1524.MA.ZSLabor force participation rate for ages 15-24, male (%) (modeled ILO estimate)Social Protection & LaborLabor force structure0.280833333
SL.TLF.ACTI.1524.NE.ZSLabor force participation rate for ages 15-24, total (%) (national estimate)Social Protection & LaborLabor force structure0.36166666700000005
SL.TLF.ACTI.1524.ZSLabor force participation rate for ages 15-24, total (%) (modeled ILO estimate)Social Protection & LaborLabor force structure0.305
SL.TLF.ADVN.FE.ZSLabor force with advanced education, female (% of female labor force)Social Protection & LaborLabor force structure0.35166666700000004
SL.TLF.ADVN.MA.ZSLabor force with advanced education, male (% of male labor force)Social Protection & LaborLabor force structure0.3075
SL.TLF.ADVN.ZSLabor force with advanced education (% of total)Social Protection & LaborLabor force structure0.39083333299999995
SL.TLF.BASC.FE.ZSLabor force with basic education, female (% of female labor force)Social Protection & LaborLabor force structure0.34333333299999996
SL.TLF.BASC.MA.ZSLabor force with basic education, male (% of male labor force)Social Protection & LaborLabor force structure0.335
SL.TLF.BASC.ZSLabor force with basic education (% of total)Social Protection & LaborLabor force structure0.380833333
SL.TLF.CACT.FE.NE.ZSLabor force participation rate, female (% of female population ages 15+) (national estimate)Social Protection & LaborLabor force structure0.391666667
SL.TLF.CACT.FE.ZSLabor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)Social Protection & LaborLabor force structure0.449166667
SL.TLF.CACT.FM.NE.ZSRatio of female to male labor force participation rate (%) (national estimate)Social Protection & LaborLabor force structure0.4175
SL.TLF.CACT.FM.ZSRatio of female to male labor force participation rate (%) (modeled ILO estimate)Social Protection & LaborLabor force structure0.45333333299999995
SL.TLF.CACT.MA.NE.ZSLabor force participation rate, male (% of male population ages 15+) (national estimate)Social Protection & LaborLabor force structure0.4025
SL.TLF.CACT.MA.ZSLabor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)Social Protection & LaborLabor force structure0.4375
SL.TLF.CACT.NE.ZSLabor force participation rate, total (% of total population ages 15+) (national estimate)Social Protection & LaborLabor force structure0.381666667
SL.TLF.CACT.ZSLabor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)Social Protection & LaborLabor force structure0.45
SL.TLF.INTM.FE.ZSLabor force with intermediate education, female (% of female labor force)Social Protection & LaborLabor force structure0.330833333
SL.TLF.INTM.MA.ZSLabor force with intermediate education, male (% of male labor force)Social Protection & LaborLabor force structure0.380833333
SL.TLF.INTM.ZSLabor force with intermediate education (% of total)Social Protection & LaborLabor force structure0.3475
SL.TLF.TOTL.FE.ZSLabor force, female (% of total labor force)Social Protection & LaborLabor force structure0.45916666700000003
SL.TLF.TOTL.INLabor force, totalSocial Protection & LaborLabor force structure0.41
SL.UEM.1524.FE.NE.ZSUnemployment, youth female (% of female labor force ages 15-24) (national estimate)Social Protection & LaborUnemployment0.435
SL.UEM.1524.FE.ZSUnemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)Social Protection & LaborUnemployment0.386666667
SL.UEM.1524.MA.NE.ZSUnemployment, youth male (% of male labor force ages 15-24) (national estimate)Social Protection & LaborUnemployment0.335
SL.UEM.1524.MA.ZSUnemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)Social Protection & LaborUnemployment0.4175
SL.UEM.1524.NE.ZSUnemployment, youth total (% of total labor force ages 15-24) (national estimate)Social Protection & LaborUnemployment0.378333333
SL.UEM.1524.ZSUnemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)Social Protection & LaborUnemployment0.371666667
SL.UEM.ADVN.FE.ZSUnemployment with advanced education, femaleSocial Protection & LaborUnemployment0.499166667
SL.UEM.ADVN.MA.ZSUnemployment with advanced education, maleSocial Protection & LaborUnemployment0.45916666700000003
SL.UEM.ADVN.ZSUnemployment with advanced education (% of total unemployment)Social Protection & LaborUnemployment0.46166666700000003
SL.UEM.BASC.FE.ZSUnemployment with basic education, femaleSocial Protection & LaborUnemployment0.33916666700000003
SL.UEM.BASC.MA.ZSUnemployment with basic education, maleSocial Protection & LaborUnemployment0.36166666700000005
