Russia is the largest country in the world by far, with a total area of just over 17 million square kilometers. After Antarctica, the next three countries are Canada, the U.S., and China; all between 9.5 and 10 million square kilometers. The figures given include internal water surface area (such as lakes or rivers) - if the figures were for land surface only then China would be the second largest country in the world, the U.S. third, and Canada (the country with more lakes than the rest of the world combined) fourth. Russia Russia has a population of around 145 million people, putting it in the top ten most populous countries in the world, and making it the most populous in Europe. However, it's vast size gives it a very low population density, ranked among the bottom 20 countries. Most of Russia's population is concentrated in the west, with around 75 percent of the population living in the European part, while around 75 percent of Russia's territory is in Asia; the Ural Mountains are considered the continental border. Elsewhere in the world Beyond Russia, the world's largest countries all have distinctive topographies and climates setting them apart. The United States, for example, has climates ranging from tundra in Alaska to tropical forests in Florida, with various mountain ranges, deserts, plains, and forests in between. Populations in these countries are often concentrated in urban areas, and are not evenly distributed across the country. For example, around 85 percent of Canada's population lives within 100 miles of the U.S. border; around 95 percent of China lives east of the Heihe–Tengchong Line that splits the country; and the majority of populations in large countries such as Australia or Brazil live near the coast.

In 2025, India overtook China as the world's most populous country and now has almost 1.46 billion people. China now has the second-largest population in the world, still with just over 1.4 billion inhabitants, however, its population went into decline in 2023. Global population As of 2025, the world's population stands at almost 8.2 billion people and is expected to reach around 10.3 billion people in the 2080s, when it will then go into decline. Due to improved healthcare, sanitation, and general living conditions, the global population continues to increase; mortality rates (particularly among infants and children) are decreasing and the median age of the world population has steadily increased for decades. As for the average life expectancy in industrial and developing countries, the gap has narrowed significantly since the mid-20th century. Asia is the most populous continent on Earth; 11 of the 20 largest countries are located there. It leads the ranking of the global population by continent by far, reporting four times as many inhabitants as Africa. The Demographic Transition The population explosion over the past two centuries is part of a phenomenon known as the demographic transition. Simply put, this transition results from a drastic reduction in mortality, which then leads to a reduction in fertility, and increase in life expectancy; this interim period where death rates are low and birth rates are high is where this population explosion occurs, and population growth can remain high as the population ages. In today's most-developed countries, the transition generally began with industrialization in the 1800s, and growth has now stabilized as birth and mortality rates have re-balanced. Across less-developed countries, the stage of this transition varies; for example, China is at a later stage than India, which accounts for the change in which country is more populous - understanding the demographic transition can help understand the reason why China's population is now going into decline. The least-developed region is Sub-Saharan Africa, where fertility rates remain close to pre-industrial levels in some countries. As these countries transition, they will undergo significant rates of population growth.

Russia is the largest country in Europe, and also the largest in the world, its total size amounting to 17 million square kilometers (km2). It should be noted, however, that over three quarters of Russia is located in Asia, and the Ural mountains are often viewed as the meeting point of the two continents in Russia; nonetheless, European Russia is still significantly larger than any other European country. Ukraine, the second largest country on the continent, is only 603,000 km2, making it about 28 times smaller than its eastern neighbor, or seven times smaller than the European part of Russia. France is the third largest country in Europe, but the largest in the European Union. The Vatican City, often referred to as the Holy Sea, is both the smallest country in Europe and in the world, at just one km2. Population Russia is also the most populous country in Europe. It has around 144 million inhabitants across the country; in this case, around three quarters of the population live in the European part, which still gives it the largest population in Europe. Despite having the largest population, Russia is a very sparsely populated country due to its size and the harsh winters. Germany is the second most populous country in Europe, with 83 million inhabitants, while the Vatican has the smallest population. Worldwide, India and China are the most populous countries, with approximately 1.4 billion inhabitants each. Cities Moscow in Russia is ranked as the most populous city in Europe with around 13 million inhabitants, although figures vary, due to differences in the methodologies used by countries and sources. Some statistics include Istanbul in Turkey* as the largest city in Europe with its 15 million inhabitants, bit it has been excluded here as most of the country and parts of the city is located in Asia. Worldwide, Tokyo is the most populous city, with Jakarta the second largest and Delhi the third.

