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PGDA Working Paper No. 96 http://www.hsph.harvard.edu/pgda/working.htm
The views expressed in this paper are those of the author(s) and not necessarily those of the Harvard Initiative for
Global Health. The Program on the Global Demography of Aging receives funding from the National Institute on
Aging, Grant No. 1 P30 AG024409-06.
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Title
Reproductive Health Laws Around the World iii
Author, Degrees and Affiliation
Jocelyn E. Finlay, PhD, Harvard Center for Population and Development Studies, USA
David Canning, PhD, Department of Global Health and Population, Harvard School of Public
Health, Harvard Center for Population and Development Studies, USA
June Y. T. Po, MSc, Department of Global Health and Population, Harvard School of Public
Health, Harvard Center for Population and Development Studies, USA
Corresponding Author
Jocelyn E. Finlay, Research Scientist, Harvard Center for Population and Development Studies,
9 Bow St, Cambridge, MA 02138, USA. Tel: 617-372-735; Email: jfinlay@hsph.harvard.edu
Running head
Reproductive Health Laws
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ABSTRACT
We develop an index of reproductive health laws around the world. Laws regarding abortion, contraceptive pill, condom, intrauterine device, and sterilization are detailed for 186 countries from 1960 through to 2009. Using qualitative information dating from the 1960s, we code information on reproductive health laws around the world into panel data. In this paper we summarize the indexation of the laws, detailing the sources and methodologies we used to create the index. We show changes in the laws over time, and compare laws across countries. In addition, we demonstrate the potential use of the panel data by exploring the differential liberalization of reproductive health laws across country-level socioeconomic factors. We show that countries with more liberal abortion laws associated with higher income per capita, higher levels of female education, and lower fertility rates.
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INTRODUCTION
During the 1960s and 1970s there were extensive efforts to catalogue the legal standing of abortion, contraceptive pill, condom, intrauterine device (IUD), and sterilization around the world. With the explosion of population growth rates and the emergence of modern contraceptive technologies, the legality of abortion and contraceptive methods became an important item on the reproductive health agenda. Studies of reproductive health laws across countries and over time were of high interest throughout the 1970s [1,2,3,4]. Population policies and the agendas of the Population Council and International Planned Parenthood Federation relied on understanding the laws surrounding contraception to enable implementation of their various programs.
However, with the emergence of HIV/AIDS in the 1980s, HIV/AIDS related research took precedent in the new reproductive health agenda and placed critical examination of laws surrounding abortion and contraception by the way-side.
In this study, we revisit the cataloguing of the reproductive health laws around the world.
Reproductive health laws vary widely around the world [5]. Over the past 50 years, some countries, for example Argentina and Ghana, have changed considerably in their reproductive health laws. In other countries such as Bangladesh, Ireland, Kenya and Senegal, their abortionrelated laws have remained unchanged. Some former colonies remain conservative in their laws while the colonial power liberalized laws. For example, Senegal remained strict in its abortion laws after gaining independence from France in 1960, allowing it only on the grounds of saving a mother’s life, whereas France legalized abortion upon request in 1975. Religious majority has some influence over the laws, such as in Egypt, where 82% of population reported being
Muslim, but not always as one might expect, as it has over 75% liberalization in its pill and condom-related laws and 14% liberalization in its abortion laws.
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The database of reproductive health laws presented in this study is based on a range of qualitative and quantitative sources to construct a global panel of indicators detailing the laws on abortion, contraceptive pill, condom, IUD, and sterilization from 1960 to 2009. This database can contribute to our understanding of the role legal changes had on fertility changes since 1960.
Understanding the legal environment on women’s rights to reproductive health after the
International Conference on Population Development in Cairo 1994, when many countries brought forward new population and family planning policies may explain different policy implementation across countries at the time.
Furthermore, understanding the role of legal changes play in access to reproductive health services is an integral step in helping women and couples achieve their desired family size and control their timing and spacing of births. Moreover, enabling safe, effective and legal access to contraception and abortion will help reduce the number of unintended pregnancies and rate of maternal mortality and morbidity from unsafe abortions.
In the reproductive health and demography literature much has been written on the effects of reproductive health policy on fertility outcomes. [6,7,8,9,10,11,12,13,14,15]. Fierce debate surrounded the magnitude of the contribution [7,16,17,18] reproductive health policy, access and use have in shaping fertility decline. Pritchett argued that family planning programs on fertility is largely ineffective, whereas Bongaarts submitted that because programs tend to be strongest in countries with low wanted fertility, the net effect is offsetting and unwanted fertility did not decrease on average[7].
A recent example comparable to our efforts to index the reproductive health laws around world, is the work by Ross and Stover [19,20] who have constructed a Family Planning Effort Score. To create this score, the authors interview key informants in 82 developing countries using a 125item questionnaire. The questions fall into four main categories: policy and stage setting activities; service and service related activities; evaluation and record keeping; and methods of
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accessibility and availability. We view our approach as complementary to Ross and Stover’s
[19], and each provides unique and valuable information for population health policy makers.
Our approach is to rely on written text and documented information rather than key informants as Ross and Stover [19] did. We also restrict our index to itemize the reproductive health laws rather than the broad array of categories condensed into the Family Planning Effort Scores. We built a panel dating from 1960 to 2009, rather than the snapshots at intermittent years from 1972 through to the present, repeating their survey over the years 1972, 1982, 1989, 1994, 1999 with the most recent survey in 2004 [20].
In this paper we detail the methods we use to compile the reproductive health law index, and discuss the sources for the data. We explain how we construct the index of reproductive health laws using these data sources. We then provide some analysis of the index showing how the laws vary across country, according to religion, geographic region and colonial origin, and within countries, according to mean years of schooling, income per capita, and fertility rates. We then provide some country specific examples of how the legal changes came about and the subsequent observations on fertility. We aim to fill part of the gap by cataloguing the actual laws on such a scale across time and countries, and across methods, which has remained neglected since the
1980s.
METHODS
Data Sources
To chart the changes in reproductive health laws, we restrict our sources to what we consider seminal catalogues of reproductive health laws around the world. Data for the abortion law index is generated from information summarized by the United Nations Population Division (2002).
The data for the contraceptive laws is based on the Law and Population Monograph Series 8 and
17 prepared by Stepan and Kellogg [3] and subsequent publications from Tufts University
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Fletcher School of Law and Diplomacy’s Law and Population Program [3] and the Annual
Review of Population Law [1]. Data for the voluntary sterilization laws comes from publications by Stepan and Kellogg [1], Ross, Hong and Huber [5] and Boland [21].
Abortion Policies: A Global Review (2002)
United Nations Population Division released a report in 2002 on Abortion Policies: A Global
Review[22] , which presented country profiles of national laws and policies concerning induced abortion and the context within which abortion took place at the end of the 20 th
century. The profiles included developed and developing countries as of December 31, 1999. The report based its source on the Population Policy Data Bank maintained by the Population Division. The country profiles catalogued abortion policies on seven grounds on which abortion was permitted.
These included: “To save the life of the woman”, “To preserve physical health”, “To preserve mental health”, “Rape or incest”, “Fetal impairment”, “Economic or social reasons” and
“Available on request”. It noted additional requirements such as report of psychological and social problems by the woman, counseling before abortion is performed, and whether abortion must be performed by a physician in a public or private health institution. More importantly, the profile provided a descriptive summary of the history of abortion policy development from 1960 to the present. For example, in 1989 the Albanian government expanded the grounds for legal abortion to include cases of rape or incest and in 1991, up to 30 medical indications. With such information, we were able to quantitatively input the exact years of legal changes in the panel data set. The laws are assumed to remain the same in subsequent years until further information indicates otherwise.
Law and Population Monograph Series 8 and 17 (1974)
Another major source of information was the Law and Population Monograph Series 8 and 17 prepared by Stepan and Kellogg[3]. The series were a thorough and systematic compilation of laws on voluntary sterilization and contraception from legal texts of more than 60 countries. It
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provided country specific examples of jurisdictions which specifically authorize or prohibit voluntary sterilization, with non-restrictive or restrictive character from civil law countries, common law countries, and socialist states of Eastern Europe. Second part of the monograph tabulated details within each country under four main categories: “no provisions on voluntary sterilization (therefore permitted)”, “specific provisions”, “criminal law applicable to voluntary sterilization” such as citation to penal codes, “Moslem religious law”.
The 17 th
monograph dealt with laws on contraceptive methods specifically on contraceptive pill, condom, and IUD. In the country profiles, it provided qualitative descriptions on “imports and manufacture”, on “condoms”, on “pills”, on “IUD”, and on “commercial advertising”, “publicity for family planning”, “government policy”, and “miscellaneous”. It provided exact years where laws were enacted or repealed regarding manufacture, importation and sale of contraceptives and regarding insertion of IUD by medical professional, which are captured in the panel data.
The following sources based most of their information and structure on Stepan and Kellogg’s work and expanded it to more countries and later years.
Survey of Contraceptive Laws: Country Profiles (1976)
The UNFPA Survey of Contraceptive Laws: Country Profiles, checklists and summaries [23] was published after widespread interest at the 1975 meeting of International Contraceptive Study
Project. The data include information up to March 1976.The report covered contraceptive laws of 140 countries, expanded from 60 countries in the monographs by Stepan and Kellogg. It also contained a similar tabulation as Stepan and Kellogg on the level of restrictions under each category.
The Legal Handbook on Contraception, Voluntary Sterilization and Abortion (1976)
Another source built from Stepan and Kellog monographs was The Legal Handbook on
Contraception, Voluntary Sterilization and Abortion [23], prepared by the Law and Population
Programme at the Fletcher School of Law and Diplomacy, Tufts University. The material in the
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Handbook provided cross-sectional data up to November 1975. It provided information on laws on contraception, voluntary sterilization and abortion of 135 countries.
Under contraception, it describes qualitatively: government policies that provide favorable or unfavorable conditions such as sponsoring or forbidding family planning programs; importation of contraceptives for the purpose of contraception or as prophylactics; manufacturing of contraceptives; sale of condoms; sale of contraceptive pills, which had information on location of sales such as at vending machines or at registered pharmacies and other requirements such as prescription; information on IUD; contraceptive advertisement; transportation of contraceptives.
Under voluntary sterilization, it provided information where available, on specific legislation or regulations and applicable criminal law from penal code.
Under abortion, it provided legality under the penal code. If legal, then there was description of abortion permitted under following conditions: medical, eugenic, humanitarian, socioeconomic and elective. In addition, descriptions of terms of imprisonment or fines were provided when penal code was violated.
The second part of the Handbook contains a checklist that provides, in detail, the status of legality on the categories mentioned above as “prohibited”, “restricted” or “no restriction”, with additional categories such as “authorization required”, “location of sale”, “prescription required” where appropriate. The cross-sectional data from the Handbook provided a start date in the panel dataset where these categories were legally permitted for abortion, contraceptive pills, condom,
IUD, sterilization. The policy is assumed to remain in the same legal status in subsequent years in the panel dataset until further information available indicated otherwise.
Voluntary Sterilization: An International Fact Book (1985)
Ross, Hong and Huber assembled the Voluntary Sterilization: An International Fact Book in
1985[24] with the purpose of encouraging governments and non-governmental organizations to include or extend quality voluntary sterilization services in their health programs. In its chapter
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on Laws and Regulations, the handbook described the principal bodies of law as Islamic Law, the English Criminal Law, the Indian Penal Code of 1860, and the French Penal Code. The factbook contained a table of legal status of voluntary sterilization for 37 selected countries with the years of known important changes given. It had detailed information of requirements for sterilization such as consent by someone other than acceptor, minimum age for women, minimum number and sex of children, among other specifications.
Annual Review of Population Law (1974 - )
Lastly, a major source for the panel data was the Annual Review of Population Law edited by
Reed Boland and produced jointly by the Harvard Law School, the United Nations Population
Fund, and more recently, under the auspice of the Harvard School of Public Health. In addition,
Boland wrote summaries on sterilization laws in a chapter of Contraceptive Sterilization: Global
Issues and Trends in 2002 updating the Stepan publication on sterilization. They contained summaries and excerpts of legislation, constitutions, court decisions and other official government documents from every country in the world on population policies, reproductive rights, reproductive health and other related topics. The period covered by the database is from
1974 to present. The review captures the laws and conditions on abortion, with the dates which the laws were enacted, in its official languages or in English if available. It lists by country, a subject line describing the content of the law and summary of the content of the law, for example, “information to public on contraception”, “A law passed 7 May 1975 reads: the
Minister of the Interior shall ensure that the public receives information on contraceptive methods” and reference “Law No. 177 of 7 May 1975 (Lovitdende A, p. 575), Section (11),
Subd. (4), reported in 27 IDHL, No.1 (1976), p.111.”Each report describes a provision or law enacted at a specific date, providing detailed descriptions and references of changes..
Data Code Description
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In Table 1 we summarize how the laws were coded. Not all categories of the reproductive health laws can be defined as illegal/legal and shades of legality are taken into account and explained below in detail. We construct a country-year panel for 186 countries from 1960 to 2009.
Abortion Laws
To construct the abortion law index we classify seven legal grounds for legal abortion based on
UNDP’s system: “to save the life of the woman”; “to preserve her physical health”; “to preserve her mental health”; “consequent on rape or incest”; “fetal impairment”; “economic or social reasons”; and “available on request”. When an abortion is legal upon request, we assume it is legal for the other reasons if this is not explicitly stated.
These broad categories are not comprehensive descriptions of abortion law. Often legal grounds for abortions depend on the duration of gestation. In some countries more than one doctor’s adjudication or a husband's consent is required. In federal systems, abortion laws sometimes differ across regions within a country. In this case the law that covers the majority of the population, if one exists, is used to classify at the national level.
In many countries there is a divergence between law and practice, with abortions being widely available despite being technically illegal, or vice versa. We code according to the law in place rather than its enforcement or the practical availability of abortion.
Contraceptive Pill, Condom, and IUD Laws
Legal data on contraceptive pill is sourced from the Law and Population Monograph Series [3] published by the Fletcher School of Law and Diplomacy at Tufts University.
One of the key distinctions made in the legal data is the availability of the pill as a contraceptive versus a prophylactic. Thus information from other sources may indicate that contraception is available, it may be that it is just available as a prophylactic and not as a contraceptive. Similar to
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our abortion index, we take information from the laws de jure , rather than considering actual access and use, and thus there may be disparities between use and the law.
To identify variation in the laws across time and across countries, different categories of legality for the pill, were applied: sale purpose, sale location, prescription requirement, subsidy, commercial advertising. This is summarized in Table 1 with the ordered values increasing to reflect increasing liberalization.
Voluntary Sterilization
Information regarding the voluntary sterilization laws are taken from two principal sources
[21,24]. The coding is multinomial across four ordered categories (Table 1) In many developing countries, the legal status of voluntary sterilization is unclear. In this case, we consider that sterilization will be available, since it is not illegal, but it will not be promoted and thus ranks lower than the case when it is legal for contraceptive purposes.
In Table 2 we summarize the indexed laws showing the values in 1960 and 2000. The entire panel is annual from 1960 to 2009 available on request. But we only show the two years here for illustrative purposes (and a ten year panel printed in the appendix).
Figure 1 summarizes the existing database. It shows the global average trend of the percentage of the maximum possible liberalization from 1960 to 2009.
Reproductive Health Laws Across Socioeconomic Factors
To demonstrate the applications of the reproductive health law database, we added socioeconomic factors from various sources to explore the associations and trends of reproductive health laws by income per capita, fertility rate, education, religion, colonial origin and region.
Income per capita data is sourced from the Penn World tables version 7.0 [19] using the natural log of trade adjusted income per capita in 2005 International Dollar as a continuous variable.
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Fertility rates are taken from World Development Indicators [25], where average fertility rate of each country by year is available as a continuous variable.
The data on mean years of schooling is taken from the Vienna Institute of Demography (VID) and the International Institute for Applied Systems Analysis (IIASA) World Population Program
[26]. The data is available by country every five years. We interpolated the educational variables, constructing average data points within the range of the five year data.
The Quality of Government (QoG) Dataset hosted by the University of Gothenburg [27] provides data on religion[28,29,30].The QoG time-series data version provided four continuous variables on the percentage of population in 1980 that identified as “Catholic”, “Muslim”,
“Protestant” and “Other religions”.
Colonial origin of countries, also from the QoG Dataset [27,31], were categorized into “Britain”,
“France”, “Spain”, “USSR”, “Others” and “Never colonized by a western oversea or USSR”.
Countries that were coded with “USSR” as colonial origin in actuality were countries under
Soviet occupation, which included Commonwealth of Independent States, Soviet satellite states, countries annexed to Soviet Union and countries occupied by the Red Army, including Romania and North Korea.Countries in the “Others” category are countries with more than one colonizers in history. There are countries that were partially ruled by multiple colonizers at the same time, such as Cameroon governed by France and United Kingdom from 1919 to 1960-1961 or sequentially, such as the Philippines under Spanish rule from 1565 to 1898 and briefly under
American rule. There are countries that gained independence or reunited from separate states between 1960 to present, that have data only since their independence. Data from the years prior to independence are taken from data of the colonizing countries such that a complete panel data is created. For example, Slovenia was found in 1991. Data prior to 1991 was taken from 1960-
1991 Yugoslavia data. Similarly, this treatment is repeated for other Yugoslavia predecessor
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countries, USSR predecessor countries before 1991, Ethiopia before 1993 and Germany 1960-
1990.
Regions are categorized as “Africa”, “East Asia/Pacific”, “Latin America/Caribbean”, “OECD-
Europe” and “Middle East/North Africa”
These socioeconomic variables were combined with the reproductive health laws data by country and by year.
Statistical Analysis
The associations between the liberalization of reproductive health laws and socioeconomic factors were analyzed using ordinary least square regressions with indicator variables created for colonial origin, and geographical region. Where continuous variables were available, we included a one year lag in the regression models. We further accounted for year fixed effects and country fixed effects where appropriate. Figures of trends by reproductive health laws were created by pooling all countries, taking the mean liberalization score by socioeconomic factors of interest and plotting it by year on the x-axis and percent of maximum liberalization score on the y-axis.
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RESULTS
Applications of the Reproductive Health Laws Database
We explored the average global trends from 1960 to 2009 with percent liberalization of laws on abortion and four contraceptive methods: contraceptive pill, condom, IUD, voluntary sterilization, separately by income per capita, total fertility rate, education, religion, colonial origin and region. In Figure 1, we see that abortion and contraceptive-related laws were liberalizing on average over time. In Figure 2 we see that High Income countries liberalized abortion laws at a faster rate than countries in lower income groups. This is not the case for Pill,
Condom, IUD and Sterilization, however, where each income group tends to liberalize over time relatively equally. Education seems to have little effect on differing trends over time and the association stems from existing patterns in the 1970s. USSR countries had very liberal abortion laws.
In Tables 3,4 we show the association between the reproductive health law index and income per capita, total fertility rate, education, religion, colonial origin and region. We find that one unit increase in the log of income per capita of a previous year is associated with 14.4 % increase in the abortion law liberalization index. This percentage increase is attenuated after accounting for the general increasing trend in our year fixed effects to 13.7% but loses its association after including year and country fixed effects. This implies that the relationship between GDP per capita and the abortion law is positive and significant across countries, but not within countries.
Thus countries that increase their income per capita over the sample period (1960-2009) do not see a corresponding liberalization of their abortion laws. However, if we compare poor countries with rich countries, we find that rich countries tend to have more liberal abortion laws.
This cross country correlation between income per capita and reproductive health laws also holds for IUD and sterilization to a lesser magnitude: For both IUD and sterilization, richer countries
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have more liberal laws (see columns (11) and (14) of Table 3). In the case of the pill (column
(5)) and condom (column (8)) there is a small, but significant, negative association between income per capita and laws for these contraceptive methods. This implies that poorer countries have more liberal laws, which may be a reflection of family planning campaigns in poor countries that focus on these methods of contraception.
In Table 3, we show the within, and across, country relationship between fertility and the degree of liberalization of the reproductive health laws. More liberal pill (column (6)), condom (column
(9)), and sterilization (column (15)) laws are associated with lower fertility within countries-- so within a country, as laws liberalize fertility declines. For abortion laws, we see that countries that have more liberal laws have lower fertility (column (2)), but there is no significant association within country relationship between fertility and abortion laws liberalization. For condom
(column (8)), IUD (column (11)) and sterilization (column (14)), we see a small cross-country negative relationship between the liberalization of these laws and fertility.
We also examine the relationship between a country’s average level of education attainment and the degree of liberalization of the laws (Table 3). Countries with higher mean years of schooling have more liberal abortion laws (column 2). We also see a small positive association between education and IUD (column (11)) and sterilization (column (14)) across countries. There is no significant within-country association between abortion laws and education (column (3)), nor with pill laws and education (column (6)).
There is much discussion about reproductive health laws along religious lines. Thus, in Table 4 we present the association between a country’s religion composition and the degree of liberalization of the laws. The four religion variables are the percent of population identifying as
Catholics, Muslims, Protestants or belong to Other religions within a country, and is thus a continuous variable. For example, Ghana in 1980 had 18.7% of the population reporting themselves as Catholics, 15.7% as Muslims, 25.8% as Protestants, and 39.8% as other religions.
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The reference category is other religions. A percent increase in Catholic or Muslim population in countries is associated with slightly stricter abortion laws on average, but the magnitude of the effect is very small (column (2)). It should be noted that while the sign of the coefficient indicates slight decrease in liberalization with increase in Catholic and Muslim population within countries, the magnitude of the difference very small.
In Table 4 we consider the variation in laws by colonial origin. Many countries that gained independence in the 1960s maintained the laws of Britain or France at that time. Since the time of independence, British and French laws have liberalized significantly, but former colonies have more often than not maintained the laws of the 1960s, or liberalized to a lesser extent. Thus the starting point matters significantly for what countries experience today. Of note, those countries that have British colonial origin have more liberal laws than those under French influence. The abortion law for example (column (2)) is on average 46% of the maximum possible degree of liberalization in countries with British colonial origin, whereas it is only 27% of the maximum possible degree of liberalization in countries with French colonial origin. The disparity is consistent across pill, condom, IUD and sterilization laws.
In Table 4 we show differences in the laws by region. African and Latin American countries
(column (2)) have relatively strict laws, whereas CIS/Central Asia have very liberal abortion laws. The CIS have relatively strict contraceptive pill laws, legacy of their 1976-1982 ban on oral contraceptives.
Country Case Studies
Bolivia
Long noted for its lack of public support for utilization of contraception and pronatalist population policy, Bolivia has historically experienced constraints in the availability and quality of reproductive and sexual health services [32]. In 1960, the country’s TFR was at 6.7 children.
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By 1985 it had decreased to 5.13 and by 2008 to 3.46[25]. Despite the traditional view of population growth as being essential to national strength, there was frequent policy liberalization in the early seventies. In 1973 abortion became legal in Bolivia to save the woman’s life, to preserve her health and in the event of rape or incest [22].
Due to alarmingly high maternal and infant mortality [33], in 1974 the Government of Bolivia began a national program of free family planning services at fifteen public care clinics.
PROFAM, Bolivia’s first nationwide family planning organization was formed in 1974 as well
[34]. The policy was soon to be changed, however, when census population figures in 1976 indicated the population was million short of projections. This shortfall in population numbers precipitated a government decree in 1977 which prohibited the provision of family planning services in public institutions.
The reason for the 1974 change came back to haunt Bolivia and by 1982 the Government were so concerned about the levels of unsafe abortion and maternal mortality that the decree was reversed [22]. The new regulations permitted the dissemination of family planning information as part of a post-partum program, and in 1986 the government issued the Integral Women’s
Health Program to provide services and information to high risk women as well [22]. Though many of the country’s physicians are Roman Catholic there is evidence that doctors are not opposed to using voluntary sterilization as a form of fertility regulation. This may reflect the increasing acceptance of contraceptive methods in the country [35].
Bolivia’s indigenous population has traditionally experienced higher rates of fertility than the non-indigenous which has been found to be almost entirely the result of unwanted fertility rather than a desire for larger family size. Though the definition ‘Indigenous’ varies, approximately half the population of Bolivia qualifies such as those identifying as ‘Quechua’, ‘Aymara’, or
‘Guaraní’. The indigenous population’s social marginalization, lower educational attainment and economic conditions seem to make practicing contraception to limit fertility a challenge [36].
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With its maternal and child health program strategy, articulated in the 1989 National Plan for
Child Survival and Development and Maternal Health, the government promoted services for reproductive health at that time. The Bolivian government’s pronatalist stance continued to weaken through 1990 with the establishment of the National Reproductive Health Programme.
The intention was to make reproductive health services available to all which were advertised widely in the mid-nineties [37]. However, maternal mortality remains high in the country, at 236 deaths per 100,000 live births according to the 2008 Demographic and Health Survey [38].
Eastern and Central European Countries
Abortion is the primary method of limiting and spacing births in the 27 countries of the region of
East-Central Europe and the former Soviet Union [39]. There is a long history of abortion and reproductive health policy liberalization in the region. The Soviet Decree of 27 June 1936 prohibited the performance of abortions except in cases of danger to life, physical and mental health, or the existence of a serious inheritable disease for the newborn [22]. In 23 November
1955, the Government of the former Soviet Union repealed the general prohibition and specified that abortion could be performed freely during the first twelve weeks of pregnancy; beyond twelve weeks gestation, abortion can be requested if continuation of the pregnancy and the birth would harm the mother [22].
In 1974, the Soviet government even effectively banned the widespread use of oral contraceptives in part due to a pronatalist approach to childbearing, which Albania, Bulgaria and
Romania adopted later as well [41]. Restricted access to contraceptives resulted in a reliance on abortion as the primary method of family planning. Subsequently, there was a dramatic increase in rates of unsafe abortions occurring beyond the twelve weeks of pregnancy. Addressing the concerns of increased morbidity from unsafe abortions, the Soviet government in 1982 issued a
Decree allowing abortions for health reasons to be performed from twelve weeks through to the twenty-eight week of pregnancy [22]. In the same direction, the government expanded the
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grounds under which legal abortions were available to a broad range of non-medical indications for abortions to be performed on request through the twenty-eighth week of pregnancy. These included the death of the husband during pregnancy, imprisonment of the pregnant woman or husband, deprivation of maternity rights, multiparity.
Overall, poor quality and sporadic supplies of condoms and IUDs, limited options of oral contraceptives and legal restriction of contraceptive sterilization, led to low prevalence in contraceptive use [42]. IUDs were only available in urban areas and was never used by more than 10% of women. Lack of availability, high cost and requirement for insertion assistance put
IUDs beyond reach of most women. For example, in Russia, a package of spermicide or oral contraceptive pills could cost two-third the minimum monthly salary [5]. There were two condom factories in Russia, which reportedly ceased production in 1992 because they could no longer afford to import latex. The only factory manufacturing IUDs was closed down because of complaints concerning the quality of its products [22].
Most Eastern European countries that were not part of the former Soviet Union had fundamental changes to their laws governing abortion between 1980-1997. In 1987, Czech and Slovak republics liberalized the abortion policy to available on request without reason. Similarly,
Hungary liberalized the abortion law in 1993 to available on request. In 1990 and 1991, Albania,
Bulgaria and Romania abandoned strong pronatalist policies, coinciding with the dissolution of
Soviet Union. On the contrary, Poland significantly tightened abortion policy after the dissolution of Soviet Union. Strong influence of the Catholic Church led to strict regulations in
1993, which allowed abortion only in limited circumstances [41]. In the 1990s after the dissolution of the Soviet Union, the combination of declining population and low birth rates and high maternal mortality rates fueled pronatalistic policies to reemerge. Croatia, Poland, Russia,
Hungary and the Federal Republic of Yugoslavia had nationalist political parties which fostered restrictive reproductive health policies [39].
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Besides low access to contraceptives, other factors included reliance upon traditional methods that has a high failure rate. Countries such as Armenia, Azerbaijan and Romania with the greatest reliance on traditional methods were those with highest abortion rates as well, while those such as Turkmenistan and Uzbekistan predominantly used modern methods showed lower abortion rates [40]. From 1992 to 1997, Moldova increased its prevalence of modern contraception by 41% while abortion rate decreased by 50%. On the other hand, Turkmenistan’s increase in abortion rates coincided with an increase in modern contraceptive prevalence.
Ghana
Between 1960 and 2008, Ghana experienced two major reforms in their reproductive health laws. Prior to 1985, laws associated with abortion, pill, condom, IUD and sterilization were relatively strict [2,22]. Abortion was illegal, even in the case when the pregnancy was life threatening to the mother. The pill, requiring a prescription, and condom were available at pharmacies for contraceptive purposes.. There was no subsidies and advertising was strictly prohibited. IUD can only be installed by a physician. There were no laws associated with sterilization.
In 1985, the Criminal Code was amended and abortion was legalized for the following reasons[22]: to save the life of the mother, the physical health of the mother, mental health of the mother, fetal impairment, or rape. Abortion was not available on the grounds of economic hardship nor on request. In the same year, sterilization became legal[3,21,24]. There have been no further changes to the abortion or sterilization laws since these changes in 1985.
In 1994 the National Population Policy was released, and this had legal implications for the pill and condom – both could now be legally advertised, albeit with restrictions. The policy included changes that permitted “the provision of information to allow couples to space or limit their reproduction;” and “sex and family planning education”. A social marketing campaign called
Life Choices was also launched with the support of the government to promote various family
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planning options [4]. Since 1994 there have been no further changes to the reproductive health laws in Ghana [1].
Subsequent to the liberalization of the abortion law in 1985, fertility declined steeply and discontinuously compared with prior trends and continued to decline subsequent to 1994. In
1985, Ghana as well as most of sub-Saharan Africa experienced a severe drought. Food supplies were short, as surrounding countries were also equally affected. The suffering of families not being able to feed their large families may have brought to bear on the decision of General
Rollings to liberalize the abortion law. It is unclear if the liberalization of the abortion law was a reaction to the drought for it was not accompanied by any advertising campaign of the change, and to this day very few women know of the legal status of abortion (Ghana Maternal Health
Survey 2007).
Following the change in the law, we see that fertility rates steadily decline through to the present instead of exhibiting an abrupt decline similar to 1985. The change in the law did not cause a abrupt drop in the fertility rate but rather we see a gradual change. This may be a cohort effect we see in place. Women make decision over their desired family size at the start of their fertility lives. Shocks that come along during their fertile lives do not change their desired family size.
The change in abortion laws as a shock affects the choices of new cohorts entering their fertile lives. Thus we see a gradual change as an increasing number of cohorts enter under the new regime.
Summary
The reproductive health law panel dataset provides a systematic approach to understand the effect of legal changes on population policies, family planning programs, abortion and contraceptive availability and access across countries and across time. It is based on a broad selection of academic, policy, and contemporary resources. As we alluded to in the country case studies from Latin America, Africa and Central and Eastern Europe, it creates a framework for
22

