Jump to “How does it work?” here

A Quality Education

TASK is The Academic Civic Science Challenge (tacsc). TASK rates academic universities and institutions by National Advance

This assures that their curricula are creating experts, leaders, and successful societies

The Annual Universities TASK Report ranks universities from highest to lowest by their record of teaching quantitative highest-probability-of-success science and approach (epistemology)

TASK showcases Universities that govern all faculties with a Civic Science Program and Standard of Research (see CS-BOK). Civics faculties include Economics, Business, Finance, Law, Government, Education, and Social Science, but most engineering and natural science faculties mandate Civics electives as well

Transparency

Source statistics for all TEPs are available online so anyone can confirm or build charts for the same results. All Data here must be properly cited and summarized credibly by Edgar Alan Poe’s famous truism (with my Dad’s twist):

Believe nothing you hear, half of what you read, and everything you see

How does a Hard Science in evidence-based Civics Work?

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

Nottingham’s report is compelling because it shows conclusively that 13 social problems are caused by financial inequality in 20 surveyed countries.

One sanity check for any civic science, therefore, is that it must confirm financial inequality and social problems have a similar relationship. Both in the countries proven by the Wilkenson Report, and in every other country too.

To prove that the statement: “Financial Inequality causes (is causal to) Social Problems” is a true statement in every nation, we have to confirm it in 220 countries, in high/medium/low-income nation comparisons, in democracies/monarchies, Latin/Asian/Pacific/African Regions, and so on.

Surveys of 13 social problems in 18 countries might sound like enough evidence to convince anyone, but what other information is available to bolster this report’s claim of “Causality in ANY society”? Which other measures can confirm that financial inequality reliably creates social problems – and that correcting the problem improves economies too?

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

Trade Surplus nations (with a positive Trade Balance = Export – Import) are grouped to the left of the chart, while Trade Deficit nations are grouped to the right – as seen in Income Inequality nations

Why are Trade Balance AND Financial Inequality valid determiners of Social Problems?

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

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

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

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

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

What built that boom economy? Can you tell?

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

So, the chicken-and-egg question of “Does money in the hands of many citizens create a strong economy?” has an answer. Yes.

Does putting money in the hands of a few wealthy oligarchs create a strong economy – as things are today and in the 1920s (per Wealth Theory, Trickledown, and Transition Economy)? No.

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

A Context-Driven Approach

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

Important to any presentation of statistical information – is Context. Presentations must compare you to successful nations only, they must use recent accurate data, and they must present only credible measures. A credible measure is a measure that is proven highly causal to creating an advancing economy (see “TEP Scores” below). Context in history is relevant also; Debt was forgiven for most European countries in the 1930s from 25% to 250% of their GDP For example:

Q1: Is a 3% Salary increase good, bad, or normal? No, it’s bad. A 3% Salary increase is embarrassing in fact.

Why? Since the 1980s, individual and household salaries haven’t budged. It would take a 100% increase in Salaries today, just to come back into balance with where salary levels were in the 1970s.

Q2: Are stock market ups and downs meaningful? No.

Q3: Are GDP lifts important? No.

See Credible Measures explained in the Proofs of the World at our Hands Report

Confirming Causality with Transition Economics

After researching Trade Balance, we could move next to look for causality in “Household Savings”, or randomly to any one of the over 1,500 other indicators (measures) which every country already collects annually. But, a “guesswork method” is labour-intensive, imprecise, and often unrepeatable. In short, it’s unscientific.

Doctor Wilkenson’s survey and team couldn’t look at all countries, as he wanted to, because of the high workload mandated by their manual survey approach.

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

Yes. These are the questions answered, and the problems solved, by Transition Economics (TE) every day.

Finding the same conclusions using TE

The Nottingham study above is explained by Transition Economics with the “Social Contract” report. Social Contract is an index of social indicators already collected in 180 countries at present. TE builds the frequency distribution chart (TE Proof or TEP Chart) on the right, based on their research, surveys, and data.

How does the Nottingham “Social Problems Chart” look using Transition Economics’ causal Social Contract measures?

Based on the Social Contract’s 179 country survey, the distribution of advancing and collapsing nations group together – from the chart’s left-most advancing nations to its right-most collapsing nations – identical to the distribution of Nottingham’s National Social Problem findings report. You can see from a (simple) Threshold Report below, that Canada and France’s collapse signals were a judgment call as in 2019 they were both marginally collapsing and just barely reaching the status of Advancing. Note that Nottingham’s report presented 2012 social stats.

– Important Learning –

ANY Causal mix of Social Indicators (indexes whose frequency distribution amplitudes equal 1.0) will show this chart very similarly. We ran the same report for the following Social Contract report as a validation (using MEMS), and I could have run a dozen similar Social Contract indexes the same.