SL.UEM.BASC.ZSUnemployment with basic education (% of total unemployment)Social Protection & LaborUnemployment0.34416666700000004
SL.UEM.INTM.FE.ZSUnemployment with intermediate education, femaleSocial Protection & LaborUnemployment0.420833333
SL.UEM.INTM.MA.ZSUnemployment with intermediate education, maleSocial Protection & LaborUnemployment0.380833333
SL.UEM.INTM.ZSUnemployment with intermediate education (% of total unemployment)Social Protection & LaborUnemployment0.386666667
SL.UEM.NEET.FE.ZSShare of youth not in education, employment or training, female (% of female youth population)Social Protection & LaborUnemployment0.578
SL.UEM.NEET.MA.ZSShare of youth not in education, employment or training, male (% of male youth population)Social Protection & LaborUnemployment0.456
SL.UEM.NEET.ZSShare of youth not in education, employment or training, total (% of youth population)Social Protection & LaborUnemployment0.532
SL.UEM.TOTL.FE.NE.ZSUnemployment, female (% of female labor force) (national estimate)Social Protection & LaborUnemployment0.439166667
SL.UEM.TOTL.FE.ZSUnemployment, female (% of female labor force) (modeled ILO estimate)Social Protection & LaborUnemployment0.3825
SL.UEM.TOTL.MA.NE.ZSUnemployment, male (% of male labor force) (national estimate)Social Protection & LaborUnemployment0.375
SL.UEM.TOTL.MA.ZSUnemployment, male (% of male labor force) (modeled ILO estimate)Social Protection & LaborUnemployment0.358333333
SL.UEM.TOTL.NE.ZSUnemployment, total (% of total labor force) (national estimate)Social Protection & LaborUnemployment0.45833333299999995
SL.UEM.TOTL.ZSUnemployment, total (% of total labor force) (modeled ILO estimate)Social Protection & LaborUnemployment0.3875
SL.WAG.0714.FE.ZSChildren in employment, wage workers, female (% of female children in employment, ages 7-14)Social Protection & LaborEconomic activity0.14125
SL.WAG.0714.MA.ZSChildren in employment, wage workers, male (% of male children in employment, ages 7-14)Social Protection & LaborEconomic activity0.11
SL.WAG.0714.ZSChildren in employment, wage workers (% of children in employment, ages 7-14)Social Protection & LaborEconomic activity0.135
SM.EMI.TERT.ZSEmigration rate of tertiary educated (% of total tertiary educated population)Social Protection & LaborMigration0.0
SM.POP.NETMNet migrationSocial Protection & LaborMigration0.59875
SM.POP.REFGRefugee population by country or territory of asylumSocial Protection & LaborMigration0.41416666700000004
SM.POP.REFG.ORRefugee population by country or territory of originSocial Protection & LaborMigration0.496666667
SM.POP.TOTLInternational migrant stock, totalSocial Protection & LaborMigration0.5025
SM.POP.TOTL.ZSInternational migrant stock (% of population)Social Protection & LaborMigration0.47916666700000005
SN.ITK.DEFC.ZSPrevalence of undernourishment (% of population)HealthNutrition0.445
SN.ITK.DFCTDepth of the food deficit (kilocalories per person per day)HealthNutrition0.0
SN.ITK.SALT.ZSConsumption of iodized salt (% of households)HealthNutrition0.14375
SN.ITK.VITA.ZSVitamin A supplementation coverage rate (% of children ages 6-59 months)HealthNutrition0.09
SP.ADO.TFRTAdolescent fertility rate (births per 1,000 women ages 15-19)HealthReproductive health0.5925
SP.DTH.INFR.ZSCompleteness of infant death reporting (% of reported infant deaths to estimated infant deaths)HealthMortality0.51125
SP.DTH.REPT.ZSCompleteness of total death reporting (% of reported total deaths to estimated total deaths)HealthMortality0.46875
SP.DYN.AMRT.FEMortality rate, adult, female (per 1,000 female adults)HealthMortality0.5608333329999999
SP.DYN.AMRT.MAMortality rate, adult, male (per 1,000 male adults)HealthMortality0.495
SP.DYN.CBRT.INBirth rate, crude (per 1,000 people)HealthPopulation0.571666667
SP.DYN.CDRT.INDeath rate, crude (per 1,000 people)HealthPopulation0.4125
SP.DYN.CONM.ZSContraceptive prevalence, modern methods (% of women ages 15-49)HealthReproductive health0.358
SP.DYN.CONU.ZSContraceptive prevalence, any methods (% of women ages 15-49)HealthReproductive health0.46
SP.DYN.IMRT.FE.INMortality rate, infant, female (per 1,000 live births)HealthMortality0.6125
SP.DYN.IMRT.INMortality rate, infant (per 1,000 live births)HealthMortality0.598333333
SP.DYN.IMRT.MA.INMortality rate, infant, male (per 1,000 live births)HealthMortality0.59875
SP.DYN.LE00.FE.INLife expectancy at birth, female (years)HealthMortality0.5625
SP.DYN.LE00.INLife expectancy at birth, total (years)HealthMortality0.610833333