incorporating rich historical context. We demonstrated associations and trends observed across countries and across time using the aggregate liberalization scores for abortion laws, which would have been difficult to compare without the standardized, systematic collation of the laws from each country and year. Furthermore, the panel dataset prepares the stage for investigating policy implications around reproductive health laws, fertility rates and population dynamics such as their effects on female labor force participation. From a policy perspective, it is important to understand the current laws to make effective policies for women and couples.
Acknowledgements
This work is funded by the William and Flora Hewlett Foundation. We thank Laura Khan for her invaluable research assistance on this project.
23

Table 1: Summary of Reproductive Health Law Indexation
0 1
Index Value
2
Abortion
Life threatening
Physical Health
Mental health
Rape
Fetal impairment
Economic
Request illegal illegal illegal illegal illegal illegal illegal legal legal legal legal legal legal legal
Contraceptive Pill
Sale purpose
Sale location illegal illegal
Prescription requirement illegal
Subsidy illegal
Commercial adversing illegal
3 non-contraceptive contraceptive pharmacy prescription required commercially available legal via RH education programs, or advertising only to doctors and pharmacies shop prescription not required subsidized legal with restrictions free legal without restrictions
Condom
Sale purpose
Subsidy illegal illegal non-contraceptive commercially available legal via RH education programs, or advertising only to doctors and pharmacies contraceptive subsidized legal with restrictions free legal without restrictions Commercial advertising illegal
IUD
Legal
Doctor installs
Sterilization illegal illegal legal doctor only inserts doctor or other inserts
Legal illegal permitted for therapeutic, eugenic, medical or health reasons only legal status unclear permitted for contraceptive purposes
24

Table 2: Summary of Indexation of Reproductive Health Laws. 1960 and 2000.
Percent of maximum possible liberalization. (Annul data set available to reviewers on request)
25

Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo, Rep.
Costa Rica
Cote d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt, Arab Rep.
El Salvador
Equatorial Guinea
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas, The
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bolivia
Bosnia and Herzegovina
Botswana
Brazil
Brunei
Bulgaria
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia, The
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran, Islamic Rep.
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Korea, Dem. Rep.
Korea, Rep.
Kuwait
Abortion Law
1960
Contraceptive
Pill Law
Condom Law
28.57
28.57
50.00
0.00
66.67
50.00
75.00
50.00
75.00
58.33
41.67
41.67
41.67
66.67
50.00
58.33
33.33
33.33
50.00
75.00
41.67
83.33
33.33
50.00
66.67
33.33
33.33
66.67
33.33
41.67
33.33
50.00
58.33
41.67
58.33
50.00
75.00
41.67
0.00
58.33
58.33
41.67
75.00
41.67
58.33
75.00
25.00
58.33
75.00
50.00
58.33
50.00
50.00
58.33
50.00
33.33
58.33
41.67
50.00
75.00
33.33
41.67
50.00
58.33
66.67
66.67
50.00
41.67
75.00
75.00
41.67
75.00
25.00
62.50
75.00
25.00
62.50
14.29
14.29
0.00
14.29
0.00
14.29
42.86
100.00
42.86
14.29
14.29
14.29
14.29
14.29
100.00
14.29
0.00
14.29
0.00
0.00
100.00
71.43
42.86
85.71
85.71
0.00
0.00
100.00
14.29
28.57
14.29
100.00
14.29
14.29
100.00
57.14
14.29
85.71
42.86
14.29
14.29
42.86
100.00
14.29
0.00
14.29
14.29
14.29
0.00
100.00
28.57
0.00
100.00
14.29
0.00
14.29
28.57
14.29
42.86
14.29
42.86
85.71
0.00
100.00
0.00
42.86
100.00
85.71
0.00
42.86
42.86
0.00
14.29
14.29
14.29
14.29
14.29
100.00
14.29
100.00
0.00
14.29
37.50
62.50
62.50
50.00
0.00
75.00
37.50
75.00
37.50
62.50
62.50
50.00
50.00
62.50
50.00
12.50
50.00
37.50
62.50
75.00
25.00
37.50
50.00
62.50
37.50
75.00
50.00
50.00
37.50
75.00
75.00
37.50
37.50
62.50
50.00
75.00
37.50
62.50
62.50
75.00
37.50
50.00
75.00
0.00
25.00
37.50
75.00
25.00
25.00
75.00
25.00
37.50
25.00
62.50
37.50
25.00
25.00
50.00
62.50
62.50
75.00
25.00
62.50
25.00
37.50
0.00
100.00
0.00
0.00
0.00
100.00
100.00
66.67
100.00
0.00
66.67
0.00
66.67
100.00
66.67
66.67
66.67
0.00
66.67
0.00
100.00
100.00
100.00
66.67
66.67
0.00
66.67
66.67
100.00
0.00
0.00
100.00
0.00
0.00
66.67
100.00
66.67
66.67
66.67
66.67
66.67
66.67
0.00
66.67
66.67
100.00
66.67
0.00
66.67
0.00
100.00
100.00
100.00
0.00
0.00
100.00
66.67
66.67
IUD Law
Fraction of Complete Liberalization
Sterilization
Law
2000
Abortion Law
Contraceptive
Pill Law
Condom Law
66.67
66.67
100.00
100.00
0.00
66.67
66.67
66.67
66.67
66.67
0.00
100.00
66.67
66.67
66.67
42.86
14.29
100.00
100.00
71.43
100.00
100.00
14.29
14.29
14.29
57.14
14.29
0.00
42.86
71.43
42.86
100.00
57.14
100.00
100.00
14.29
14.29
0.00
100.00
14.29
42.86
14.29
42.86
100.00
14.29
85.71
100.00
100.00
71.43
14.29
57.14
100.00
71.43
28.57
14.29
100.00
14.29
100.00
42.86
14.29
14.29
14.29
57.14
100.00
100.00
100.00
100.00
85.71
14.29
14.29
28.57
14.29
71.43
100.00
42.86
14.29
42.86
14.29
71.43
57.14
14.29
100.00
85.71
85.71
42.86
100.00
14.29
14.29
100.00
57.14
57.14
42.86
100.00
42.86
85.71
85.71
100.00
14.29
42.86
100.00
100.00
71.43
100.00
42.86
75.00
58.33
41.67
41.67
66.67
66.67
66.67
91.67
83.33
75.00
66.67
66.67
50.00
50.00
66.67
83.33
33.33
41.67
58.33
91.67
50.00
83.33
41.67
66.67
41.67
66.67
50.00
33.33
66.67
83.33
50.00
66.67
58.33
41.67
66.67
58.33
58.33
83.33
50.00
66.67
83.33
58.33
66.67
41.67
50.00
66.67
41.67
83.33
66.67
83.33
83.33
50.00
58.33
66.67
83.33
75.00
41.67
41.67
50.00
58.33
66.67
66.67
58.33
41.67
66.67
50.00
58.33
75.00
58.33
41.67
66.67
75.00
66.67
75.00
66.67
91.67
58.33
50.00
50.00
75.00
75.00
50.00
75.00
37.50
62.50
62.50
75.00
87.50
75.00
87.50
75.00
87.50
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
33.33
33.33
66.67
66.67
66.67
100.00
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
33.33
66.67
66.67
66.67
66.67
66.67
66.67
66.67
33.33
33.33
66.67
66.67
0.00
66.67
66.67
66.67
66.67
66.67
66.67
0.00
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
33.33
50.00
87.50
75.00
25.00
37.50
50.00
87.50
50.00
75.00
37.50
87.50
75.00
37.50
50.00
37.50
62.50
62.50
75.00
75.00
75.00
87.50
62.50
37.50
62.50
62.50
75.00
50.00
75.00
62.50
37.50
62.50
62.50
37.50
75.00
62.50
75.00
37.50
50.00
62.50
37.50
75.00
37.50
75.00
50.00
25.00
75.00
75.00
50.00
75.00
75.00
100.00
50.00
50.00
50.00
37.50
87.50
75.00
37.50
37.50
50.00
62.50
37.50
75.00
62.50
50.00
50.00
50.00
75.00
IUD Law
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
66.67
100.00
66.67
100.00
100.00
66.67
100.00
66.67
66.67
100.00
66.67
66.67
100.00
66.67
0.00
100.00
0.00
0.00
0.00
66.67
100.00
0.00
100.00
100.00
100.00
66.67
100.00
0.00
66.67
66.67
66.67
66.67
66.67
100.00
100.00
100.00
100.00
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
100.00
100.00
66.67
0.00
66.67
0.00
100.00
100.00
66.67
0.00
66.67
100.00
100.00
66.67
66.67
100.00
66.67
66.67
66.67
66.67
66.67
100.00
100.00
66.67
66.67
66.67
66.67
Sterilization
Law
100.00
100.00
100.00
100.00
100.00
100.00
100.00
66.67
100.00
100.00
33.33
100.00
66.67
66.67
66.67
100.00
66.67
66.67
66.67
100.00
100.00
100.00
100.00
100.00
33.33
100.00
100.00
66.67
33.33
100.00
66.67
66.67
100.00
100.00
66.67
100.00
66.67
66.67
33.33
100.00
66.67
66.67
66.67
100.00
100.00
66.67
100.00
100.00
66.67
66.67
66.67
100.00
100.00
100.00
100.00
66.67
66.67
66.67
66.67
100.00
100.00
100.00
33.33
66.67
66.67
100.00
100.00
66.67
66.67
66.67
100.00
100.00
100.00
66.67
66.67
100.00
100.00
100.00
66.67
26

Abortion Law
1960
Contraceptive
Pill Law
Condom Law
41.67
41.67
41.67
75.00
66.67
50.00
33.33
41.67
33.33
66.67
0.00
58.33
58.33
75.00
0.00
75.00
50.00
66.67
41.67
41.67
0.00
58.33
83.33
58.33
75.00
0.00
41.67
41.67
100.00
33.33
50.00
41.67
33.33
41.67
33.33
66.67
66.67
33.33
0.00
33.33
41.67
41.67
41.67
33.33
75.00
58.33
41.67
58.33
58.33
75.00
75.00
66.67
100.00
0.00
100.00
33.33
50.00
41.67
50.00
75.00
83.33
33.33
41.67
41.67
41.67
33.33
83.33
50.00
37.50
62.50
0.00
37.50
0.00
62.50
62.50
75.00
0.00
100.00
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Tanzania
Thailand
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela, RB
Vietnam
Yemen, Rep.
Zambia
Zimbabwe
Nigeria
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Rwanda
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Seychelles
Sierra Leone
Singapore
Slovak Republic
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
St. Kitts and Nevis
St. Lucia
St. Vincent and the Grenadines
Kyrgyz Republic
Lao PDR
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macedonia, FYR
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia, Fed. Sts.
Moldova
Monaco
Mongolia
Morocco
Mozambique
Myanmar
Namibia
Nepal
Netherlands
New Zealand
Nicaragua
Niger
100.00
14.29
14.29
14.29
28.57
14.29
14.29
100.00
0.00
0.00
0.00
0.00
14.29
0.00
100.00
14.29
14.29
14.29
28.57
14.29
42.86
14.29
14.29
42.86
42.86
14.29
14.29
14.29
100.00
0.00
14.29
0.00
14.29
14.29
14.29
0.00
14.29
14.29
0.00
14.29
14.29
85.71
14.29
0.00
100.00
100.00
14.29
14.29
14.29
0.00
14.29
42.86
14.29
85.71
100.00
0.00
14.29
42.86
14.29
57.14
100.00
42.86
100.00
0.00
14.29
42.86
57.14
100.00
14.29
14.29
14.29
42.86
42.86
14.29
100.00
42.86
57.14
0.00
14.29
14.29
14.29
42.86
42.86
14.29
14.29
14.29
14.29
0.00
14.29
37.50
25.00
50.00
75.00
62.50
37.50
25.00
37.50
25.00
75.00
0.00
37.50
37.50
100.00
25.00
50.00
37.50
50.00
62.50
62.50
75.00
37.50
25.00
37.50
25.00
75.00
62.50
37.50
50.00
75.00
62.50
25.00
0.00
25.00
75.00
62.50
75.00
100.00
25.00
50.00
37.50
50.00
75.00
37.50
62.50
62.50
87.50
75.00
75.00
75.00
25.00
37.50
37.50
37.50
25.00
75.00
75.00
0.00
100.00
0.00
100.00
66.67
66.67
100.00
0.00
0.00
0.00
66.67
100.00
0.00
0.00
66.67
66.67
0.00
66.67
0.00
0.00
66.67
0.00
0.00
0.00
100.00
66.67
66.67
100.00
100.00
66.67
100.00
0.00
66.67
100.00
66.67
66.67
100.00
66.67
66.67
66.67
0.00
0.00
100.00
0.00
100.00
100.00
100.00
0.00
0.00
100.00
0.00
0.00
0.00
100.00
100.00
0.00
66.67
100.00
100.00
66.67
100.00
0.00
66.67
0.00
66.67
IUD Law
Fraction of Complete Liberalization
Sterilization
Law
Abortion Law
2000
Contraceptive
Pill Law
Condom Law
100.00
66.67
0.00
66.67
100.00
14.29
14.29
100.00
71.43
14.29
42.86
42.86
85.71
14.29
42.86
14.29
71.43
42.86
100.00
100.00
14.29
71.43
71.43
57.14
100.00
100.00
42.86
42.86
14.29
42.86
100.00
14.29
42.86
14.29
42.86
42.86
14.29
42.86
14.29
71.43
14.29
100.00
71.43
14.29
14.29
14.29
57.14
14.29
100.00
14.29
100.00
42.86
42.86
100.00
14.29
14.29
42.86
28.57
14.29
0.00
14.29
14.29
100.00
14.29
14.29
14.29
71.43
14.29
42.86
100.00
85.71
14.29
71.43
100.00
57.14
100.00
42.86
14.29
100.00
14.29
71.43
57.14
71.43
14.29
42.86
100.00
100.00
100.00
42.86
100.00
28.57
14.29
14.29
100.00
42.86
14.29
100.00
42.86
57.14
58.33
58.33
66.67
66.67
50.00
33.33
58.33
50.00
75.00
75.00
66.67
66.67
58.33
66.67
50.00
75.00
50.00
66.67
75.00
50.00
50.00
58.33
66.67
83.33
58.33
75.00
0.00
66.67
100.00
50.00
66.67
58.33
58.33
41.67
50.00
75.00
75.00
66.67
50.00
41.67
66.67
58.33
66.67
41.67
41.67
41.67
66.67
41.67
75.00
58.33
75.00
41.67
66.67
100.00
41.67
100.00
58.33
66.67
41.67
66.67
41.67
83.33
50.00
41.67
58.33
50.00
58.33
83.33
75.00
100.00
50.00
62.50
62.50
62.50
37.50
25.00
62.50
50.00
75.00
100.00
50.00
75.00
37.50
75.00
37.50
37.50
87.50
62.50
87.50
37.50
75.00
75.00
62.50
37.50
50.00
50.00
62.50
75.00
87.50
37.50
75.00
50.00
62.50
37.50
37.50
37.50
50.00
37.50
50.00
87.50
75.00
50.00
62.50
37.50
75.00
62.50
75.00
0.00
50.00
100.00
62.50
50.00
37.50
75.00
62.50
62.50
37.50
75.00
50.00
75.00
62.50
75.00
75.00
87.50
75.00
62.50
75.00
50.00
66.67
66.67
66.67
66.67
100.00
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
100.00
66.67
66.67
66.67
66.67
100.00
66.67
66.67
0.00
33.33
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
100.00
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
66.67
27
100.00
100.00
66.67
66.67
100.00
0.00
100.00
0.00
66.67
100.00
100.00
66.67
100.00
100.00
100.00
100.00
66.67
66.67
100.00
100.00
66.67
66.67
66.67
0.00
100.00
0.00
100.00
100.00
100.00
100.00
100.00
0.00
100.00
0.00
66.67
100.00
100.00
66.67
66.67
100.00
66.67
100.00
66.67
100.00
100.00
66.67
100.00
66.67
66.67
100.00
100.00
100.00
IUD Law
100.00
66.67
66.67
0.00
66.67
100.00
66.67
66.67
0.00
0.00
66.67
100.00
0.00
0.00
100.00
66.67
66.67
Sterilization
Law
100.00
66.67
100.00
100.00
100.00
100.00
33.33
66.67
66.67
100.00
100.00
100.00
66.67
100.00
100.00
100.00
33.33
100.00
100.00
100.00
100.00
66.67
100.00
100.00
33.33
100.00
100.00
100.00
100.00
100.00
100.00
66.67
100.00
100.00
66.67
100.00
100.00
66.67
66.67
66.67
66.67
33.33
33.33
33.33
66.67
100.00
66.67
66.67
100.00
66.67
100.00
66.67
100.00
100.00
66.67
66.67
33.33
100.00
66.67
100.00
100.00
66.67
100.00
100.00
100.00
66.67
100.00
66.67
33.33
66.67
66.67
100.00
100.00
33.33
100.00
100.00

Table 3: Unadjusted Association of Reproductive Health Laws with Income per capita, Fertility Rate and Education
OUTCOME
(1)
Abortion
(2) (3)
Abortion Abortion
(4)
Pill
(5)
Pill
(6)
Pill
(7)
Condom
(8) (9)
Condom Condom
(10)
IUD
(11)
IUD
(12)
IUD
(13) (14) (15)
Sterilization Sterilization Sterilization
Ln(GDP) (t-1) 14.368*** 13.663***
(13.691 -
15.045)
(12.986 -
14.339)
Constant
-0.281
(-2.659 -
2.097)
-0.615***
(-1.013 - -
0.218)
-0.976***
(-1.369 - -
0.582)
-2.883***
(-4.013 - -
1.753)
-0.418*
(-0.875 -
0.039)
-0.852***
(-1.305 - -
0.399)
-2.769***
(-4.125 - -
1.412)
2.879***
(1.940 -
3.818)
2.285***
(1.326 -
3.243)
-6.271***
(-8.637 - -
3.905)
3.413***
(2.852 -
3.973)
2.908***
(2.346 -
3.471)
-3.231***
(-5.312 - -
1.150)
-70.183*** -82.421*** 17.480 64.402*** 59.501*** 63.994*** 61.884*** 56.409*** 47.809*** 42.102*** 35.709*** 142.512*** 51.251*** 44.027*** 43.359***
(-75.934 - -
64.433)
(-90.346 - -
74.496)
(-5.776 -
40.735)
(60.846 -
67.957)
(54.075 -
64.926)
(52.767 -
75.220)
(57.835 -
65.934)
(50.450 -
62.368)
(34.440 -
61.179)
(33.781 -
50.422)
(24.287 -
47.131)
(119.259 -
165.764)
(46.463 -
56.039)
(38.084 -
49.969)
(23.070 -
63.649)
R-squared 0.257 0.302 0.843 0.002 0.048 0.815 0.001 0.050 0.793 0.010 0.042 0.804 0.034 0.084 0.676
Fertility rate
(t-1)
Constant
R-squared
-10.000*** -9.540***
(-10.404 - -
9.596)
(-9.980 - -
9.101)
0.318 0.326
0.798
(-0.297 -
1.894)
0.843
-0.576***
(-0.851 - -
0.300)
0.005
0.046
(-0.234 -
0.327)
0.043
-1.315*** -1.113*** -0.424*** -2.676*** -3.163*** -2.283***
(-1.936 - -
0.693)
(-1.429 - -
0.797)
(-0.745 - -
0.104)
(-3.439 - -
1.914)
(-3.754 - -
2.573)
(-2.920 - -
1.646)
0.815 0.013 0.049 0.796 0.032 0.050
-0.108
(-1.319 -
1.103)
0.802
-3.029*** -2.363*** -1.380***
(-3.379 - -
2.680)
(-2.754 - -
1.971)
(-2.289 - -
0.472)
88.953*** 87.324*** 92.606*** 61.338*** 58.963*** 47.821*** 62.498*** 59.997*** 50.158*** 78.323*** 72.598*** 91.947*** 91.494*** 89.948*** 96.424***
(87.002 -
90.905)
(81.106 -
93.542)
(88.402 -
96.809)
(60.314 -
62.363)
(55.412 -
62.513)
(45.614 -
50.028)
(61.302 -
63.694)
(56.230 -
63.764)
(47.522 -
52.793)
(76.201 -
80.445)
(64.967 -
80.228)
(87.003 -
96.892)
(90.050 -
92.938)
(84.548 -
95.347)
(92.274 -
100.573)
0.069 0.096 0.676
Mean years of schooling
Constant
5.889*** 5.608*** -0.159 0.072 -0.365*** -0.341 0.365*** -0.119 0.915** 2.267*** 1.779*** -3.621*** 1.782*** 1.360*** -2.203***
(5.650 - 6.129)
(5.347 -
5.869)
(-1.677 -
1.359)
(-0.086 -
0.229)
(-0.528 - -
0.202)
(-0.907 -
0.225)
(0.180 -
0.550)
(-0.308 -
0.070)
(0.196 -
1.634)
(1.924 -
2.610)
(1.403 -
2.155)
(-4.863 - -
2.380)
(1.578 -
1.985)
(1.131 -
1.588)
(-3.373 - -
1.033)
14.458*** 16.311*** 35.577*** 58.735*** 61.272*** 46.127*** 56.039*** 58.978*** 25.168*** 52.211*** 53.063*** 112.375*** 68.941*** 72.529*** 37.744***
(12.815 -
16.101)
(10.116 -
22.506)
(26.290 -
44.864)
(57.461 -
60.009)
(57.723 -
64.822)
(42.539 -
49.715)
(54.584 -
57.495)
(55.167 -
62.790)
(20.589 -
29.747)
(49.517 -
54.906)
(45.365 -
60.761)
(104.448 -
120.301)
(67.452 -
70.429)
(67.046 -
78.013)
(30.312 -
45.175)
R-squared 0.298 0.306 0.843 0.000 0.047 0.814 0.004 0.048 0.792 0.045 0.059 0.804 0.064 0.092 0.677
Year FE
Country FE
Observations
No
No
3855
Yes
No
3855
Yes
Yes
3855
No
No
3855
Yes
No
3855
Yes
Yes
3855
No
No
3855
Yes
No
3855
Yes
Yes
3855
No
No
3855
Yes
No
3855
Yes
Yes
3855
No
No
3855
Yes
No
3855
Yes
Yes
3855
28