Why build more than one Social Contract Index? Because we have statistics back to 1970 for 179 countries with the first list of three indicators above, but – we only have statistics to the year 2000 for 180 countries that reported the six indicators in the second report.

Indexes with more indicators are best, but data is not always available to support our need for historic trend and context validation. When a report shows Social Contracts have improved in nations where conditions diminished, that report is still useful for noting events, peaks, and valleys in time – but cannot be a truthful Causal report.

Note: Countries further along a Tytler Cycle, that have grown prosperous and lazy without responsible Civics training, are vulnerable to falling prey to an Ideology War easily. Whereas nations that have been through real wars and real adversity, recognize the importance of nationalism and human rights, and quickly reject Open Borders and Anti-family values or depopulation indoctrinations. Canada or Western Europe versus Croatia or Russia – are examples of this point.

Canada puts their citizens in homeless camps while protecting Globalist Open Borders policies, puts tampons in public men’s washrooms, and suspends its students for not calling males female; while Italy, Croatia, or Russia reject obvious indoctrination and insanely foolish sheep-like followers.

90% of (48 of 54) large democracies are collapsing in the West, while citizens battle DEI laws in the workplace and approach World War III. And still, we can’t vote for Advance – because its not on our ballot cards.

These are the devastating, easily corrected Social Problems that hinder Human Advance – that TE corrects.

Important Measures & Causality are measurable
with TEP Scores and Context Validation

We know that the Transition Economics Advance and Collapse survey results are accurate because we validated the Social Contract measure to have a TEP Score equal to 1.0, and we were also able to run through a Context Validation Process with the Wilkinson Report and the other supporting historical charts above.

Click here – to read our Science of 70% tutorial on how to recreate any TEP chart for yourself

Click here – to view the indicators that make up the Social Contract Index

Click here – to read an advanced explanation of how to read TEP Charts

Click here – to view 945 other sortable and filterable Indicator TEP Scores

Click here – to view the WAOH Library’s Data Science webpage, for many more TEP Scores, Indicators, and Indexes

Click here – to sign up for Civic Scientist training and certifications, so that you, and your teams, can become experts of Civic Science too

The Social Contract Index TEP Chart

A Causal TEP chart like Social Contract (SC), explains that countries with low scores collapse reliably – 100%, while countries with a strong score advance reliably – 100%.

We call Social Contract “Causal”, or a “Causal Indicator” because its TEP Score is a perfect 1.0. A TEP Chart’s “Score”  subtracts the highest frequency distribution (FD) Y-value (for SC it is 100%) minus the lowest Y-axis value – 0%. 1.0 – 0 = 1 .0.

TEP Scores are frequency distribution amplitudes.

A score of 1.0 indicates the highest possible causality score – as confirmed by the reporting of 176 countries (in this Social Contract report).

We can also rank TEP Charts that share a score of 1.0, by counting the total number (or %) of advancing nations in their highest value range.

Now, we have a numeric approach to finding both causality – and causal measures, like Wilkenson’s Social Problems above.

So, we no longer have to rely on Classic Economics’ hit-and-miss guesswork, logic, theory, consensus opinions, modeling, or mathematic projection.

Adding more measures and collections

Can we add measures, to those measures that are already currently collected by every nation today? Yes, of course.

Professor Wilkenson’s team struggled to collect obesity, suicide, and other stats in just 20 nations. When these stats collections are budgeted, staffed, reported country-by-country, and then consolidated for 220 countries, perhaps also by income and wealth quintile, then TE’s TEP Reports can zero in on problems and solutions very reliably.

Every problem is solvable, and the first step to solving a problem is finding out that you have one. Everything measured can usually be improved.

TE allows us to drive economies to success consistently

With a numeric approach, we can automate the computation work; we can use Machine Learning techniques to quickly find and compare every variation and combination, of indicators and indexes that yield TEP scores of 1.0 – using Social measures, Economic measures, or a combination of both. We have used this approach to discover TEP Reports that are so causal that they group 38 (of 200) Advancing countries at their highest frequency distribution range.

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

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

Socioeconomic Measures – are mixed measures which are a combination of the two – Social Contract Product and the United Nations’ Happiness Index – are two examples of this

Basic Principles:  Economies are High Transaction Systems

Trillions of daily transactions means that “highest-probability-of-advance” policies WILL build advance reliably in any economy, and the same is also true in reverse – “highest-probability of collapse” policies will collapse economies reliably.