SP.DYN.LE00.MA.INLife expectancy at birth, male (years)HealthMortality0.5791666670000001
SP.DYN.TFRT.INFertility rate, total (births per woman)HealthReproductive health0.499166667
SP.DYN.TO65.FE.ZSSurvival to age 65, female (% of cohort)HealthMortality0.601666667
SP.DYN.TO65.MA.ZSSurvival to age 65, male (% of cohort)HealthMortality0.530833333
SP.DYN.WFRTWanted fertility rate (births per woman)HealthReproductive health0.16625
SP.HOU.FEMA.ZSFemale headed households (% of households with a female head)HealthPopulation0.1125
SP.M18.2024.FE.ZSWomen who were first married by age 18 (% of women ages 20-24)HealthPopulation0.253333333
SP.MTR.1519.ZSTeenage mothers (% of women ages 15-19 who have had children or are currently pregnant)HealthReproductive health0.255
SP.POP.0004.FE.5YPopulation ages 0-4, female (% of female population)HealthPopulation0.5116666670000001
SP.POP.0004.MA.5YPopulation ages 0-4, male (% of male population)HealthPopulation0.5591666670000001
SP.POP.0014.TO.ZSPopulation ages 0-14 (% of total)HealthPopulation0.46416666700000003
SP.POP.0509.FE.5YPopulation ages 5-9, female (% of female population)HealthPopulation0.47833333299999997
SP.POP.0509.MA.5YPopulation ages 5-9, male (% of male population)HealthPopulation0.515833333
SP.POP.1014.FE.5YPopulation ages 10-14, female (% of female population)HealthPopulation0.525833333
SP.POP.1014.MA.5YPopulation ages 10-14, male (% of male population)HealthPopulation0.531666667
SP.POP.1519.FE.5YPopulation ages 15-19, female (% of female population)HealthPopulation0.520833333
SP.POP.1519.MA.5YPopulation ages 15-19, male (% of male population)HealthPopulation0.525833333
SP.POP.1564.TO.ZSPopulation ages 15-64 (% of total)HealthPopulation0.44
SP.POP.2024.FE.5YPopulation ages 20-24, female (% of female population)HealthPopulation0.519166667
SP.POP.2024.MA.5YPopulation ages 20-24, male (% of male population)HealthPopulation0.566666667
SP.POP.2529.FE.5YPopulation ages 25-29, female (% of female population)HealthPopulation0.47416666700000004
SP.POP.2529.MA.5YPopulation ages 25-29, male (% of male population)HealthPopulation0.4925
SP.POP.3034.FE.5YPopulation ages 30-34, female (% of female population)HealthPopulation0.36166666700000005
SP.POP.3034.MA.5YPopulation ages 30-34, male (% of male population)HealthPopulation0.38833333299999995
SP.POP.3539.FE.5YPopulation ages 35-39, female (% of female population)HealthPopulation0.415
SP.POP.3539.MA.5YPopulation ages 35-39, male (% of male population)HealthPopulation0.423333333
SP.POP.4044.FE.5YPopulation ages 40-44, female (% of female population)HealthPopulation0.52
SP.POP.4044.MA.5YPopulation ages 40-44, male (% of male population)HealthPopulation0.493333333
SP.POP.4549.FE.5YPopulation ages 45-49, female (% of female population)HealthPopulation0.485833333
SP.POP.4549.MA.5YPopulation ages 45-49, male (% of male population)HealthPopulation0.493333333
SP.POP.5054.FE.5YPopulation ages 50-54, female (% of female population)HealthPopulation0.4875
SP.POP.5054.MA.5YPopulation ages 50-54, male (% of male population)HealthPopulation0.4975
SP.POP.5559.FE.5YPopulation ages 55-59, female (% of female population)HealthPopulation0.483333333
SP.POP.5559.MA.5YPopulation ages 55-59, male (% of male population)HealthPopulation0.47
SP.POP.6064.FE.5YPopulation ages 50-64, female (% of female population)HealthPopulation0.485
SP.POP.6064.MA.5YPopulation ages 50-64, male (% of male population)HealthPopulation0.47083333299999997
SP.POP.6569.FE.5YPopulation ages 65-69, female (% of female population)HealthPopulation0.446666667
SP.POP.6569.MA.5YPopulation ages 65-69, male (% of male population)HealthPopulation0.47166666700000004
SP.POP.65UP.TO.ZSPopulation ages 65 and above (% of total)HealthPopulation0.4925
SP.POP.7074.FE.5YPopulation ages 70-74, female (% of female population)HealthPopulation0.48416666700000005
SP.POP.7074.MA.5YPopulation ages 70-74, male (% of male population)HealthPopulation0.485833333
SP.POP.7579.FE.5YPopulation ages 75-79, female (% of female population)HealthPopulation0.534166667
SP.POP.7579.MA.5YPopulation ages 75-79, male (% of male population)HealthPopulation0.485833333
SP.POP.80UP.FE.5YPopulation ages 80 and above, female (% of female population)HealthPopulation0.5641666670000001
SP.POP.80UP.MA.5YPopulation ages 80 and above, male (% of male population)HealthPopulation0.48166666700000005
SP.POP.DPNDAge dependency ratio (% of working-age population)HealthPopulation0.4525
SP.POP.DPND.OLAge dependency ratio, old (% of working-age population)HealthPopulation0.504166667