Robust 95% CI in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Table 4: Unadjusted Association of Reproductive Health Laws with Religion, Colonial Origin and Geographical Region
(1)
Abortion
(2)
Abortion
(3)
Pill
(4)
Pill
(5)
Condom
Colonial Origin
Britain
France
Spain
USSR
Others
Never colonized
1
OUTCOMES
Proportion of population report being
Catholic
Muslim
Protestant
Constant
R-squared
-0.342***
0.159***
0.161
46.795***
-0.331***
0.172***
0.232
46.756***
-0.061***
-0.113***
0.020
64.574***
-0.057***
-0.109***
0.061
64.438***
-0.089***
-0.138***
0.025
62.794***
(6)
Condom
-0.084***
(7)
IUD
(8)
IUD
(9)
Sterilization
(10)
Sterilization
(-0.376 - -0.308) (-0.364 - -0.298) (-0.082 - -0.040) (-0.078 - -0.036) (-0.110 - -0.068) (-0.105 - -0.063) (-0.053 - 0.018) (-0.044 - 0.026) (-0.040 - 0.011) (-0.034 - 0.017)
-0.385*** -0.379*** -0.030** -0.028** -0.053*** -0.050*** 0.088*** 0.093*** -0.153*** -0.150***
(-0.427 - -0.343) (-0.420 - -0.338) (-0.055 - -0.005) (-0.053 - -0.003) (-0.079 - -0.027) (-0.076 - -0.025) (0.044 - 0.132) (0.049 - 0.136) (-0.185 - -0.121) (-0.181 - -0.118)
-0.133***
(0.110 - 0.208) (0.125 - 0.218) (-0.142 - -0.085) (-0.137 - -0.081) (-0.169 - -0.107) (-0.164 - -0.102) (-0.121 - 0.015) (-0.111 - 0.024) (0.087 - 0.156) (0.095 - 0.161)
69.912*** 50.610*** 63.495*** 57.238*** 64.443*** 56.748*** 66.120*** 56.027*** 82.173*** 70.754***
(67.355 - 72.470) (44.576 - 56.643) (61.841 - 65.148) (52.910 - 61.565) (62.857 - 66.029) (52.191 - 61.305) (63.523 - 68.717) (47.644 - 64.410) (80.331 - 84.014) (66.104 - 75.404)
0.070
62.966***
-0.018
-0.053
0.011
64.957***
-0.009
-0.043
0.045
63.139***
-0.015
0.121***
0.067
83.654***
-0.009
0.128***
0.128
84.158***
(44.839 - 48.751) (40.804 - 52.708) (63.535 - 65.613) (61.119 - 67.757) (61.652 - 63.935) (59.402 - 66.530) (62.664 - 67.251) (55.847 - 70.431) (82.350 - 84.957) (79.022 - 89.293)
27.150*** 26.999*** 50.882*** 50.688*** 48.006*** 48.109*** 47.446*** 45.542*** 66.298*** 66.715***
(25.538 - 28.761) (21.154 - 32.844) (49.573 - 52.191) (47.288 - 54.088) (46.460 - 49.551) (44.445 - 51.773) (43.857 - 51.035) (37.755 - 53.328) (64.776 - 67.820) (61.508 - 71.921)
28.067*** 27.897*** 61.345*** 61.140*** 60.483*** 60.575*** 79.384*** 77.463*** 82.913*** 83.314***
(26.311 - 29.824) (22.003 - 33.791) (59.951 - 62.738) (57.721 - 64.559) (58.864 - 62.102) (56.875 - 64.275) (77.610 - 81.158) (70.355 - 84.571) (81.065 - 84.761) (78.016 - 88.612)
93.695*** 90.225*** 53.086*** 51.137*** 58.758*** 56.924*** 89.609*** 84.842*** 78.189*** 76.178***
(92.442 - 94.948) (84.414 - 96.036) (51.257 - 54.915) (47.345 - 54.929) (56.822 - 60.694) (52.919 - 60.928) (87.926 - 91.292) (77.642 - 92.043) (76.118 - 80.261) (70.683 - 81.672)
42.439*** 42.400*** 56.471*** 56.335*** 55.357*** 55.529*** 71.551*** 69.732*** 74.725*** 75.229***
(38.173 - 46.704) (35.324 - 49.475) (54.578 - 58.365) (52.722 - 59.948) (52.876 - 57.839) (51.434 - 59.625) (68.635 - 74.467) (62.303 - 77.162) (71.511 - 77.940) (69.298 - 81.160)
72.421*** 71.912*** 60.695*** 60.313*** 59.963*** 59.867*** 63.742*** 61.534*** 85.679*** 85.837***
29

(70.459 - 74.383) (65.961 - 77.863) (59.801 - 61.589) (57.024 - 63.603) (58.929 - 60.998) (56.340 - 63.394) (61.797 - 65.686) (54.332 - 68.736) (84.275 - 87.084) (80.712 - 90.961)
R-squared 0.800
1
Never colonized by a Western oversea or USSR
0.815 0.931 0.934 0.908 0.913 0.805 0.811 0.930 0.935
Geographical Region
Africa 33.305*** 33.108*** 56.034*** 55.589*** 53.827*** 53.426*** 49.110*** 47.110*** 74.757*** 74.802***
(31.794 - 34.815) (27.419 - 38.797) (54.845 - 57.222) (52.284 - 58.895) (52.515 - 55.139) (49.899 - 56.953) (46.440 - 51.781) (39.907 - 54.312) (73.400 - 76.114) (69.887 - 79.717)
CIS/Central Asia
East Asia/Pacific
Latin America/Caribbean
OECD-Europe
Middle East/North Africa
R-squared
100.000
45.752***
31.292***
77.459***
38.116***
0.802
93.281***
(100.000 - 100.000) (87.562 - 99.000) (47.051 - 50.902) (41.086 - 48.542) (45.576 - 51.354) (39.200 - 48.167) (100.000 - 100.000) (85.354 - 99.218) (62.704 - 68.875) (54.890 - 66.398)
45.855***
(42.404 - 49.099) (39.401 - 52.308) (72.679 - 74.779) (70.204 - 76.699) (71.659 - 74.038) (69.161 - 76.146) (72.610 - 77.717) (66.222 - 80.576) (90.862 - 93.452) (87.655 - 97.249)
31.134***
(29.621 - 32.962) (25.403 - 36.865) (57.748 - 60.317) (55.308 - 61.910) (55.894 - 58.853) (53.430 - 60.569) (70.269 - 75.048) (63.614 - 77.761) (78.198 - 81.500) (74.952 - 84.900)
76.745***
(75.833 - 79.084) (71.027 - 82.463) (55.913 - 57.389) (52.715 - 59.121) (56.268 - 57.969) (52.982 - 59.793) (65.380 - 68.465) (57.586 - 71.366) (84.881 - 87.337) (80.926 - 90.580)
38.023***
(34.321 - 41.910) (31.284 - 44.762) (61.688 - 65.546) (59.654 - 66.815) (60.937 - 66.510) (59.184 - 67.614) (81.874 - 87.772) (75.628 - 90.189) (52.457 - 57.046) (49.629 - 60.147)
0.818
48.977***
73.729***
59.032***
56.651***
63.617***
0.934
44.814***
73.451***
58.609***
55.918***
63.234***
0.938
48.465***
72.849***
57.374***
57.118***
63.723***
0.911
43.684***
72.653***
56.999***
56.388***
63.399***
0.917
100.000
75.163***
72.659***
66.922***
84.823***
0.808
92.286***
73.399***
70.687***
64.476***
82.909***
0.814
65.789***
92.157***
79.849***
86.109***
54.752***
0.935
60.644***
92.452***
79.926***
85.753***
54.888***
0.940
Year FE
Country FE
Observations
No
No
3855
Yes
No
3855
No
No
3855
Yes
No
3855
No
No
3855
Yes
No
3855
No
No
3855
Yes
No
3855
No
No
3855
Yes
No
3855
Robust 95% CI in parentheses
*** p<0.01, ** p<0.05, * p<0.1
30

Figure 1: Global Average Trends of Reproductive Health Laws Liberalization
1960 1970 1980
Year
Abortion
Condom
Sterilization
1990
Pill
IUD
2000 2010
31

Figure 2: Aggregated Trends of Abortion Law Liberalization by Sociodemographic factors
1960 1970 1980 1990 2000
Year
Country Income Classification
Low income Lower middle income
Upper middle income
High income (OECD)
High income (not OECD)
2010 1970 1980 1990
Year
2000
Mean Years of Schooling less than 1 year 1 to 5 years
6 to 10 years more than 10 years
2010
1960 1970
Britain
Spain
Others
1980 1990 2000 2010
Year
Colonial Origin
France
USSR
Never colonized by a western oversea or USSR
1960 1970 1980 1990 2000
Year
Geographic Region
Africa
East Asia/Pacific
OECD/Europe
CIS/Central Asia
Latin America/Caribbean
Middle East/North Africa
2010
32

REFERENCES
WEB APPENDIX: FOR PUBLICATION ONLINE
Table 1.Reproductive Health Law Index 1960, 1970, 1980, 1990, 2000, 2009. Annual panel 1960-2009 will be published online. 10 year panel shown here for brevity.
1960 Afghanistan
1970 Afghanistan
1980 Afghanistan
1990 Afghanistan
2000 Afghanistan
2009 Afghanistan
1960 Albania
1970 Albania
1980 Albania
1990 Albania
2000 Albania
2009 Albania
1960 Algeria
1970 Algeria
1980 Algeria
1990 Algeria
1 2 2 66.67
1 2 2 66.67
1 1 0 0 0 0 0 0 1 14.29 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
1 1 0 0 0 0 0 0 1 14.29 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
1 1 0 0 0 0 0 0 1 14.29 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
1 1 0 0 0 0 0 0 1 14.29 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
2 1 1 0 0 0 0 0 2 28.57 2 2 66.67
2 1 1 0 0 0 0 0 2 28.57 2 2 66.67
2 1 1 0 0 0 0 0 2 28.57 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
2 1 1 0 1 0 0 0 3 42.86 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
2 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
2 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
3 1 1 0 0 0 0 0 2 28.57 2 2 66.67
3 1 1 1 0 0 0 0 3 42.86 1 1 33.33
3 1 1 1 0 0 0 0 3 42.86 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
3 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 1 1 33.33
33

2000 Algeria
2009 Algeria
1960 Andorra
1970 Andorra
1980 Andorra
1990 Andorra
2000 Andorra
2009 Andorra
1960 Angola
1970 Angola
1980 Angola
1990 Angola
2000 Angola
2009 Angola
1960 Antigua and Barbuda
1970 Antigua and Barbuda
1980 Antigua and Barbuda
1990 Antigua and Barbuda
2000 Antigua and Barbuda
2009 Antigua and Barbuda
1960 Argentina
1970 Argentina
1980 Argentina
1990 Argentina
2000 Argentina
2009 Argentina
1960 Armenia
1970 Armenia
1980 Armenia
3 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 1 1 33.33
3 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
5 1 0 0 0 0 0 0 1 14.29
5 1 0 0 0 0 0 0 1 14.29
5 1 0 0 0 0 0 0 1 14.29
2
2
2
2
2
2
66.67
66.67
66.67
5 1 0 0 0 0 0 0 1 14.29
5 1 0 0 0 0 0 0 1 14.29
5 1 0 0 0 0 0 0 1 14.29
2 2 66.67
3 3 100.00
6 1 0 0 0 0 0 0 1 14.29
6 1 0 0 0 0 0 0 1 14.29
6 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
6 1 0 0 0 0 0 0 1 14.29 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
6 1 0 0 0 0 0 0 1 14.29 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
6 1 0 0 0 0 0 0 1 14.29 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
7 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00
7 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00
7 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00
7 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00
7 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00
7 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00
8 0 0 0 0 0 0 0 0 0.00 1 1 1 2 0 5 41.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
8 0 0 0 0 0 0 0 0 0.00 1 1 2 2 0 6 50.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
8 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
8 1 1 1 1 0 0 0 4 57.14 1 1 1 2 0 5 41.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
8 1 1 1 1 0 0 0 4 57.14 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 2 2 66.67
8 1 1 1 1 0 0 0 4 57.14 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
9 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
9 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
9 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
34

1990 Armenia
2000 Armenia
2009 Armenia
1960 Australia
1970 Australia
1980 Australia
1990 Australia
2000 Australia
2009 Australia
1960 Austria
1970 Austria
1980 Austria
1990 Austria
2000 Austria
2009 Austria
1960 Azerbaijan
1970 Azerbaijan
1980 Azerbaijan
1990 Azerbaijan
2000 Azerbaijan
2009 Azerbaijan
1960 Bahamas, The
1970 Bahamas, The
1980 Bahamas, The
1990 Bahamas, The
2000 Bahamas, The
2009 Bahamas, The
1960 Bahrain
1970 Bahrain
9 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
9 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
9 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
11 1 1 0 0 0 0 0 2 28.57 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
11 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
11 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
11 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
11 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
11 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
12 0 0 0 0 0 0 0 0 0.00 2 1 1 2 1 7 58.33 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
12 0 0 0 0 0 0 0 0 0.00 2 1 1 2 1 7 58.33 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
12 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
12 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
12 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
12 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
13 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
13 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
13 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
13 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
13 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
13 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
14 1 1 1 0 0 0 0 3 42.86 2 2 2 1 0 7 58.33 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
14 1 1 1 0 0 0 0 3 42.86 2 2 2 1 0 7 58.33 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
14 1 1 1 0 0 0 0 3 42.86 2 2 2 1 0 7 58.33 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
14 1 1 1 0 0 0 0 3 42.86 2 2 2 1 0 7 58.33 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
14 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
14 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
15 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
15 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
35

1990 Barbados
2000 Barbados
2009 Barbados
1960 Belarus
1970 Belarus
1980 Belarus
1990 Belarus
2000 Belarus
2009 Belarus
1960 Belgium
1970 Belgium
1980 Belgium
1990 Belgium
2000 Belgium
2009 Belgium
1960 Belize
1980 Bahrain
1990 Bahrain
2000 Bahrain
2009 Bahrain
1960 Bangladesh
1970 Bangladesh
1980 Bangladesh
1990 Bangladesh
2000 Bangladesh
2009 Bangladesh
1960 Barbados
1970 Barbados
1980 Barbados
15 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
15 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
15 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
15 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
16 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
16 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
16 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
16 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
16 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
16 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
17 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 2 3 100.00 2 2 66.67
17 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 2 3 100.00 3 3 100.00
17 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 2 3 100.00 3 3 100.00
17 1 1 1 1 1 1 0 6 85.71 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 2 3 100.00 3 3 100.00
17 1 1 1 1 1 1 0 6 85.71 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
17 1 1 1 1 1 1 0 6 85.71 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
18 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
18 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
18 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
18 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
18 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
18 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
19 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 1 1 33.33
19 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 1 1 33.33
19 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 1 2 66.67 1 1 33.33
19 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 1 1 33.33
19 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 1 1 33.33
19 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
20 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
36

1970 Belize
1980 Belize
1990 Belize
2000 Belize
2009 Belize
1960 Benin
1970 Benin
1980 Benin
1990 Benin
2000 Benin
2009 Benin
1960 Bolivia
1970 Bolivia
1980 Bolivia
1990 Bolivia
2000 Bolivia
2009 Bolivia
1960 Bosnia and Herzegovina
1970 Bosnia and Herzegovina
1980 Bosnia and Herzegovina
1990 Bosnia and Herzegovina
2000 Bosnia and Herzegovina
2009 Bosnia and Herzegovina
1960 Botswana
1970 Botswana
1980 Botswana
1990 Botswana
2000 Botswana
2009 Botswana
20 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
20 1 1 1 0 1 1 0 5 71.43 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
20 1 1 1 0 1 1 0 5 71.43 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
20 1 1 1 0 1 1 0 5 71.43 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
20 1 1 1 0 1 1 0 5 71.43 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
21 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
21 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
21 1 0 0 0 0 0 0 1 14.29 1 1 1 3 0 6 50.00 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
21 1 0 0 0 0 0 0 1 14.29 1 1 1 3 0 6 50.00 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
21 1 0 0 0 0 0 0 1 14.29 1 1 1 3 1 7 58.33 1 1 1 3 37.50 1 1 2 66.67 2 2 66.67
21 1 1 0 1 1 0 0 4 57.14 2 1 1 3 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
24 0 0 0 0 0 0 0 0 0.00 2 1 2 1 0 6 50.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
24 0 0 0 0 0 0 0 0 0.00 2 1 2 1 0 6 50.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
24 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
24 0 0 0 0 0 0 0 0 0.00 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 2 2 66.67
24 1 1 1 1 0 0 0 4 57.14 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 2 2 66.67
24 1 1 1 1 0 0 0 4 57.14 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 2 2 66.67
25 1 1 1 1 1 1 1 7 100.00
25 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67
25 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67
25 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67
25 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67
25 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67
26 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
26 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
26 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
26 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
26 1 1 1 1 1 0 0 5 71.43 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
26 1 1 1 1 1 0 0 5 71.43 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
37

1960 Brazil
1970 Brazil
1980 Brazil
1990 Brazil
2000 Brazil
2009 Brazil
1960 Brunei
1970 Brunei
1980 Brunei
1990 Brunei
2000 Brunei
2009 Brunei
1960 Bulgaria
1970 Bulgaria
1980 Bulgaria
1990 Bulgaria
2000 Bulgaria
2009 Bulgaria
1960 Burkina Faso
1970 Burkina Faso
1980 Burkina Faso
1990 Burkina Faso
2000 Burkina Faso
2009 Burkina Faso
1960 Burundi
1970 Burundi
1980 Burundi
1990 Burundi
2000 Burundi
27 1 0 0 1 0 0 0 2 28.57 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
27 1 0 0 1 0 0 0 2 28.57 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
27 1 0 0 1 0 0 0 2 28.57 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
27 1 0 0 1 0 0 0 2 28.57 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 1 2 66.67 1 1 33.33
27 1 0 0 1 0 0 0 2 28.57 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
27 1 0 0 1 0 0 0 2 28.57 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
28 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
28 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
28 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
28 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
28 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
28 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
29 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
29 1 0 0 1 0 0 0 2 28.57 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
29 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
29 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
29 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
29 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
30 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
30 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
30 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
30 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
30 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 3 1 6 75.00 0 0 0 0.00 2 2 66.67
30 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 3 1 6 75.00 0 0 0 0.00 2 2 66.67
31 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
31 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
31 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
31 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
31 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
38