Advance Policies – explain FDR’s Greatest Economy in History – and …

Collapse Policies – explain the GOP’s Neoliberalism Wealth Theory policies of the 1920s, which created the Great Depression in just a handful of years

Adoption Delay

What barriers stop the adoption of a simple, transparent, scientific approach that builds strong economies reliably?

Many of us don’t realize that it took Einstein’s 1905 Theory of Relativity, 20 years to be accepted in the West.

Adoption, the normal resistance to even essential change, is the elephant in any room that will slow TE’s acceptance similarly. Human nature explains that our vaulted Professors, awarded Nobel Laureates, Experts, and Academies have all written textbooks, authored articles, lectured, and peer-reviewed one another – and all of their labour has been based on easily proven-failed theory.

A job title makes no one an expert, and the Swedish Central Bank’s Nobel Prize for Economics 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 policies and programs based on their mastery of a 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 learn responsible civics. Civics takes training, and in the past, we didn’t have access to data from 220 countries as we do today.

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 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 whole faculties to reject, discount, or adopt a new science only by their explanations and 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, update their skills and research, and assimilate this new science while minimizing any professional embarrassment.

The problem with allowing adoption to take a normal course today is that TE is important. Transition Economics is needed immediately – to save lives, stop wars, and correct collapse. 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.

Civic Science is exceedingly simple:

When you Fund Advance Policies and Don’t fund Collapse Policies, you are mathematically guaranteed to build a successful economy and society

A professional engineering office would re-phrase this to say: When you professionally Change Manage and Performance Manage your country (region by region) to improve your Advance Policy measures, then your Economic Advance is Guaranteed

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

In Summary:

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

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

 

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Civic Science’s Knowledgebase

The hunt for causal reports never stops.

The World Inequality Database (WID) has been working on an indicator for wealth inequality for years.

The Palma Index (10% highest incomes divided by 40% lowest incomes) appears promisingly causal but inconclusive with just 44 countries in their surveys to date.

We have very recently found a causal report for Adult Wealth Inequality – in Credit Suisse’s Mean Wealth per Adult ($US) Report. This means that “Wealth per Adult” can be counted among the other important measures of collapse or advance for any country. Note, however, that the “sweet spot” in some Adult Wealth TEPs shows that causality decreases (drops to 70% from 100% advance) for the 13 countries with wealth over $274.9k per adult. The report appears causal up to these wealth scores.

So, TE uses indicators that are known to be causal across almost 200 countries – like Trade Balance, Domestic Savings, and similar.

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

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

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

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

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Confirm any report here for yourself

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

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

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 records and 60 years of data too. 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’s share of meaningless indicators like GDP, Disposable Income, Unemployment, Supply & Demand, Consumption economies, and so on.

High TEP-Score indicators and indexes have a high amplitude – a large difference between minimum low and maximum high values. Alternatively, statistics whose TEP surveys have small amplitudes, have little influence on economies. TE Scores average the individual TE amplitudes of all TEP surveys – see a sheet of TEP Charts in the image to the left here Are you curious to know which reports are better than the United Nations HDI Report – for example? There are a dozen better indicators – and this technique can help improve future HDI Reports as well

Finding Data and Creating TE Causality Scores

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

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

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

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

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

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

Click here to learn how to read TEP Charts

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

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

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

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

Data Quality, History, and Consistency

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

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

Data Quality – Much time and effort is taken to gather and forward measures reliably. Embarrassing stats such as suicide, homelessness, wealth inequality, and infant mortality rates can be under-reported in many countries. The hiding of stats by embarrassed countries tends to be consistent and ubiquitous. If one nation is hiding or misreporting a statistic, there is a higher probability that all nations are hiding their true values for that indicator as well.

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Curated Data and MEMS Dashboards

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

WAOH and MEMS are presently the only online source of Transition Economics data.

See Data Science at WAOH

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

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

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

These web-based tables permit us to resort them by column easily, and this analyzes important indicators and combinations straightforwardly for anyone.

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

 

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

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

ACT Political Parties

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

 

 

 

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Threshold Analytics

We use Threshold Analytics within MEMS AI, to determine if nations are collapsing or advancing. Then we drive advance forward with policies that are proven to advance any economy AND society.

Threshold Analytics adds more causal indicator comparisons and opportunities for discussion. It also ensures that no opportunities can be overlooked. See an example of TA in our Case Study of international Constitutions.

CSQ Research’s Constitutional Case Study shows a list similar to the following, for every large-population nation’s overall Collapse and Advance status.

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

 

Transition Economics empirically diagnoses national problems, and then fixes problems reliably in Change Projects that can professionally correct them with priority.

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

 

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Summary

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

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

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

This simple approach ensures that:

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

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

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

All of these curricula are explained in detail in The Civic Science Book of Knowledge (CS-BOK).