SP.POP.DPND.YGAge dependency ratio, young (% of working-age population)HealthPopulation0.505833333
SP.POP.GROWPopulation growth (annual %)HealthPopulation0.438333333
SP.POP.SCIE.RD.P6Researchers in R&D (per million people)InfrastructureTechnology0.626
SP.POP.TECH.RD.P6Technicians in R&D (per million people)InfrastructureTechnology0.668888889
SP.POP.TOTLPopulation, totalHealthPopulation0.420833333
SP.POP.TOTL.FE.ZSPopulation, female (% of total)HealthPopulation0.415
SP.REG.BRTH.RU.ZSCompleteness of birth registration, rural (%)HealthPopulation0.20222222199999998
SP.REG.BRTH.UR.ZSCompleteness of birth registration, urban (%)HealthPopulation0.19555555600000002
SP.REG.BRTH.ZSCompleteness of birth registration (%)HealthPopulation0.295555556
SP.REG.DTHS.ZSCompleteness of death registration with cause-of-death information (%)HealthPopulation0.29
SP.RUR.TOTLRural populationEnvironmentDensity & urbanization0.3775
SP.RUR.TOTL.ZGRural population growth (annual %)EnvironmentDensity & urbanization0.40416666700000003
SP.RUR.TOTL.ZSRural population (% of total population)EnvironmentDensity & urbanization0.449166667
SP.URB.GROWUrban population growth (annual %)EnvironmentDensity & urbanization0.425
SP.URB.TOTLUrban populationEnvironmentDensity & urbanization0.40416666700000003
SP.URB.TOTL.IN.ZSUrban population (% of total)EnvironmentDensity & urbanization0.46166666700000003
SP.UWT.TFRTUnmet need for contraception (% of married women ages 15-49)HealthReproductive health0.259
ST.INT.ARVLInternational tourism, number of arrivalsPrivate Sector & TradeTravel & tourism0.5329999999999999
ST.INT.DPRTInternational tourism, number of departuresPrivate Sector & TradeTravel & tourism0.479
ST.INT.RCPT.CDInternational tourism, receipts (current US$)Private Sector & TradeTravel & tourism0.517
ST.INT.RCPT.XP.ZSInternational tourism, receipts (% of total exports)Private Sector & TradeTravel & tourism0.498
ST.INT.TRNR.CDInternational tourism, receipts for passenger transport items (current US$)Private Sector & TradeTravel & tourism0.467
ST.INT.TRNX.CDInternational tourism, expenditures for passenger transport items (current US$)Private Sector & TradeTravel & tourism0.5489999999999999
ST.INT.TVLR.CDInternational tourism, receipts for travel items (current US$)Private Sector & TradeTravel & tourism0.49700000000000005
ST.INT.TVLX.CDInternational tourism, expenditures for travel items (current US$)Private Sector & TradeTravel & tourism0.608
ST.INT.XPND.CDInternational tourism, expenditures (current US$)Private Sector & TradeTravel & tourism0.599
ST.INT.XPND.MP.ZSInternational tourism, expenditures (% of total imports)Private Sector & TradeTravel & tourism0.39399999999999996
TG.VAL.TOTL.GD.ZSMerchandise trade (% of GDP)Private Sector & TradeTotal merchandise trade0.434166667
TM.QTY.MRCH.XD.WDImport volume index (2000 = 100)Private Sector & TradeTrade indexes0.444545455
TM.TAX.MANF.BC.ZSBinding coverage, manufactured products (%)Private Sector & TradeTariffs0.27899999999999997
TM.TAX.MANF.BR.ZSBound rate, simple mean, manufactured products (%)Private Sector & TradeTariffs0.395
TM.TAX.MANF.IP.ZSShare of tariff lines with international peaks, manufactured products (%)Private Sector & TradeTariffs0.515
TM.TAX.MANF.SM.AR.ZSTariff rate, applied, simple mean, manufactured products (%)Private Sector & TradeTariffs0.40583333299999996
TM.TAX.MANF.SM.FN.ZSTariff rate, most favored nation, simple mean, manufactured products (%)Private Sector & TradeTariffs0.47333333299999997
TM.TAX.MANF.SR.ZSShare of tariff lines with specific rates, manufactured products (%)Private Sector & TradeTariffs0.369166667
TM.TAX.MANF.WM.AR.ZSTariff rate, applied, weighted mean, manufactured products (%)Private Sector & TradeTariffs0.435
TM.TAX.MANF.WM.FN.ZSTariff rate, most favored nation, weighted mean, manufactured products (%)Private Sector & TradeTariffs0.46083333299999996
TM.TAX.MRCH.BC.ZSBinding coverage, all products (%)Private Sector & TradeTariffs0.35
TM.TAX.MRCH.BR.ZSBound rate, simple mean, all products (%)Private Sector & TradeTariffs0.42700000000000005
TM.TAX.MRCH.IP.ZSShare of tariff lines with international peaks, all products (%)Private Sector & TradeTariffs0.41
TM.TAX.MRCH.SM.AR.ZSTariff rate, applied, simple mean, all products (%)Private Sector & TradeTariffs0.48
TM.TAX.MRCH.SM.FN.ZSTariff rate, most favored nation, simple mean, all products (%)Private Sector & TradeTariffs0.389166667
TM.TAX.MRCH.SR.ZSShare of tariff lines with specific rates, all products (%)Private Sector & TradeTariffs0.306666667