2009 Burundi
1960 Cambodia
1970 Cambodia
1980 Cambodia
1990 Cambodia
2000 Cambodia
2009 Cambodia
1960 Cameroon
1970 Cameroon
1980 Cameroon
1990 Cameroon
2000 Cameroon
2009 Cameroon
1960 Canada
1970 Canada
1980 Canada
1990 Canada
2000 Canada
2009 Canada
1960 Cape Verde
1970 Cape Verde
1980 Cape Verde
1990 Cape Verde
2000 Cape Verde
2009 Cape Verde
1960 Central African Republic
1970 Central African Republic
1980 Central African Republic
1990 Central African Republic
31 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
32 1 1 1 1 1 1 1 7 100.00
32 1 1 1 1 1 1 1 7 100.00
32 1 1 1 1 1 1 1 7 100.00
32 1 1 1 1 1 1 1 7 100.00
32 1 1 1 1 1 1 1 7 100.00
32 1 1 1 1 1 1 1 7 100.00
33 1 1 1 1 0 0 0 4 57.14 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
33 1 1 1 1 0 0 0 4 57.14 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
33 1 1 1 1 0 0 0 4 57.14 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
33 1 1 1 1 0 0 0 4 57.14 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
33 1 1 1 1 0 0 0 4 57.14 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
33 1 1 1 1 0 0 0 4 57.14 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
34 1 0 0 0 0 0 0 1 14.29 2 1 1 2 0 6 50.00 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
34 1 1 1 1 1 1 1 7 100.00 2 1 1 2 0 6 50.00 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
34 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
34 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
34 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 3 7 87.50 1 1 2 66.67 3 3 100.00
34 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 3 7 87.50 1 1 2 66.67 3 3 100.00
35 1 1 1 1 1 1 0 6 85.71 2 2 2 1 0 7 58.33 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
35 1 1 1 1 1 1 0 6 85.71 2 2 2 1 0 7 58.33 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
35 1 1 1 1 1 1 0 6 85.71 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
35 1 1 1 1 1 1 1 7 100.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
35 1 1 1 1 1 1 1 7 100.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
35 1 1 1 1 1 1 1 7 100.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
37 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
37 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
37 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
37 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
39

2009 Chile
1960 China
1970 China
1980 China
1990 China
2000 China
2009 China
1960 Colombia
1970 Colombia
1980 Colombia
1990 Colombia
2000 Colombia
2009 Colombia
1960 Comoros
1970 Comoros
1980 Comoros
2000 Central African Republic
2009 Central African Republic
1960 Chad
1970 Chad
1980 Chad
1990 Chad
2000 Chad
2009 Chad
1960 Chile
1970 Chile
1980 Chile
1990 Chile
2000 Chile
37 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
37 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
38 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
38 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
38 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
38 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
38 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
38 1 1 0 0 1 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
40 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
40 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
40 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
40 0 0 0 0 0 0 0 0 0.00 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
40 0 0 0 0 0 0 0 0 0.00 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
40 0 0 0 0 0 0 0 0 0.00 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
41 1 1 1 1 1 1 1 7 100.00 2 2 2 3 0 9 75.00 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
41 1 1 1 1 1 1 1 7 100.00 2 2 2 3 0 9 75.00 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
41 1 1 1 1 1 1 1 7 100.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
41 1 1 1 1 1 1 1 7 100.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
41 1 1 1 1 1 1 1 7 100.00 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
41 1 1 1 1 1 1 1 7 100.00 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
42 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
42 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
42 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
42 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
42 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
42 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
43 0 0 0 0 0 0 0 0 0.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
43 0 0 0 0 0 0 0 0 0.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
43 0 0 0 0 0 0 0 0 0.00 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
40

1990 Comoros
2000 Comoros
2009 Comoros
1960 Congo, Dem. Rep
1970 Congo, Dem. Rep
1980 Congo, Dem. Rep
1990 Congo, Dem. Rep
2000 Congo, Dem. Rep
2009 Congo, Dem. Rep
1960 Congo, Rep.
1970 Congo, Rep.
1980 Congo, Rep.
1990 Congo, Rep.
2000 Congo, Rep.
2009 Congo, Rep.
1960 Costa Rica
1970 Costa Rica
1980 Costa Rica
1990 Costa Rica
2000 Costa Rica
2009 Costa Rica
1960 Cote d'Ivoire
1970 Cote d'Ivoire
1980 Cote d'Ivoire
1990 Cote d'Ivoire
2000 Cote d'Ivoire
2009 Cote d'Ivoire
1960 Croatia
1970 Croatia
43 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
43 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
43 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
44 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
44 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
44 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
44 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
44 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
44 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
45 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00
45 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00
45 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00
45 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00
45 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00
45 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00
46 0 0 0 0 0 0 0 0 0.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
46 0 0 0 0 0 0 0 0 0.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
46 1 1 1 0 0 0 0 3 42.86 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
46 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
46 1 1 1 0 0 0 0 3 42.86 2 1 1 3 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
46 1 1 1 0 0 0 0 3 42.86 2 1 1 3 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
47 0 0 0 0 0 0 0 0 0.00 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
47 0 0 0 0 0 0 0 0 0.00 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
47 0 0 0 0 0 0 0 0 0.00 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
47 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
47 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
47 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
48 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
48 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
41

1980 Croatia
1990 Croatia
2000 Croatia
2009 Croatia
1960 Cuba
1970 Cuba
1980 Cuba
1990 Cuba
2000 Cuba
2009 Cuba
1960 Cyprus
1970 Cyprus
1980 Cyprus
1990 Cyprus
2000 Cyprus
2009 Cyprus
1960 Czech Republic
1970 Czech Republic
1980 Czech Republic
1990 Czech Republic
2000 Czech Republic
2009 Czech Republic
1960 Denmark
1970 Denmark
1980 Denmark
1990 Denmark
2000 Denmark
2009 Denmark
1960 Djibouti
48 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
48 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
48 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
48 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
49 1 1 1 1 1 0 0 5 71.43 2 2 66.67
49 1 1 1 1 1 1 1 7 100.00
49 1 1 1 1 1 1 1 7 100.00
49 1 1 1 1 1 1 1 7 100.00
3 3 100.00
3 3 100.00
3 3 100.00
49 1 1 1 1 1 1 1 7 100.00
49 1 1 1 1 1 1 1 7 100.00
3 3 100.00
50 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
50 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
50 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
50 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
50 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
50 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
51 1 1 1 1 1 1 0 6 85.71 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
51 1 1 1 1 1 1 0 6 85.71 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
51 1 1 1 1 1 1 0 6 85.71 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
51 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
51 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
51 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
52 1 1 1 1 1 1 0 6 85.71 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
52 1 1 1 1 1 1 0 6 85.71 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
52 1 1 1 1 1 1 1 7 100.00 2 2 1 1 2 8 66.67 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
52 1 1 1 1 1 1 1 7 100.00 2 2 1 1 2 8 66.67 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
52 1 1 1 1 1 1 1 7 100.00 2 2 1 1 2 8 66.67 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
52 1 1 1 1 1 1 1 7 100.00 2 2 1 1 2 8 66.67 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
53 0 0 0 0 0 0 0 0 0.00
42

1970 Djibouti
1980 Djibouti
1990 Djibouti
2000 Djibouti
2009 Djibouti
1960 Dominica
1970 Dominica
1980 Dominica
1990 Dominica
2000 Dominica
2009 Dominica
1960 Dominican Republic
1970 Dominican Republic
1980 Dominican Republic
1990 Dominican Republic
2000 Dominican Republic
2009 Dominican Republic
1960 Ecuador
1970 Ecuador
1980 Ecuador
1990 Ecuador
2000 Ecuador
2009 Ecuador
1960 Egypt, Arab Rep.
1970 Egypt, Arab Rep.
1980 Egypt, Arab Rep.
1990 Egypt, Arab Rep.
2000 Egypt, Arab Rep.
2009 Egypt, Arab Rep.
53 0 0 0 0 0 0 0 0 0.00
53 1 0 0 0 0 0 0 1 14.29
53 1 0 0 0 0 0 0 1 14.29
53 1 0 0 0 0 0 0 1 14.29
53 1 1 0 0 0 0 0 2 28.57
54 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
54 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
54 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
54 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
54 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
54 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
55 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
55 1 0 0 0 0 0 0 1 14.29 2 2 2 2 3 11 91.67 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
55 1 0 0 0 0 0 0 1 14.29 2 2 2 2 3 11 91.67 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
55 1 0 0 0 0 0 0 1 14.29 2 2 2 2 3 11 91.67 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
55 1 0 0 0 0 0 0 1 14.29 2 2 2 2 3 11 91.67 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
55 1 0 0 0 0 0 0 1 14.29 2 2 2 2 3 11 91.67 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
56 0 0 0 0 0 0 0 0 0.00 2 2 66.67
56 0 0 0 0 0 0 0 0 0.00 2 2 2 3 1 10 83.33 2 2 2 6 75.00 1 2 3 100.00 2 2 66.67
56 1 1 1 1 0 0 0 4 57.14 2 2 2 3 1 10 83.33 2 2 2 6 75.00 1 2 3 100.00 2 2 66.67
56 1 1 1 1 0 0 0 4 57.14 2 2 2 3 1 10 83.33 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
56 1 1 1 1 0 0 0 4 57.14 2 2 2 3 1 10 83.33 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
56 1 1 1 1 0 0 0 4 57.14 2 2 2 3 1 10 83.33 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
57 1 0 0 0 0 0 0 1 14.29
57 1 0 0 0 0 0 0 1 14.29 2 1 2 3 3 11 91.67 2 3 3 8 100.00 1 1 2 66.67 2 2 66.67
57 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 1 2 66.67 2 2 66.67
57 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 1 2 66.67 1 1 33.33
57 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 1 2 66.67 1 1 33.33
57 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 1 2 66.67 2 2 66.67
43

1970 Eritrea
1980 Eritrea
1990 Eritrea
2000 Eritrea
2009 Eritrea
1960 Estonia
1970 Estonia
1980 Estonia
1990 Estonia
2000 Estonia
2009 Estonia
1960 Ethiopia
1970 Ethiopia
1980 Ethiopia
1990 Ethiopia
2000 Ethiopia
1960 El Salvador
1970 El Salvador
1980 El Salvador
1990 El Salvador
2000 El Salvador
2009 El Salvador
1960 Equatorial Guinea
1970 Equatorial Guinea
1980 Equatorial Guinea
1990 Equatorial Guinea
2000 Equatorial Guinea
2009 Equatorial Guinea
1960 Eritrea
58 0 0 0 0 0 0 0 0 0.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
58 0 0 0 0 0 0 0 0 0.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
58 1 0 0 1 1 0 0 3 42.86 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
58 1 0 0 1 1 0 0 3 42.86 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
58 0 0 0 0 0 0 0 0 0.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
58 0 0 0 0 0 0 0 0 0.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
59 1 0 0 0 0 0 0 1 14.29
59 1 0 0 0 0 0 0 1 14.29
59 1 0 0 0 0 0 0 1 14.29
59 1 0 0 0 0 0 0 1 14.29
59 1 1 1 0 0 0 0 3 42.86
59 1 1 1 0 0 0 0 3 42.86
60 1 1 1 0 0 0 0 3 42.86 2 1 2 1 0 6 50.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
60 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
60 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
60 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
60 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
60 1 1 1 1 0 0 0 4 57.14 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
61 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
61 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
61 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
61 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
61 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
61 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
62 1 1 1 0 0 0 0 3 42.86 2 1 2 1 0 6 50.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
62 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
62 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
62 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
62 1 1 1 0 0 0 0 3 42.86 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
44

2009 Ethiopia
1960 Fiji
1970 Fiji
1980 Fiji
1990 Fiji
2000 Fiji
2009 Fiji
1960 Finland
1970 Finland
1980 Finland
1990 Finland
2000 Finland
2009 Finland
1960 France
1970 France
1980 France
1990 France
2000 France
2009 France
1960 Gabon
1970 Gabon
1980 Gabon
1990 Gabon
2000 Gabon
2009 Gabon
1960 Gambia, The
1970 Gambia, The
1980 Gambia, The
1990 Gambia, The
62 1 1 1 1 0 0 0 4 57.14 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
64 1 0 0 0 0 0 0 1 14.29 2 2 2 2 1 9 75.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
64 1 0 0 0 0 0 0 1 14.29 2 2 2 2 1 9 75.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
64 1 1 1 1 1 1 0 6 85.71 2 2 2 2 1 9 75.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
64 1 1 1 1 1 1 0 6 85.71 2 2 2 2 1 9 75.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
64 1 1 1 1 1 1 0 6 85.71 2 2 2 2 1 9 75.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
64 1 1 1 1 1 1 0 6 85.71 2 2 2 2 1 9 75.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
65 1 0 0 0 0 0 0 1 14.29 2 2 66.67
65 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
65 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
65 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
65 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
65 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
66 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
66 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
66 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
66 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
66 1 1 1 1 1 1 1 7 100.00 2 1 1 3 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
66 1 1 1 1 1 1 1 7 100.00 2 1 1 3 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
68 2 2 66.67
68 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
68 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
68 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
68 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 2 2 66.67
68 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 2 2 66.67
69 1 1 1 0 0 0 0 3 42.86 2 2 2 1 2 9 75.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
69 1 1 1 0 0 0 0 3 42.86 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
69 1 1 1 0 0 0 0 3 42.86 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
69 1 1 1 0 0 0 0 3 42.86 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
45

2009 Germany
1960 Ghana
1970 Ghana
1980 Ghana
1990 Ghana
2000 Ghana
2009 Ghana
1960 Greece
1970 Greece
1980 Greece
1990 Greece
2000 Greece
2009 Greece
1960 Grenada
1970 Grenada
1980 Grenada
2000 Gambia, The
2009 Gambia, The
1960 Georgia
1970 Georgia
1980 Georgia
1990 Georgia
2000 Georgia
2009 Georgia
1960 Germany
1970 Germany
1980 Germany
1990 Germany
2000 Germany
69 1 1 1 0 0 0 0 3 42.86 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
69 1 1 1 0 0 0 0 3 42.86 2 2 2 3 2 11 91.67 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
70 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
70 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
70 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
70 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
70 1 1 1 1 1 1 1 7 100.00 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 3 3 100.00
70 1 1 1 1 1 1 1 7 100.00 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 3 3 100.00
71 1 1 1 1 1 1 0 6 85.71 2 1 1 1 0 5 41.67 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
71 1 1 1 1 1 1 0 6 85.71 2 1 1 1 0 5 41.67 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
71 1 1 1 1 1 1 0 6 85.71 2 1 1 1 0 5 41.67 1 1 1 3 37.50 1 1 2 66.67 3 3 100.00
71 1 1 1 1 1 1 1 7 100.00 2 1 1 2 0 6 50.00 1 1 1 3 37.50 1 1 2 66.67 3 3 100.00
71 1 1 1 1 1 1 1 7 100.00 2 1 1 2 0 6 50.00 1 1 1 3 37.50 1 1 2 66.67 3 3 100.00
71 1 1 1 1 1 1 1 7 100.00 2 1 1 2 0 6 50.00 1 1 1 3 37.50 1 1 2 66.67 3 3 100.00
72 0 0 0 0 0 0 0 0 0.00
72 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
72 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
72 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
72 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
72 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
73 1 1 0 1 0 0 0 3 42.86 2 2 2 1 2 9 75.00 2 1 2 5 62.50 0 0 0 0.00 1 1 33.33
73 1 1 0 1 0 0 0 3 42.86 2 2 2 1 2 9 75.00 2 1 2 5 62.50 0 0 0 0.00 1 1 33.33
73 1 1 1 1 1 1 0 6 85.71 2 2 2 1 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 1 1 33.33
73 1 1 1 1 1 1 1 7 100.00 2 2 2 1 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
73 1 1 1 1 1 1 1 7 100.00 2 2 2 1 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
73 1 1 1 1 1 1 1 7 100.00 2 2 2 1 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
75 1 1 1 0 0 0 0 3 42.86
75 1 1 1 0 0 0 0 3 42.86
75 1 1 1 0 0 0 0 3 42.86
46

1990 Grenada
2000 Grenada
2009 Grenada
1960 Guatemala
1970 Guatemala
1980 Guatemala
1990 Guatemala
2000 Guatemala
2009 Guatemala
1960 Guinea
1970 Guinea
1980 Guinea
1990 Guinea
2000 Guinea
2009 Guinea
1960 Guinea-Bissau
1970 Guinea-Bissau
1980 Guinea-Bissau
1990 Guinea-Bissau
2000 Guinea-Bissau
2009 Guinea-Bissau
1960 Guyana
1970 Guyana
1980 Guyana
1990 Guyana
2000 Guyana
2009 Guyana
1960 Haiti
1970 Haiti
75 1 1 1 0 0 0 0 3 42.86
75 1 1 1 0 0 0 0 3 42.86
75 1 1 1 0 0 0 0 3 42.86
77 0 0 0 0 0 0 0 0 0.00 2 2 1 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
77 0 0 0 0 0 0 0 0 0.00 2 2 1 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
77 1 0 0 0 0 0 0 1 14.29 2 2 1 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
77 1 0 0 0 0 0 0 1 14.29 2 2 1 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
77 1 0 0 0 0 0 0 1 14.29 2 2 1 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
77 1 0 0 0 0 0 0 1 14.29 2 2 1 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 1 1 33.33
78 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
78 1 1 1 0 0 0 0 3 42.86 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
78 1 1 1 0 0 0 0 3 42.86 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
78 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
78 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
78 1 1 1 1 0 0 0 4 57.14 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
79 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
79 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
79 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
79 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
79 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
79 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
80 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
80 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
80 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
80 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
80 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
80 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
81 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
81 1 1 0 1 1 0 0 4 57.14 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
47