TM.TAX.MRCH.WM.AR.ZSTariff rate, applied, weighted mean, all products (%)Private Sector & TradeTariffs0.438333333
TM.TAX.MRCH.WM.FN.ZSTariff rate, most favored nation, weighted mean, all products (%)Private Sector & TradeTariffs0.495
TM.TAX.TCOM.BC.ZSBinding coverage, primary products (%)Private Sector & TradeTariffs0.24100000000000002
TM.TAX.TCOM.BR.ZSBound rate, simple mean, primary products (%)Private Sector & TradeTariffs0.441
TM.TAX.TCOM.IP.ZSShare of tariff lines with international peaks, primary products (%)Private Sector & TradeTariffs0.40083333299999996
TM.TAX.TCOM.SM.AR.ZSTariff rate, applied, simple mean, primary products (%)Private Sector & TradeTariffs0.42416666700000005
TM.TAX.TCOM.SM.FN.ZSTariff rate, most favored nation, simple mean, primary products (%)Private Sector & TradeTariffs0.330833333
TM.TAX.TCOM.SR.ZSShare of tariff lines with specific rates, primary products (%)Private Sector & TradeTariffs0.289166667
TM.TAX.TCOM.WM.AR.ZSTariff rate, applied, weighted mean, primary products (%)Private Sector & TradeTariffs0.368333333
TM.TAX.TCOM.WM.FN.ZSTariff rate, most favored nation, weighted mean, primary products (%)Private Sector & TradeTariffs0.291666667
TM.VAL.AGRI.ZS.UNAgricultural raw materials imports (% of merchandise imports)Private Sector & TradeImports0.385
TM.VAL.FOOD.ZS.UNFood imports (% of merchandise imports)Private Sector & TradeImports0.4725
TM.VAL.FUEL.ZS.UNFuel imports (% of merchandise imports)Private Sector & TradeImports0.3725
TM.VAL.ICTG.ZS.UNICT goods imports (% total goods imports)InfrastructureCommunications0.373
TM.VAL.INSF.ZS.WTInsurance and financial services (% of commercial service imports)Private Sector & TradeImports0.328333333
TM.VAL.MANF.ZS.UNManufactures imports (% of merchandise imports)Private Sector & TradeImports0.4125
TM.VAL.MMTL.ZS.UNOres and metals imports (% of merchandise imports)Private Sector & TradeImports0.47583333299999997
TM.VAL.MRCH.AL.ZSMerchandise imports from economies in the Arab World (% of total merchandise imports)Private Sector & TradeImports0.41916666700000005
TM.VAL.MRCH.CD.WTMerchandise imports (current US$)Private Sector & TradeImports0.5458333329999999
TM.VAL.MRCH.HI.ZSMerchandise imports from high-income economies (% of total merchandise imports)Private Sector & TradeImports0.46083333299999996
TM.VAL.MRCH.OR.ZSMerchandise imports from low- and middle-income economies outside region (% of total merchandise imports)Private Sector & TradeImports0.455
TM.VAL.MRCH.R1.ZSMerchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)Private Sector & TradeImports0.4175
TM.VAL.MRCH.R2.ZSMerchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)Private Sector & TradeImports0.38333333299999994
TM.VAL.MRCH.R3.ZSMerchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)Private Sector & TradeImports0.40666666700000004
TM.VAL.MRCH.R4.ZSMerchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)Private Sector & TradeImports0.41583333299999997
TM.VAL.MRCH.R5.ZSMerchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)Private Sector & TradeImports0.48416666700000005
TM.VAL.MRCH.R6.ZSMerchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)Private Sector & TradeImports0.38
TM.VAL.MRCH.RS.ZSMerchandise imports by the reporting economy, residual (% of total merchandise imports)Private Sector & TradeImports0.32666666699999997
TM.VAL.MRCH.WL.CDMerchandise imports by the reporting economy (current US$)Private Sector & TradeImports0.575
TM.VAL.MRCH.WR.ZSMerchandise imports from low- and middle-income economies within region (% of total merchandise imports)Private Sector & TradeImports0.22
TM.VAL.MRCH.XD.WDImport value index (2000 = 100)Private Sector & TradeTrade indexes0.4675
TM.VAL.OTHR.ZS.WTComputer, communications and other services (% of commercial service imports)Private Sector & TradeImports0.376666667
TM.VAL.SERV.CD.WTCommercial service imports (current US$)Private Sector & TradeImports0.590833333
TM.VAL.TRAN.ZS.WTTransport services (% of commercial service imports)Private Sector & TradeImports0.44583333299999994
TM.VAL.TRVL.ZS.WTTravel services (% of commercial service imports)Private Sector & TradeImports0.3175
TT.PRI.MRCH.XD.WDNet barter terms of trade index (2000 = 100)Private Sector & TradeTrade indexes0.301818182
TX.QTY.MRCH.XD.WDExport volume index (2000 = 100)Private Sector & TradeTrade indexes0.409090909
TX.VAL.AGRI.ZS.UNAgricultural raw materials exports (% of merchandise exports)Private Sector & TradeExports0.3775
TX.VAL.FOOD.ZS.UNFood exports (% of merchandise exports)Private Sector & TradeExports0.5425
TX.VAL.FUEL.ZS.UNFuel exports (% of merchandise exports)Private Sector & TradeExports0.45
TX.VAL.ICTG.ZS.UNICT goods exports (% of total goods exports)InfrastructureCommunications0.406
TX.VAL.INSF.ZS.WTInsurance and financial services (% of commercial service exports)Private Sector & TradeExports0.375
TX.VAL.MANF.ZS.UNManufactures exports (% of merchandise exports)Private Sector & TradeExports0.480833333
TX.VAL.MMTL.ZS.UNOres and metals exports (% of merchandise exports)Private Sector & TradeExports0.36666666700000006
TX.VAL.MRCH.AL.ZSMerchandise exports to economies in the Arab World (% of total merchandise exports)Private Sector & TradeExports0.4575
TX.VAL.MRCH.CD.WTMerchandise exports (current US$)Private Sector & TradeExports0.525
TX.VAL.MRCH.HI.ZSMerchandise exports to high-income economies (% of total merchandise exports)Private Sector & TradeExports0.475
TX.VAL.MRCH.OR.ZSMerchandise exports to low- and middle-income economies outside region (% of total merchandise exports)Private Sector & TradeExports0.42416666700000005
TX.VAL.MRCH.R1.ZSMerchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)Private Sector & TradeExports0.513333333
TX.VAL.MRCH.R2.ZSMerchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)Private Sector & TradeExports0.454166667
TX.VAL.MRCH.R3.ZSMerchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)Private Sector & TradeExports0.505833333
TX.VAL.MRCH.R4.ZSMerchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)Private Sector & TradeExports0.485833333
TX.VAL.MRCH.R5.ZSMerchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)Private Sector & TradeExports0.433333333
TX.VAL.MRCH.R6.ZSMerchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)Private Sector & TradeExports0.48416666700000005
TX.VAL.MRCH.RS.ZSMerchandise exports by the reporting economy, residual (% of total merchandise exports)Private Sector & TradeExports0.405
TX.VAL.MRCH.WL.CDMerchandise exports by the reporting economy (current US$)Private Sector & TradeExports0.589166667
TX.VAL.MRCH.WR.ZSMerchandise exports to low- and middle-income economies within region (% of total merchandise exports)Private Sector & TradeExports0.217
TX.VAL.MRCH.XD.WDExport value index (2000 = 100)Private Sector & TradeTrade indexes0.39916666700000003
TX.VAL.OTHR.ZS.WTComputer, communications and other services (% of commercial service exports)Private Sector & TradeExports0.41416666700000004
TX.VAL.SERV.CD.WTCommercial service exports (current US$)Private Sector & TradeExports0.5016666670000001
TX.VAL.TECH.CDHigh-technology exports (current US$)InfrastructureTechnology0.54625
TX.VAL.TECH.MF.ZSHigh-technology exports (% of manufactured exports)InfrastructureTechnology0.35125
TX.VAL.TRAN.ZS.WTTransport services (% of commercial service exports)Private Sector & TradeExports0.3575
TX.VAL.TRVL.ZS.WTTravel services (% of commercial service exports)Private Sector & TradeExports0.46166666700000003
VC.BTL.DETHBattle-related deaths (number of people)Public SectorConflict & fragility0.206666667
VC.IDP.TOTL.HEInternally displaced persons (number, high estimate)Public SectorConflict & fragility0.0
VC.IDP.TOTL.LEInternally displaced persons (number, low estimate)Public SectorConflict & fragility0.0
VC.IHR.PSRC.P5Intentional homicides (per 100,000 people)Public SectorConflict & fragility0.5608333329999999
VC.PKP.TOTL.UNPresence of peace keepers (number of troops, police, and military observers in mandate)Public SectorConflict & fragility0.0
WP_time_01.1Account at a financial institution (% age 15+)Financial SectorAccess0.0
WP_time_01.2Account at a financial institution, male (% age 15+)Financial SectorAccess0.0
WP_time_01.3Account at a financial institution, female (% age 15+)Financial SectorAccess0.0
WP_time_01.8Account at a financial institution, income, poorest 40% (% ages 15+)Financial SectorAccess0.0
WP_time_01.9Account at a financial institution, income, richest 60% (% ages 15+)Financial SectorAccess0.0
WP15163_4.1Mobile account (% age 15+)Financial SectorAccess0.0
WP15163_4.2Mobile account, male (% age 15+)Financial SectorAccess0.0
WP15163_4.3Mobile account, female (% age 15+)Financial SectorAccess0.0
WP15163_4.8Mobile account, income, poorest 40% (% ages 15+)Financial SectorAccess0.0
WP15163_4.9Mobile account, income, richest 60% (% ages 15+)Financial SectorAccess0.0
SCPSocial Contract ProductIndexSocial1.0
SCSocial ContractIndexSocial1.0
SCLSocial Contract LossIndexEconomic1.0