1990 Hungary
2000 Hungary
2009 Hungary
1960 Iceland
1970 Iceland
1980 Iceland
1990 Iceland
2000 Iceland
2009 Iceland
1960 India
1970 India
1980 India
1990 India
2000 India
2009 India
1960 Indonesia
1980 Haiti
1990 Haiti
2000 Haiti
2009 Haiti
1960 Honduras
1970 Honduras
1980 Honduras
1990 Honduras
2000 Honduras
2009 Honduras
1960 Hungary
1970 Hungary
1980 Hungary
81 1 1 0 1 1 0 0 4 57.14 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
81 1 1 0 1 1 0 0 4 57.14 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
81 1 1 0 1 1 0 0 4 57.14 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
81 1 1 0 1 1 0 0 4 57.14 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
82 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
82 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
82 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
82 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
82 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
82 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
84 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
84 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
84 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
84 1 1 1 1 1 1 0 6 85.71 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
84 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
84 1 1 1 1 1 1 1 7 100.00 2 1 1 1 3 8 66.67 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
85 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
85 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
85 1 1 1 1 1 1 0 6 85.71 2 1 1 1 2 7 58.33 2 1 2 5 62.50 0 0 0 0.00 3 3 100.00
85 1 1 1 1 1 1 0 6 85.71 2 1 1 1 2 7 58.33 2 1 2 5 62.50 0 0 0 0.00 3 3 100.00
85 1 1 1 1 1 1 0 6 85.71 2 1 1 1 2 7 58.33 2 1 2 5 62.50 0 0 0 0.00 3 3 100.00
85 1 1 1 1 1 1 0 6 85.71 2 1 1 1 2 7 58.33 2 1 2 5 62.50 0 0 0 0.00 3 3 100.00
86 1 0 0 0 0 0 0 1 14.29 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
86 1 0 0 0 0 0 0 1 14.29 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
86 1 1 1 1 1 1 0 6 85.71 2 2 2 2 0 8 66.67 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
86 1 1 1 1 1 1 0 6 85.71 2 2 2 2 0 8 66.67 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
86 1 1 1 1 1 1 0 6 85.71 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
86 1 1 1 1 1 1 0 6 85.71 2 2 2 3 1 10 83.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
87 0 0 0 0 0 0 0 0 0.00 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
48

1980 Iraq
1990 Iraq
2000 Iraq
2009 Iraq
1960 Ireland
1970 Ireland
1980 Ireland
1990 Ireland
2000 Ireland
2009 Ireland
1960 Israel
1970 Israel
1980 Israel
1990 Israel
2000 Israel
2009 Israel
1970 Indonesia
1980 Indonesia
1990 Indonesia
2000 Indonesia
2009 Indonesia
1960 Iran, Islamic Rep.
1970 Iran, Islamic Rep.
1980 Iran, Islamic Rep.
1990 Iran, Islamic Rep.
2000 Iran, Islamic Rep.
2009 Iran, Islamic Rep.
1960 Iraq
1970 Iraq
87 0 0 0 0 0 0 0 0 0.00 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
87 0 0 0 0 0 0 0 0 0.00 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 2 2 66.67
87 0 0 0 0 0 0 0 0 0.00 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 1 2 66.67 2 2 66.67
87 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
87 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
88 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
88 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
88 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
88 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 1 1 33.33
88 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 3 3 8 100.00 1 1 2 66.67 2 2 66.67
88 1 0 0 0 1 0 0 2 28.57 2 1 1 3 3 10 83.33 2 3 3 8 100.00 1 1 2 66.67 2 2 66.67
89 1 0 0 0 1 0 0 2 28.57 1 1 1 2 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
89 1 0 0 0 1 0 0 2 28.57 1 1 1 2 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
89 1 0 0 0 1 0 0 2 28.57 1 2 2 2 1 8 66.67 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
89 1 0 0 0 1 0 0 2 28.57 1 2 2 3 1 9 75.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
89 1 0 0 0 1 0 0 2 28.57 2 2 2 3 1 10 83.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
89 1 0 0 0 0 0 0 1 14.29 2 2 2 3 1 10 83.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
90 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 0 1 0 1 12.50 0 0 0 0.00 2 2 66.67
90 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 0 1 0 1 12.50 0 0 0 0.00 2 2 66.67
90 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
90 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
90 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
90 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
92 1 1 1 0 0 0 0 3 42.86 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
92 1 1 1 0 0 0 0 3 42.86 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
92 1 1 1 1 1 0 0 5 71.43 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
92 1 1 1 1 1 0 0 5 71.43 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
92 1 1 1 1 1 0 0 5 71.43 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
92 1 1 1 1 1 0 0 5 71.43 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
49

1960 Italy
1970 Italy
1980 Italy
1990 Italy
2000 Italy
2009 Italy
1960 Jamaica
1970 Jamaica
1980 Jamaica
1990 Jamaica
2000 Jamaica
2009 Jamaica
1960 Japan
1970 Japan
1980 Japan
1990 Japan
2000 Japan
2009 Japan
1960 Jordan
1970 Jordan
1980 Jordan
1990 Jordan
2000 Jordan
2009 Jordan
1960 Kazakhstan
1970 Kazakhstan
1980 Kazakhstan
1990 Kazakhstan
2000 Kazakhstan
93 1 0 0 0 0 0 0 1 14.29 1 1 1 2 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 0 0 0.00
93 1 0 0 0 0 0 0 1 14.29 1 1 1 2 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 0 0 0.00
93 1 1 1 1 1 1 1 7 100.00 2 1 1 2 1 7 58.33 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
93 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
93 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
93 1 1 1 1 1 1 1 7 100.00 2 1 1 3 2 9 75.00 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
94 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
94 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
94 1 1 1 0 0 0 0 3 42.86 2 1 2 2 0 7 58.33 2 2 2 6 75.00 1 2 3 100.00 2 2 66.67
94 1 1 1 0 0 0 0 3 42.86 2 1 2 2 3 10 83.33 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
94 1 1 1 0 0 0 0 3 42.86 2 1 2 2 3 10 83.33 2 2 3 7 87.50 1 2 3 100.00 3 3 100.00
94 1 1 1 0 0 0 0 3 42.86 2 1 2 2 3 10 83.33 2 2 3 7 87.50 1 2 3 100.00 2 2 66.67
95 1 1 1 1 1 1 0 6 85.71 0 1 1 1 0 3 25.00 2 1 1 4 50.00 0 0 0 0.00 1 1 33.33
95 1 1 1 1 1 1 0 6 85.71 0 1 1 1 0 3 25.00 2 1 1 4 50.00 0 0 0 0.00 1 1 33.33
95 1 1 1 1 1 1 0 6 85.71 1 1 1 1 0 4 33.33 2 1 1 4 50.00 1 1 2 66.67 1 1 33.33
95 1 1 1 1 1 1 0 6 85.71 1 1 1 1 0 4 33.33 2 1 1 4 50.00 1 1 2 66.67 1 1 33.33
95 1 1 1 1 1 1 0 6 85.71 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 1 2 66.67 1 1 33.33
95 1 1 1 1 1 1 0 6 85.71 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 1 2 66.67 1 1 33.33
96 0 0 0 0 0 0 0 0 0.00 2 2 2 1 0 7 58.33 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
96 0 0 0 0 0 0 0 0 0.00 2 2 2 1 0 7 58.33 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
96 1 1 1 0 0 0 0 3 42.86 2 2 2 1 0 7 58.33 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
96 1 1 1 0 0 0 0 3 42.86 2 2 2 1 0 7 58.33 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
96 1 1 1 0 0 0 0 3 42.86 2 2 2 1 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
96 1 1 1 0 0 0 0 3 42.86 2 2 2 1 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
97 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
97 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
97 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
97 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
97 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
50

2009 Kazakhstan
1960 Kenya
1970 Kenya
1980 Kenya
1990 Kenya
2000 Kenya
2009 Kenya
1960 Kiribati
1970 Kiribati
1980 Kiribati
1990 Kiribati
2000 Kiribati
2009 Kiribati
1960 Korea, Dem. Rep.
1970 Korea, Dem. Rep.
1980 Korea, Dem. Rep.
1990 Korea, Dem. Rep.
2000 Korea, Dem. Rep.
2009 Korea, Dem. Rep.
1960 Korea, Rep.
1970 Korea, Rep.
1980 Korea, Rep.
1990 Korea, Rep.
2000 Korea, Rep.
2009 Korea, Rep.
1960 Kuwait
1970 Kuwait
1980 Kuwait
1990 Kuwait
97 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
98 0 0 0 0 0 0 0 0 0.00 2 1 1 1 1 6 50.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
98 0 0 0 0 0 0 0 0 0.00 2 1 1 1 1 6 50.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
98 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
98 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
98 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
98 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
99
99 1 0 0 0 0 0 0 1 14.29
99 1 0 0 0 0 0 0 1 14.29
99 1 0 0 0 0 0 0 1 14.29
99 1 0 0 0 0 0 0 1 14.29
99 1 0 0 0 0 0 0 1 14.29
100 1 1 1 1 1 1 1 7 100.00
100 1 1 1 1 1 1 1 7 100.00
100 1 1 1 1 1 1 1 7 100.00
100 1 1 1 1 1 1 1 7 100.00
100 1 1 1 1 1 1 1 7 100.00
100 1 1 1 1 1 1 1 7 100.00
101 0 0 0 0 0 0 0 0 0.00 2 1 2 2 0 7 58.33 2 2 1 5 62.50 1 2 3 100.00 0 0 0.00
101 0 0 0 0 0 0 0 0 0.00 2 1 2 2 0 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
101 1 1 0 1 1 0 0 4 57.14 2 1 2 1 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
101 1 1 0 1 1 0 0 4 57.14 2 1 2 3 2 10 83.33 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
101 1 1 0 1 1 0 0 4 57.14 2 1 2 2 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
101 1 1 0 1 1 0 0 4 57.14 2 1 2 2 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
102 1 0 0 0 0 0 0 1 14.29
102 1 0 0 0 0 0 0 1 14.29
102 1 0 0 0 0 0 0 1 14.29
102 1 1 1 0 1 0 0 4 57.14
51

2009 Lao PDR
1960 Latvia
1970 Latvia
1980 Latvia
1990 Latvia
2000 Latvia
2009 Latvia
1960 Lebanon
1970 Lebanon
1980 Lebanon
1990 Lebanon
2000 Lebanon
2009 Lebanon
1960 Lesotho
1970 Lesotho
1980 Lesotho
2000 Kuwait
2009 Kuwait
1960 Kyrgyz Republic
1970 Kyrgyz Republic
1980 Kyrgyz Republic
1990 Kyrgyz Republic
2000 Kyrgyz Republic
2009 Kyrgyz Republic
1960 Lao PDR
1970 Lao PDR
1980 Lao PDR
1990 Lao PDR
2000 Lao PDR
102 1 1 1 0 1 0 0 4 57.14
102 1 1 1 0 1 0 0 4 57.14
103 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
103 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
103 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
103 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
103 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 1 1 33.33
103 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 1 1 33.33
104 0 0 0 0 0 0 0 0 0.00
104 0 0 0 0 0 0 0 0 0.00
104 0 0 0 0 0 0 0 0 0.00
104 1 0 0 0 0 0 0 1 14.29
104 1 0 0 0 0 0 0 1 14.29
104 1 0 0 0 0 0 0 1 14.29
105 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
105 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
105 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
105 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
105 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
105 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
106 0 0 0 0 0 0 0 0 0.00 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
106 1 0 0 0 0 0 0 1 14.29 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
106 1 0 0 0 0 0 0 1 14.29 1 1 2 1 0 5 41.67 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
106 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
106 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
106 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
107 0 0 0 0 0 0 0 0 0.00
107 0 0 0 0 0 0 0 0 0.00 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
107 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
52

1990 Lesotho
2000 Lesotho
2009 Lesotho
1960 Liberia
1970 Liberia
1980 Liberia
1990 Liberia
2000 Liberia
2009 Liberia
1960 Libya
1970 Libya
1980 Libya
1990 Libya
2000 Libya
2009 Libya
1960 Liechtenstein
1970 Liechtenstein
1980 Liechtenstein
1990 Liechtenstein
2000 Liechtenstein
2009 Liechtenstein
1960 Lithuania
1970 Lithuania
1980 Lithuania
1990 Lithuania
2000 Lithuania
2009 Lithuania
1960 Luxembourg
1970 Luxembourg
107 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
107 1 0 0 0 0 0 0 1 14.29 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
107 1 0 0 0 0 0 0 1 14.29 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
108 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
108 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
108 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
108 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
108 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
108 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
109 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
109 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
109 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 1 2 66.67 2 2 66.67
109 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
109 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
109 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
110 0 0 0 0 0 0 0 0 0.00 2 2 66.67
110 0 0 0 0 0 0 0 0 0.00
110 0 0 0 0 0 0 0 0 0.00
110 1 1 1 0 0 0 0 3 42.86
2
2
3
2
2
3
66.67
66.67
100.00
110 1 1 1 0 0 0 0 3 42.86
110 1 1 1 0 0 0 0 3 42.86
3
3
3
3
100.00
100.00
111 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
111 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
111 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
111 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
111 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
111 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
112 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 0 0 0 0.00 2 2 66.67
112 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 0 0 0 0.00 2 2 66.67
53

1980 Luxembourg
1990 Luxembourg
2000 Luxembourg
2009 Luxembourg
1960 Macedonia, FYR
1970 Macedonia, FYR
1980 Macedonia, FYR
1990 Macedonia, FYR
2000 Macedonia, FYR
2009 Macedonia, FYR
1960 Madagascar
1970 Madagascar
1980 Madagascar
1990 Madagascar
2000 Madagascar
2009 Madagascar
1960 Malawi
1970 Malawi
1980 Malawi
1990 Malawi
2000 Malawi
2009 Malawi
1960 Malaysia
1970 Malaysia
1980 Malaysia
1990 Malaysia
2000 Malaysia
2009 Malaysia
1960 Maldives
112 1 1 1 1 1 1 0 6 85.71 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
112 1 1 1 1 1 1 0 6 85.71 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
112 1 1 1 1 1 1 0 6 85.71 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
112 1 1 1 1 1 1 0 6 85.71 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
114 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
114 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
114 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
114 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
114 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
114 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
115 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 2 4 50.00 0 0 0 0.00 2 2 66.67
115 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 2 4 50.00 0 0 0 0.00 2 2 66.67
115 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 2 4 50.00 0 0 0 0.00 2 2 66.67
115 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
115 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
115 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 2 2 66.67
116 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 0 0 0 0.00 2 2 66.67
116 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 0 0 0 0.00 2 2 66.67
116 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 0 0 0 0.00 2 2 66.67
116 1 0 0 0 0 0 0 1 14.29 2 1 1 1 3 8 66.67 2 1 3 6 75.00 0 0 0 0.00 3 3 100.00
116 1 0 0 0 0 0 0 1 14.29 2 1 1 2 3 9 75.00 2 2 3 7 87.50 0 0 0 0.00 2 2 66.67
116 1 0 0 0 0 0 0 1 14.29 2 1 1 2 3 9 75.00 2 2 3 7 87.50 0 0 0 0.00 2 2 66.67
117 1 0 0 0 0 0 0 1 14.29 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
117 1 0 0 0 0 0 0 1 14.29 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
117 1 0 0 0 0 0 0 1 14.29 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
117 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
117 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
117 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
118 1 1 0 0 0 0 0 2 28.57
54

1970 Maldives
1980 Maldives
1990 Maldives
2000 Maldives
2009 Maldives
1960 Mali
1970 Mali
1980 Mali
1990 Mali
2000 Mali
2009 Mali
1960 Malta
1970 Malta
1980 Malta
1990 Malta
2000 Malta
2009 Malta
1960 Marshall Islands
1970 Marshall Islands
1980 Marshall Islands
1990 Marshall Islands
2000 Marshall Islands
2009 Marshall Islands
1960 Mauritania
1970 Mauritania
1980 Mauritania
1990 Mauritania
2000 Mauritania
2009 Mauritania
118 1 1 0 0 0 0 0 2 28.57
118 1 1 0 0 0 0 0 2 28.57
118 1 1 0 0 0 0 0 2 28.57
118 1 1 0 0 0 0 0 2 28.57
118 1 1 0 0 0 0 0 2 28.57
119 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
119 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
119 1 0 0 0 0 0 0 1 14.29 2 2 2 1 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
119 1 0 0 0 0 0 0 1 14.29 2 2 2 1 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
119 1 0 0 0 0 0 0 1 14.29 2 2 2 1 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
119 1 0 0 1 0 0 0 2 28.57 2 2 2 1 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
120 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
120 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
120 1 0 0 0 0 0 0 1 14.29 1 1 1 1 2 6 50.00 2 1 2 5 62.50 0 0 0 0.00 2 2 66.67
120 0 0 0 0 0 0 0 0 0.00 1 1 1 1 2 6 50.00 2 1 2 5 62.50 0 0 0 0.00 1 1 33.33
120 0 0 0 0 0 0 0 0 0.00 1 1 1 1 2 6 50.00 2 1 2 5 62.50 0 0 0 0.00 1 1 33.33
120 0 0 0 0 0 0 0 0 0.00 1 1 1 1 2 6 50.00 2 1 2 5 62.50 0 0 0 0.00 2 2 66.67
121
121
121 1 0 0 0 0 0 0 1 14.29
121 1 0 0 0 0 0 0 1 14.29
121 1 0 0 0 0 0 0 1 14.29
121 1 0 0 0 0 0 0 1 14.29
122 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
122 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
122 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
122 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 1 1 33.33
122 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 1 1 33.33
122 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
55