Adoption

What barriers can there be to adopting an simple, transparent, scientific approach that rebuilds economies reliably? It took Einstein’s 1905 Theory of Relativity 20-years to be accepted in the west

Adoption, the normal resistance to any change, is the elephant in the room that will slow TE’s acceptance similarly. Human nature explains that our professors, awarded Nobel laureates, experts, and schools have all written textbooks, authored articles, lectured, peer-reviewed one another – and all of it has been based on easily proven-failed theory

A job title makes no-one an expert, and the Swedish Central Bank’s Nobel Prize has awarded only unscientific theory ever since its inception in 1968. Fictions have vaulted non-experts and therefore non-leaders, into high positions as economic leads, and these people have been asked to create important policy and programs based on their mastery of their proven-failed theory (fiction). This is a serious miss, for academics and peer-review processes, that is going to require some hard introspection, explanation, and KPI-driven performance management to correct

As individuals, it’s not our fault that we didn’t understand all of the observations that govern responsible civics. We need training and we didn’t have data as well. Bloodletting and lobotomies were the highest forms of pseudo-science not so many years ago, and then those practices were discounted in a never-ending cycle of new learning and adoption

A simple new science like TE proves that leadership, education, and approach/processes have been sub-standard, and also harmful; bruising egos and besmirching the reputations of high-IQ, well-intended, and previously-esteemed researchers and teachers. In hyper-competitive mature capitalisms, there are compelling personal and professional reasons for faculty to reject, discount, or adopt-indirectly a new science only by their own explanations and non-standard terms

TE is a big challenge for existing social faculties because it is a computer science, which means faculties presently filled with thousands of math professors, are unqualified to teach and supervise TE

Given unlimited time, economics teachers will learn computer science, will update their skills and research, and assimilate the new learning while minimizing professional embarrassment

The problem with allowing adoption to take a normal course, is that TE is important and needed now – today. Universities, therefore, must minimize normal adoption delays so that a scientific approach can lift today’s dangerous social and economic collapses as quickly as possible

A 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 and Planning

Right Plans – not Macroeconomic Frameworks, (See 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 a meaningless term; Herbert Hoover’s capitalism created the Great Depression, while FDR’s capitalism monetized the abundant productions born of abundant opportunities to do so.