1960 Mauritius
1970 Mauritius
1980 Mauritius
1990 Mauritius
2000 Mauritius
2009 Mauritius
1960 Mexico
1970 Mexico
1980 Mexico
1990 Mexico
2000 Mexico
2009 Mexico
1960 Micronesia, Fed. Sts.
1970 Micronesia, Fed. Sts.
1980 Micronesia, Fed. Sts.
1990 Micronesia, Fed. Sts.
2000 Micronesia, Fed. Sts.
2009 Micronesia, Fed. Sts.
1960 Moldova
1970 Moldova
1980 Moldova
1990 Moldova
2000 Moldova
2009 Moldova
1960 Monaco
1970 Monaco
1980 Monaco
1990 Monaco
2000 Monaco
123 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
123 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
123 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
123 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
123 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
123 1 0 0 0 0 0 0 1 14.29 2 1 1 3 3 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
125 1 0 0 1 0 0 0 2 28.57 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
125 1 0 0 1 0 0 0 2 28.57 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
125 1 0 0 1 0 0 0 2 28.57 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
125 1 1 0 1 1 0 0 4 57.14 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
125 1 1 0 1 1 0 0 4 57.14 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
125 1 1 0 1 1 0 0 4 57.14 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
126
126
126 1 0 0 0 0 0 0 1 14.29
126 1 0 0 0 0 0 0 1 14.29
126 1 0 0 0 0 0 0 1 14.29
126 1 0 0 0 0 0 0 1 14.29
127 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
127 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
127 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
127 1 1 1 1 1 1 1 7 100.00
127 1 1 1 1 1 1 1 7 100.00
127 1 1 1 1 1 1 1 7 100.00 2 2 16.67 2 2 25.00 1 1 33.33 3 3 100.00
128 0 0 0 0 0 0 0 0 0.00 2 2 66.67
128 1 0 0 0 0 0 0 1 14.29
128 1 0 0 0 0 0 0 1 14.29
128 1 0 0 0 0 0 0 1 14.29
128 1 0 0 0 0 0 0 1 14.29
2 2 66.67
2 2 66.67
56

2009 Monaco
1960 Mongolia
1970 Mongolia
1980 Mongolia
1990 Mongolia
2000 Mongolia
2009 Mongolia
1960 Morocco
1970 Morocco
1980 Morocco
1990 Morocco
2000 Morocco
2009 Morocco
1960 Mozambique
1970 Mozambique
1980 Mozambique
1990 Mozambique
2000 Mozambique
2009 Mozambique
1960 Myanmar
1970 Myanmar
1980 Myanmar
1990 Myanmar
2000 Myanmar
2009 Myanmar
1960 Namibia
1970 Namibia
1980 Namibia
1990 Namibia
128 1 1 0 1 1 0 0 4 57.14
129 1 0 0 0 0 0 0 1 14.29
129 1 0 0 0 0 0 0 1 14.29
129 1 0 0 0 0 0 0 1 14.29
129 1 1 1 1 1 1 1 7 100.00
2 2 66.67
2 2 66.67
2 2 66.67
2 2 66.67
1 1 33.33
129 1 1 1 1 1 1 1 7 100.00
129 1 1 1 1 1 1 1 7 100.00
3
3
3
3
100.00
100.00
130 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
130 1 1 1 0 0 0 0 3 42.86 2 2 1 1 3 9 75.00 0 0 3 3 37.50 0 0 0 0.00 2 2 66.67
130 1 1 1 0 0 0 0 3 42.86 2 2 1 1 3 9 75.00 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
130 1 1 1 0 0 0 0 3 42.86 2 2 1 1 3 9 75.00 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
130 1 1 1 0 0 0 0 3 42.86 2 2 1 1 3 9 75.00 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
130 1 1 1 0 0 0 0 3 42.86 2 2 1 1 3 9 75.00 2 1 3 6 75.00 1 1 2 66.67 3 3 100.00
131 1 0 0 0 0 0 0 1 14.29
131 1 0 0 0 0 0 0 1 14.29
131 1 1 0 0 0 0 1 3 42.86
131 1 1 0 0 0 0 1 3 42.86
131 1 1 0 0 0 0 1 3 42.86
131 1 1 0 0 0 0 1 3 42.86
2 2 66.67
2 2 66.67
3 3 100.00
3 3 100.00
3 3 100.00
2 2 66.67
132 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
132 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
132 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
132 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
132 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
132 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 1 1 33.33
133 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 3 3 100.00
133 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 3 3 100.00
133 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 3 3 100.00
133 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
57

2000 Namibia
2009 Namibia
1960 Nepal
1970 Nepal
1980 Nepal
1990 Nepal
2000 Nepal
2009 Nepal
1960 Netherlands
1970 Netherlands
1980 Netherlands
1990 Netherlands
2000 Netherlands
2009 Netherlands
1960 New Zealand
1970 New Zealand
1980 New Zealand
1990 New Zealand
2000 New Zealand
2009 New Zealand
1960 Nicaragua
1970 Nicaragua
1980 Nicaragua
1990 Nicaragua
2000 Nicaragua
2009 Nicaragua
1960 Niger
1970 Niger
1980 Niger
133 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
133 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
134 0 0 0 0 0 0 0 0 0.00 2 2 2 3 3 12 100.00 2 3 3 8 100.00 0 0 0 0.00 2 2 66.67
134 0 0 0 0 0 0 0 0 0.00 2 2 2 3 3 12 100.00 2 3 3 8 100.00 0 0 0 0.00 2 2 66.67
134 1 0 0 0 0 0 0 1 14.29 2 2 2 3 3 12 100.00 2 3 3 8 100.00 0 0 0 0.00 2 2 66.67
134 1 0 0 0 0 0 0 1 14.29 2 2 2 3 3 12 100.00 2 3 3 8 100.00 0 0 0 0.00 3 3 100.00
134 1 0 0 0 0 0 0 1 14.29 2 2 2 3 3 12 100.00 2 3 3 8 100.00 0 0 0 0.00 3 3 100.00
134 1 1 1 1 1 1 1 7 100.00 2 2 2 3 3 12 100.00 2 3 3 8 100.00 0 0 0 0.00 3 3 100.00
135 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
135 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
135 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
135 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
135 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
135 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
138 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 0 0 0.00
138 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 0 0 0.00
138 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
138 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
138 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
138 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
139 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
139 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
139 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
139 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
139 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
139 0 0 0 0 0 0 0 0 0.00 2 1 1 3 0 7 58.33 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
140 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 3 0 4 50.00 0 0 0 0.00 2 2 66.67
140 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 3 0 4 50.00 0 0 0 0.00 2 2 66.67
140 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 3 0 4 50.00 0 0 0 0.00 2 2 66.67
58

2000 Norway
2009 Norway
1960 Oman
1970 Oman
1980 Oman
1990 Oman
2000 Oman
2009 Oman
1960 Pakistan
1970 Pakistan
1980 Pakistan
1990 Pakistan
2000 Pakistan
2009 Pakistan
1960 Palau
1970 Palau
1990 Niger
2000 Niger
2009 Niger
1960 Nigeria
1970 Nigeria
1980 Nigeria
1990 Nigeria
2000 Nigeria
2009 Nigeria
1960 Norway
1970 Norway
1980 Norway
1990 Norway
140 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
140 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
140 1 1 0 0 1 0 0 3 42.86 2 1 2 1 1 7 58.33 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
141 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
141 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
141 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
141 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
141 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
141 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
143 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
143 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
143 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
143 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
143 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
143 1 1 1 1 1 1 1 7 100.00 2 1 2 1 1 7 58.33 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
144 1 0 0 0 0 0 0 1 14.29
144 1 0 0 0 0 0 0 1 14.29
144 1 0 0 0 0 0 0 1 14.29
144 1 0 0 0 0 0 0 1 14.29
144 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 1 2 66.67
144 1 0 0 0 0 0 0 1 14.29 2 2 2 2 0 8 66.67 2 1 0 3 37.50 1 1 2 66.67
145 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 2 3 100.00 2 2 66.67
145 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
145 1 0 0 0 0 0 0 1 14.29 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
145 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
145 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
145 1 1 1 0 0 0 0 3 42.86 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 2 3 100.00 3 3 100.00
146 1 0 0 0 0 0 0 1 14.29
146 1 0 0 0 0 0 0 1 14.29
59

1980 Palau
1990 Palau
2000 Palau
2009 Palau
1960 Panama
1970 Panama
1980 Panama
1990 Panama
2000 Panama
2009 Panama
1960 Papua New Guinea
1970 Papua New Guinea
1980 Papua New Guinea
1990 Papua New Guinea
2000 Papua New Guinea
2009 Papua New Guinea
1960 Paraguay
1970 Paraguay
1980 Paraguay
1990 Paraguay
2000 Paraguay
2009 Paraguay
1960 Peru
1970 Peru
1980 Peru
1990 Peru
2000 Peru
2009 Peru
1960 Philippines
146 1 0 0 0 0 0 0 1 14.29
146 1 0 0 0 0 0 0 1 14.29
146 1 0 0 0 0 0 0 1 14.29
146 1 0 0 0 0 0 0 1 14.29
147 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
147 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
147 1 0 0 0 0 0 0 1 14.29 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
147 1 1 0 1 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
147 1 1 0 1 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
147 1 1 0 1 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 1 1 2 66.67 3 3 100.00
148 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
148 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
148 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
148 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 3 0 5 62.50 1 2 3 100.00 3 3 100.00
148 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
148 1 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 3 1 6 75.00 1 2 3 100.00 2 2 66.67
149 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
149 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
149 0 0 0 0 0 0 0 0 0.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
149 0 0 0 0 0 0 0 0 0.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
149 1 0 0 0 0 0 0 1 14.29 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
149 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
150 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
150 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
150 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 1 0 3 37.50 1 1 2 66.67 1 1 33.33
150 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 1 0 3 37.50 1 1 2 66.67 1 1 33.33
150 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
150 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
151 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
60

1980 Portugal
1990 Portugal
2000 Portugal
2009 Portugal
1960 Qatar
1970 Qatar
1980 Qatar
1990 Qatar
2000 Qatar
2009 Qatar
1960 Romania
1970 Romania
1980 Romania
1990 Romania
2000 Romania
2009 Romania
1970 Philippines
1980 Philippines
1990 Philippines
2000 Philippines
2009 Philippines
1960 Poland
1970 Poland
1980 Poland
1990 Poland
2000 Poland
2009 Poland
1960 Portugal
1970 Portugal
151 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
151 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
151 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
151 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
151 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
152 1 1 1 1 1 1 0 6 85.71 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
152 1 1 1 1 1 1 0 6 85.71 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
152 1 1 1 1 1 1 0 6 85.71 2 1 1 2 1 7 58.33 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
152 1 1 1 1 1 1 0 6 85.71 2 1 1 2 1 7 58.33 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
152 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 3 2 7 87.50 1 1 2 66.67 2 2 66.67
152 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 3 2 7 87.50 1 1 2 66.67 2 2 66.67
153 1 0 0 0 0 0 0 1 14.29 2 2 66.67
153 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
153 1 0 0 0 0 0 0 1 14.29 2 1 1 3 1 8 66.67 2 1 0 3 37.50 1 1 2 66.67 3 3 100.00
153 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 1 1 4 50.00 1 1 2 66.67 3 3 100.00
153 1 1 1 1 1 0 0 5 71.43 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
153 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 1 2 66.67 3 3 100.00
155 0 0 0 0 0 0 0 0 0.00
155 0 0 0 0 0 0 0 0 0.00
155 1 0 0 0 0 0 0 1 14.29
155 1 1 1 0 1 0 0 4 57.14
155 1 1 1 0 1 0 0 4 57.14
155 1 1 1 0 1 0 0 4 57.14
156 1 1 1 1 1 1 1 7 100.00 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 2 2 66.67
156 1 1 1 1 1 0 0 5 71.43 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
156 1 1 1 1 1 0 0 5 71.43 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
156 1 1 1 1 1 1 1 7 100.00 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
156 1 1 1 1 1 1 1 7 100.00 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
156 1 1 1 1 1 1 1 7 100.00 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 2 3 100.00 3 3 100.00
61

1960 Russian Federation
1970 Russian Federation
1980 Russian Federation
1990 Russian Federation
2000 Russian Federation
2009 Russian Federation
1960 Rwanda
1970 Rwanda
1980 Rwanda
1990 Rwanda
2000 Rwanda
2009 Rwanda
1960 Samoa
1970 Samoa
1980 Samoa
1990 Samoa
2000 Samoa
2009 Samoa
1960 San Marino
1970 San Marino
1980 San Marino
1990 San Marino
2000 San Marino
2009 San Marino
1960 Sao Tome and Principe
1970 Sao Tome and Principe
1980 Sao Tome and Principe
1990 Sao Tome and Principe
2000 Sao Tome and Principe
157 1 1 1 1 1 1 1 7 100.00 2 1 2 1 3 9 75.00 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
157 1 1 1 1 1 1 1 7 100.00 2 1 2 1 3 9 75.00 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
157 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
157 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
157 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
157 1 1 1 1 1 1 1 7 100.00 3 3 100.00
158 1 0 0 0 0 0 0 1 14.29 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
158 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
158 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
158 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
158 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
158 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 1 1 33.33
159
159 1 1 1 0 0 0 0 3 42.86
159 1 1 1 0 0 0 0 3 42.86
159 1 1 1 0 0 0 0 3 42.86
159 1 1 1 0 0 0 0 3 42.86
159 1 1 1 0 0 0 0 3 42.86
160 1 0 0 0 0 0 0 1 14.29
160 1 0 0 0 0 0 0 1 14.29
160 1 0 0 0 0 0 0 1 14.29
160 1 0 0 0 0 0 0 1 14.29
160 1 0 0 0 0 0 0 1 14.29
160 1 0 0 0 0 0 0 1 14.29
161 1 0 0 0 0 0 0 1 14.29
161 1 0 0 0 0 0 0 1 14.29
161 1 0 0 0 0 0 0 1 14.29
161 1 0 0 0 0 0 0 1 14.29
161 1 0 0 0 0 0 0 1 14.29
62

2009 Sao Tome and Principe
1960 Saudi Arabia
1970 Saudi Arabia
1980 Saudi Arabia
1990 Saudi Arabia
2000 Saudi Arabia
2009 Saudi Arabia
1960 Senegal
1970 Senegal
1980 Senegal
1990 Senegal
2000 Senegal
2009 Senegal
1960 Seychelles
1970 Seychelles
1980 Seychelles
1990 Seychelles
2000 Seychelles
2009 Seychelles
1960 Sierra Leone
1970 Sierra Leone
1980 Sierra Leone
1990 Sierra Leone
2000 Sierra Leone
2009 Sierra Leone
1960 Singapore
1970 Singapore
1980 Singapore
1990 Singapore
161 1 0 0 0 0 0 0 1 14.29
162 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
162 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
162 0 0 0 0 0 0 0 0 0.00 1 1 33.33
162 1 1 1 0 0 0 0 3 42.86 1 1 33.33
162 1 1 1 0 0 0 0 3 42.86 1 1 33.33
162 1 1 1 0 0 0 0 3 42.86 2 1 2 1 0 6 50.00 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
163 1 0 0 0 0 0 0 1 14.29 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
163 1 0 0 0 0 0 0 1 14.29 1 1 2 1 0 5 41.67 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
163 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
163 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
163 1 0 0 0 0 0 0 1 14.29 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
163 1 0 0 0 0 0 0 1 14.29 2 1 2 3 1 9 75.00 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
165
165
165
165 1 1 1 1 1 0 0 5 71.43
165 1 1 1 1 1 0 0 5 71.43
165
166 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
166 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
166 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
166 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
166 1 1 1 0 0 0 0 3 42.86 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
166 1 1 1 0 0 0 0 3 42.86 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 2 3 100.00 2 2 66.67
167 1 0 0 0 0 0 0 1 14.29 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
167 1 1 1 1 1 1 1 7 100.00 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
167 1 1 1 1 1 1 1 7 100.00 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
167 1 1 1 1 1 1 1 7 100.00 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
63

2000 Singapore
2009 Singapore
1960 Slovak Republic
1970 Slovak Republic
1980 Slovak Republic
1990 Slovak Republic
2000 Slovak Republic
2009 Slovak Republic
1960 Slovenia
1970 Slovenia
1980 Slovenia
1990 Slovenia
2000 Slovenia
2009 Slovenia
1960 Solomon Islands
1970 Solomon Islands
1980 Solomon Islands
1990 Solomon Islands
2000 Solomon Islands
2009 Solomon Islands
1960 Somalia
1970 Somalia
1980 Somalia
1990 Somalia
2000 Somalia
2009 Somalia
1960 South Africa
1970 South Africa
1980 South Africa
167 1 1 1 1 1 1 1 7 100.00 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
167 1 1 1 1 1 1 1 7 100.00 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
168 1 1 1 1 1 1 0 6 85.71 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
168 1 1 1 1 1 1 0 6 85.71 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
168 1 1 1 1 1 1 0 6 85.71 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
168 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
168 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
168 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 1 2 5 62.50 1 1 2 66.67 3 3 100.00
169 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
169 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
169 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
169 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
169 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
169 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
170
170 1 0 0 0 0 0 0 1 14.29
170 1 0 0 0 0 0 0 1 14.29
170 1 0 0 0 0 0 0 1 14.29
170 1 0 0 0 0 0 0 1 14.29
170 1 0 0 0 0 0 0 1 14.29
171 0 0 0 0 0 0 0 0 0.00 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
171 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
171 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
171 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 1 1 33.33
171 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
171 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
172 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
172 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
172 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 3 3 100.00
64

1990 South Africa
2000 South Africa
2009 South Africa
1960 Spain
1970 Spain
1980 Spain
1990 Spain
2000 Spain
2009 Spain
1960 Sri Lanka
1970 Sri Lanka
1980 Sri Lanka
1990 Sri Lanka
172 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 3 3 100.00
172 1 1 1 1 1 1 1 7 100.00 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 3 3 100.00
172 1 1 1 1 1 1 1 7 100.00 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 3 3 100.00
173 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
173 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
173 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
173 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
173 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
173 1 1 1 1 1 0 0 5 71.43 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
174 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
174 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
174 1 0 0 0 0 0 0 1 14.29 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
174 1 0 0 0 0 0 0 1 14.29 2 1 2 2 2 9 75.00 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
2000 Sri Lanka
2009 Sri Lanka
1960 St. Kitts and Nevis
1970 St. Kitts and Nevis
1980 St. Kitts and Nevis
1990 St. Kitts and Nevis
2000 St. Kitts and Nevis
2009 St. Kitts and Nevis
1960 St. Lucia
1970 St. Lucia
1980 St. Lucia
1990 St. Lucia
174 1
174 1
175 1
175 1
175 1
175 1
176 1
176 1 1 1 0 0 0 0 3 42.86
176 1 1 1 0 0 0 0 3 42.86
176 1
0
0
1
1
1
1
1
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
3
3
3
3
14.29 2
14.29 2
42.86
42.86
42.86
42.86
42.86
42.86
1
1
2
2
2
2
2
2
9
9
175 1 1 1 0 0 0 0 3 42.86
175 1 1 1 0 0 0 0 3 42.86
2000 St. Lucia
2009 St. Lucia
176 1 1 1 0 0 0 0 3 42.86
176 1 1 1 0 0 0 0 3 42.86
1960 St. Vincent and the Grenadines 177 1 0 0 0 0 0 0 1 14.29
1970 St. Vincent and the Grenadines 177 1 0 0 0 0 0 0 1 14.29
75.00 2
75.00 2
2
2
2
2
6
6
75.00 1
75.00 1
1
1
2
2
66.67 3
66.67 3
3
3
3
3
3
3
100.00
100.00
100.00
100.00
65

1980 St. Vincent and the Grenadines 177 1 0 0 0 0 0 0 1 14.29
1990 St. Vincent and the Grenadines 177 1 1 1 1 1 1 0 6 85.71
2000 St. Vincent and the Grenadines 177 1 1 1 1 1 1 0 6 85.71
2009 St. Vincent and the Grenadines 177 1 1 1 1 1 1 0 6 85.71
1960 Sudan 178 1 0 0 0 0 0 0 1 14.29 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
1970 Sudan
1980 Sudan
1990 Sudan
2000 Sudan
2009 Sudan
1960 Suriname
1970 Suriname
1980 Suriname
178 1
178 1
178 1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
14.29 2
14.29 2
14.29 2
2
2
2
2
2
2
1
1
1
3
3
3
10 83.33 2
10 83.33 2
10 83.33 2
1
1
1
3
3
3
6
6
6
75.00 1
75.00 1
75.00 1
1
1
1
2
2
2
66.67 2
66.67 2
66.67 1
2
2
1
66.67
66.67
33.33
178 1 0 0 1 0 0 0 2 28.57 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 1 2 66.67 1 1 33.33
178 1 0 0 1 0 0 0 2 28.57 2 2 2 1 3 10 83.33 2 1 3 6 75.00 1 1 2 66.67 1 1 33.33
179 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 0 0 0 0.00 2 2 66.67
179 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
179 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 2 1 5 62.50 1 1 2 66.67 2 2 66.67
1990 Suriname
2000 Suriname
2009 Suriname
1960 Swaziland
1970 Swaziland
1980 Swaziland
1990 Swaziland
2000 Swaziland
2009 Swaziland
1960 Sweden
1970 Sweden
1980 Sweden
1990 Sweden
2000 Sweden
2009 Sweden
1960 Switzerland
179 1
179 1
179 1
181 1
181 1
181 1
182 1
0
0
0
1
1
1
1
0
0
0
1
1
1
1
0
0
0
1
1
1
0
0
0
0
1
1
1
0
0
0
0
1
1
1
0
0
0
0
1
1
1
0
1
1
1
7
7
7
3
14.29 2
14.29 2
14.29 2
100.00 2
100.00 2
100.00 2
42.86 2
1
1
1
1
1
1
1
1
1
1
2
2
2
1
1
1
1
2
2
2
1
1
1
1
0
0
0
0
6
6
6
7
7
7
5
50.00 2
50.00 2
50.00 2
58.33 2
58.33 2
58.33 2
41.67 2
2
2
2
2
2
2
1
1
1
1
0
0
0
0
5
5
5
4
4
4
3
62.50 1
62.50 1
62.50 1
50.00 1
50.00 1
50.00 1
37.50 0
1
1
1
2
2
2
0
2
2
2
3
3
3
0
66.67 2
66.67 2
66.67 2
100.00 3
100.00 3
100.00 3
0.00 2
2
2
2
3
3
3
2
66.67
66.67
66.67
180 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
180 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
180 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
180 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
180 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
180 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
181 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
181 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
181 1 1 1 1 1 1 1 7 100.00 2 1 2 1 0 6 50.00 2 1 0 3 37.50 1 2 3 100.00 3 3 100.00
100.00
100.00
100.00
66.67
66

1980 Tajikistan
1990 Tajikistan
2000 Tajikistan
2009 Tajikistan
1960 Tanzania
1970 Tanzania
1980 Tanzania
1990 Tanzania
2000 Tanzania
2009 Tanzania
1960 Thailand
1970 Thailand
1980 Thailand
1990 Thailand
2000 Thailand
2009 Thailand
1970 Switzerland
1980 Switzerland
1990 Switzerland
2000 Switzerland
2009 Switzerland
1960 Syrian Arab Republic
1970 Syrian Arab Republic
1980 Syrian Arab Republic
1990 Syrian Arab Republic
2000 Syrian Arab Republic
2009 Syrian Arab Republic
1960 Tajikistan
1970 Tajikistan
182 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
182 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 2 2 66.67
182 1 1 1 0 0 0 0 3 42.86 2 1 1 1 0 5 41.67 2 1 0 3 37.50 0 0 0 0.00 3 3 100.00
182 1 1 1 0 0 0 0 3 42.86 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
182 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 0 0 0 0.00 3 3 100.00
183 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 2 3 100.00 2 2 66.67
183 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 2 3 100.00 2 2 66.67
183 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
183 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 1 1 33.33
183 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 1 1 33.33
183 1 0 0 0 0 0 0 1 14.29 2 1 1 3 0 7 58.33 2 3 0 5 62.50 1 2 3 100.00 2 2 66.67
185 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
185 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
185 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
185 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
185 1 1 1 1 1 1 1 7 100.00 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
185 1 1 1 1 1 1 1 7 100.00 3 3 100.00
186 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
186 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
186 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
186 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 1 3 6 75.00 1 2 3 100.00 2 2 66.67
186 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
186 1 1 1 0 0 0 0 3 42.86 2 2 2 3 1 10 83.33 2 1 3 6 75.00 1 2 3 100.00 3 3 100.00
187 1 1 1 1 0 0 0 4 57.14 2 1 1 2 0 6 50.00 2 2 2 6 75.00 1 2 3 100.00 2 2 66.67
187 1 1 1 1 0 0 0 4 57.14 2 1 2 2 0 7 58.33 2 2 2 6 75.00 1 2 3 100.00 2 2 66.67
187 1 1 1 1 0 0 0 4 57.14 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
187 1 1 1 1 0 0 0 4 57.14 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
187 1 1 1 1 0 0 0 4 57.14 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
187 1 1 1 1 0 0 0 4 57.14 2 1 2 3 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
67

1960 Togo
1970 Togo
1980 Togo
1990 Togo
2000 Togo
2009 Togo
1960 Tonga
1970 Tonga
1980 Tonga
1990 Tonga
2000 Tonga
2009 Tonga
1960 Trinidad and Tobago
1970 Trinidad and Tobago
1980 Trinidad and Tobago
1990 Trinidad and Tobago
2000 Trinidad and Tobago
2009 Trinidad and Tobago
1960 Tunisia
1970 Tunisia
1980 Tunisia
1990 Tunisia
2000 Tunisia
2009 Tunisia
1960 Turkey
1970 Turkey
1980 Turkey
1990 Turkey
2000 Turkey
189 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
189 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
189 0 0 0 0 0 0 0 0 0.00 0 0 0 0 0 0 0.00 0 0 0 0 0.00 0 0 0 0.00 2 2 66.67
189 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 1 1 33.33
189 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
189 1 1 1 1 1 0 0 5 71.43 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
190 1 0 0 0 0 0 0 1 14.29
190 1 0 0 0 0 0 0 1 14.29
190 1 0 0 0 0 0 0 1 14.29
190 1 0 0 0 0 0 0 1 14.29
190 1 0 0 0 0 0 0 1 14.29
190 1 0 0 0 0 0 0 1 14.29
191 1 1 1 0 0 0 0 3 42.86 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 2 3 100.00 2 2 66.67
191 1 1 1 0 0 0 0 3 42.86 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 2 3 100.00 2 2 66.67
191 1 1 1 0 0 0 0 3 42.86 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 2 3 100.00 2 2 66.67
191 1 1 1 0 0 0 0 3 42.86 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 2 3 100.00 3 3 100.00
191 1 1 1 0 0 0 0 3 42.86 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 2 3 100.00 3 3 100.00
191 1 1 1 0 0 0 0 3 42.86 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 2 3 100.00 3 3 100.00
192 1 0 0 0 0 0 0 1 14.29 1 1 1 1 0 4 33.33 1 1 0 2 25.00 1 2 3 100.00 2 2 66.67
192 1 0 0 0 0 0 0 1 14.29 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 2 2 66.67
192 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
192 1 1 1 1 1 1 1 7 100.00 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
192 1 1 1 1 1 1 1 7 100.00 2 1 2 1 1 7 58.33 2 1 1 4 50.00 1 2 3 100.00 3 3 100.00
192 1 1 1 1 1 1 1 7 100.00 2 1 2 2 1 8 66.67 2 2 1 5 62.50 1 2 3 100.00 3 3 100.00
193 1 1 1 0 1 0 0 4 57.14 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
193 1 1 1 0 1 0 0 4 57.14 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
193 1 1 1 0 1 0 0 4 57.14 2 1 1 1 1 6 50.00 2 1 1 4 50.00 1 1 2 66.67 2 2 66.67
193 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
193 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
68

2009 Turkey
1960 Turkmenistan
1970 Turkmenistan
1980 Turkmenistan
1990 Turkmenistan
2000 Turkmenistan
2009 Turkmenistan
1960 Uganda
1970 Uganda
1980 Uganda
1990 Uganda
2000 Uganda
2009 Uganda
1960 Ukraine
1970 Ukraine
1980 Ukraine
1990 Ukraine
2000 Ukraine
2009 Ukraine
1960 United Arab Emirates
1970 United Arab Emirates
1980 United Arab Emirates
1990 United Arab Emirates
2000 United Arab Emirates
2009 United Arab Emirates
1960 United Kingdom
1970 United Kingdom
1980 United Kingdom
1990 United Kingdom
193 1 1 1 1 1 1 1 7 100.00 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 3 3 100.00
194 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
194 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
194 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
194 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
194 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
194 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
195 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 0 0 0 0.00 2 2 66.67
195 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 0 0 0 0.00 2 2 66.67
195 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 0 0 0 0.00 2 2 66.67
195 1 1 1 0 0 0 0 3 42.86 2 1 1 2 0 6 50.00 2 2 0 4 50.00 0 0 0 0.00 3 3 100.00
195 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
195 1 1 1 0 0 0 0 3 42.86 2 1 1 3 1 8 66.67 2 3 1 6 75.00 1 2 3 100.00 3 3 100.00
196 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
196 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
196 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
196 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
196 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
196 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
197 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
197 0 0 0 0 0 0 0 0 0.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
197 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
197 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
197 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
197 1 0 0 0 0 0 0 1 14.29 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
198 1 0 0 0 0 0 0 1 14.29 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
198 1 1 1 0 1 1 0 5 71.43 2 1 1 1 2 7 58.33 2 1 2 5 62.50 1 1 2 66.67 2 2 66.67
198 1 1 1 0 1 1 0 5 71.43 2 1 1 3 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
198 1 1 1 0 1 1 0 5 71.43 2 1 1 3 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
69

2000 United Kingdom
2009 United Kingdom
1960 United States
1970 United States
1980 United States
1990 United States
2000 United States
2009 United States
1960 Uruguay
1970 Uruguay
1980 Uruguay
1990 Uruguay
2000 Uruguay
2009 Uruguay
1960 Uzbekistan
1970 Uzbekistan
1980 Uzbekistan
1990 Uzbekistan
2000 Uzbekistan
2009 Uzbekistan
1960 Vanuatu
1970 Vanuatu
1980 Vanuatu
1990 Vanuatu
2000 Vanuatu
2009 Vanuatu
1960 Venezuela, RB
1970 Venezuela, RB
1980 Venezuela, RB
198 1 1 1 0 1 1 0 5 71.43 2 1 1 3 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
198 1 1 1 0 1 1 0 5 71.43 2 1 1 3 2 9 75.00 2 3 2 7 87.50 1 1 2 66.67 3 3 100.00
199 1 1 1 0 0 0 0 3 42.86 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
199 1 1 1 0 0 0 0 3 42.86 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
199 1 1 1 1 1 1 1 7 100.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
199 1 1 1 1 1 1 1 7 100.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
199 1 1 1 1 1 1 1 7 100.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
199 1 1 1 1 1 1 1 7 100.00 2 1 1 2 1 7 58.33 2 2 1 5 62.50 1 1 2 66.67 3 3 100.00
200 1 1 1 1 0 0 0 4 57.14 2 2 2 2 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
200 1 1 1 1 0 0 0 4 57.14 2 2 2 2 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
200 1 1 1 1 0 0 0 4 57.14 2 2 2 2 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
200 1 1 1 1 0 0 0 4 57.14 2 2 2 2 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
200 1 1 1 1 0 0 0 4 57.14 2 2 2 2 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 2 2 66.67
200 1 1 1 1 0 0 0 4 57.14 2 2 2 2 1 9 75.00 2 3 2 7 87.50 1 2 3 100.00 3 3 100.00
201 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
201 1 1 1 1 1 1 1 7 100.00 2 1 2 1 2 8 66.67 2 1 3 6 75.00 1 1 2 66.67 2 2 66.67
201 1 1 1 1 1 1 1 7 100.00 0 0 0 0 0 0 0.00 2 1 0 3 37.50 1 1 2 66.67 2 2 66.67
201 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
201 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
201 1 1 1 1 1 1 1 7 100.00 2 1 1 1 0 5 41.67 2 1 0 3 37.50 1 2 3 100.00 2 2 66.67
202
202
202
202 1 1 1 0 0 0 0 3 42.86
202 1 1 1 0 0 0 0 3 42.86
202 1 1 1 0 0 0 0 3 42.86
203 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
203 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 2 2 66.67
203 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 1 1 33.33
70

1990 Venezuela, RB
2000 Venezuela, RB
2009 Venezuela, RB
1960 Vietnam
1970 Vietnam
1980 Vietnam
1990 Vietnam
2000 Vietnam
2009 Vietnam
1960 Yemen, Rep.
1970 Yemen, Rep.
1980 Yemen, Rep.
1990 Yemen, Rep.
2000 Yemen, Rep.
2009 Yemen, Rep.
1960 Zambia
1970 Zambia
1980 Zambia
1990 Zambia
2000 Zambia
2009 Zambia
1960 Zimbabwe
1970 Zimbabwe
1980 Zimbabwe
1990 Zimbabwe
2000 Zimbabwe
2009 Zimbabwe
203 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 1 1 33.33
203 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 1 1 33.33
203 1 0 0 0 0 0 0 1 14.29 2 1 1 2 2 8 66.67 2 2 2 6 75.00 1 1 2 66.67 1 1 33.33
204 1 0 0 0 0 0 0 1 14.29
204 1 0 0 0 0 0 0 1 14.29
204 1 1 1 1 1 1 1 7 100.00
204 1 1 1 1 1 1 1 7 100.00
204 1 1 1 1 1 1 1 7 100.00
204 1 1 1 1 1 1 1 7 100.00
207 1 0 0 0 0 0 0 1 14.29
207 1 0 0 0 0 0 0 1 14.29
207 1 0 0 0 0 0 0 1 14.29
207 1 0 0 0 0 0 0 1 14.29
3
3
3
3
100.00
100.00
2 2 66.67
2 2 66.67
2 2 66.67
1 1 33.33
207 1 0 0 0 0 0 0 1 14.29
207 1 0 0 0 0 0 0 1 14.29
2
2
2
2
66.67
66.67
208 0 0 0 0 0 0 0 0 0.00 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 1 2 66.67 2 2 66.67
208 0 0 0 0 0 0 0 0 0.00 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 1 2 66.67 3 3 100.00
208 1 1 1 0 1 1 0 5 71.43 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 1 2 66.67 3 3 100.00
208 1 1 1 0 1 1 0 5 71.43 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 1 2 66.67 3 3 100.00
208 1 1 1 0 1 1 0 5 71.43 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 1 2 66.67 3 3 100.00
208 1 1 1 0 1 1 0 5 71.43 2 2 2 3 3 12 100.00 2 3 3 8 100.00 1 1 2 66.67 3 3 100.00
209 1 0 0 0 0 0 0 1 14.29
209 1 0 0 0 0 0 0 1 14.29
209 1 1 0 1 1 0 0 4 57.14
209 1 1 0 1 1 0 0 4 57.14
209 1 1 0 1 1 0 0 4 57.14
209 1 1 0 1 1 0 0 4 57.14
3
3
3
3
3
3
100.00
100.00
100.00
71

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