Social Contract is critical and causal to economic success or collapse in all economies and monetary system phases. 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 by design so monetary cycles must be actively managed

Hybrid Economies – As automation continues, governments must transition to a completely automated provisioning of our Good Lives. Sometimes, things we need must be free, and token-based should be there for some of the things we want

Economic Reset of 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[/vc_content_text][vc_content_text]

Transition Engineering

See a full explanation of “Who does What” at WAOH – World at our Hands Report

When unsustainable policies detriment the economy and population, businesses are impacted too. GDP reports hide productivity 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, we can simply create real opportunities – without war, as FDR’s policies did.

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 Worthwhile Industries 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[/vc_content_text][vc_content_text]

Engineering Worldwide Abundance

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Managing Mature Capitalisms

Transitions to scientific policy brings a strong strategic plan, great education, best-practice epistemology – in project and change management process, and inreporting

1837’s Great Depression was ended in the USA by a small population of 12-million Americans who re-invested their ten-times-increased Gold Reserves from the California Gold Rush. Opportunity reset that U.S. economy, from a Great Depression that was worse than the 1930’s Great Depression

These policy changes created the Industrial Revolution of the 1850s, and these 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, nor to prevent unsustainable policies that profit a few elites but 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

Maturity Models & TE-Mature Policy Book Transition Economics Collapse-trending Statistics among surveyed countries

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[/vc_content_text][vc_content_text]

Inequity stalls Growth and builds Debt

3d-te-8x5Transition 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

TASK ensures that Academic Curriculums teach Sustainable Policy only

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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 - Rate of Automation

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[/vc_content_text][vc_content_text]

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):

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

=

Education

+

Income Inequity Longevity Suicide Poverty

The SCP Report (Social Contract Product), adds the most beneficial financial measures to Social Contract:

Nations with high Social Contract Product (SCP) scores have advancing economies The SCP Report

=

Nations with higher exports per capital have advancing economies Export per Capita Trade Balance Debt

+

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.[/vc_content_text][vc_content_text]

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.[/vc_content_text][vc_content_text]

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 WAOH – World at our Hands Library. 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.[/vc_content_text][vc_content_text]

How to Read TEP Charts

Policy

How to read TEP Survey Charts and to assess Causality

Debt

TEP 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

Export % GDP

vs 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 

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

Sweet Spots

Financial 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

IMF Financial Index for all CountriesIMF Financial Index for High IncomesIMF Financial Industry Index

+- Zero

We often see benefit in changes both positive and negative

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 Messaging

TE 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 line 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.

US Senator Richard Black

To avoid nuclear winter, Col. Richard Black is a US Senator who explains honestly the dangerous game that a global military complex with global media coercion plays today

  • “We use unlimited force and violence while controlling global media to erase discussion of what’s truly happening.”
  • “We and NATO do not care how many of our proxy Ukrainian women, children, or young men are killed.”
  • “Russia’s appeals for peace were ignored until it was forced to conduct an obviously very cautious special operation against brother slavs.”

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.[/vc_content_text][vc_content_text]

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 – or Spring, Summer, Fall, and Winter. The black line in the chart below notes opportunity within an economy – as it changes ; higher in booms and lower in depressions.

Great Depressions have come every 60-years in capitalist societies; or sooner, if inequality failed to be 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.

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 …

Longwave K-Wave Economics 23510_a_large

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.[/vc_content_text][vc_content_text]

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 Wages

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 Germany’s own citizens, was the failing that undid any benefits or accomplishments. This is seen in the downfall of most failed civilizations through 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 homeownership

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 took place in a mature capitalism, as did the French Revolution, Russian Revolution, Age of Enlightenment, and the transition from Monarchies. The fall of most empires through history can be explained by that group’s adoption of unsustainable policies …

Yes, of course we are in a Great Depression today – there is a “problem” to solve. Wealth Redistribution Policies are needed urgently in housing (perhaps by 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.

Canada Federal Election 2019

Vote only for Scientific Policy – anything less is Socially Irresponsible

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 2019’s October’s Canadian Federal Election very clearly …[/vc_content_text][vc_content_text]

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 – and, in our FIAT system, money is printed from thin air in many cases also. Financial Inequity costs $4 for every $1 spent to maintain it.

Have you noticed that we respond very differently to the terms Safety Net and Welfare? Why do you suppose this is? Governments print money and taxing the rich is proven to build the greatest economy in history too, so why do we balk at Universal Basic Income solutions that protect our national productivity and provide for a safety net when needed?

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. poor_rich_middle_class-7 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.[/vc_content_text][vc_content_text]

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 project in 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 and leadership 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” is Leadership and what we need,  Democracy is just “Government by the People”.

Leadership 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. Doing this has proved that society and economy are inseparable – and that social contract must come first as well. In science, Mankind is our Business – and first priority.[/vc_content_text][vc_content_text]

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 Maturity Models and TE-Mature Policy

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