The average for 2023 based on 196 countries was 0.51 percent. The highest value was in India: 17.94 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

From now until 2100, India and China will remain the most populous countries in the world, however China's population decline has already started, and it is on course to fall by around 50 percent in the 2090s; while India's population decline is projected to begin in the 2060s. Of the 10 most populous countries in the world in 2100, five will be located in Asia, four in Africa, as well as the United States. Rapid growth in Africa Rapid population growth across Africa will see the continent's population grow from around 1.5 billion people in 2024 to 3.8 billion in 2100. Additionally, unlike China or India, population growth in many of these countries is not expected to go into decline, and instead is expected to continue well into the 2100s. Previous estimates had projected these countries' populations would be much higher by 2100 (the 2019 report estimated Nigeria's population would exceed 650 million), yet the increased threat of the climate crisis and persistent instability is delaying demographic development and extending population growth. The U.S. as an outlier Compared to the nine other largest populations in 2100, the United States stands out as it is more demographically advanced, politically stable, and economically stronger. However, while most other so-called "advanced countries" are projected to see their population decline drastically in the coming decades, the U.S. population is projected to continue growing into the 2100s. This will largely be driven by high rates of immigration into the U.S., which will drive growth despite fertility rates being around 1.6 births per woman (below the replacement level of 2.1 births per woman), and the slowing rate of life expectancy. Current projections estimate the U.S. will have a net migration rate over 1.2 million people per year for the remainder of the century.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Top five largest countries of Africa by land size are Algeria, Congo Democratic Republic of the, Sudan, Libya and Chad but the top five largest populations in Africa are in Nigeria, Ethiopia, Egypt, Democratic Republic of the Congo and Tanzania.

Based on land area, Brazil is the largest country in Latin America by far, with a total area of over 8.5 million square kilometers. Argentina follows with almost 2.8 million square kilometers. Cuba, whose surface area extends over almost 111,000 square kilometers, is the Caribbean country with the largest territory.

Brazil: a country with a lot to offer

Brazil's borders reach nearly half of the South American subcontinent, making it the fifth-largest country in the world and the third-largest country in the Western Hemisphere. Along with its landmass, Brazil also boasts the largest population and economy in the region. Although Brasília is the capital, the most significant portion of the country's population is concentrated along its coastline in the cities of São Paulo and Rio de Janeiro.

South America: a region of extreme geographic variation

With the Andes mountain range in the West, the Amazon Rainforest in the East, the Equator in the North, and Cape Horn as the Southern-most continental tip, South America has some of the most diverse climatic and ecological terrains in the world. At its core, its biodiversity can largely be attributed to the Amazon, the world's largest tropical rainforest, and the Amazon river, the world's largest river. However, with this incredible wealth of ecology also comes great responsibility. In the past decade, roughly 80,000 square kilometers of the Brazilian Amazon were destroyed. And, as of late 2019, there were at least 1,000 threatened species in Brazil alone.

Projections of the Population (against the 1990 Census), By Age 5-17 year old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")

This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

The average for 2023 based on 196 countries was 10.17 percent. The highest value was in Monaco: 36.36 percent and the lowest value was in Qatar: 1.57 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

This survey covers the Russian Federation.

Analysis unit

• Household
• Individual

Universe

The WVS for the Russian Federation covers national population, aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was designed to be representative of the entire adult population, i.e. 18 years and older, of your country. The lower age cut-off for the sample was 18 and there was not an upper age cut-off for the sample. Population: Total non-institutionalized population of the Russian Federation, 18 years and older, without citizens living in the Far North and in inaccessible regions of Siberia.

Five-stage area probability sample: (1) The country is divided into 4 strata. For each stratum the desired number of respondents is defined proportional to population size. (2) Within each stratum 50 primary sampling units (administrative districts) are selected at random proportional to size. (3) Within each primary sampling unit secondary sampling units (towns and rural Soviets as administrative subdistricts) are selected randomly (4) Within each secondary sampling unit third sampling units (voting districts in the towns, villages belonging to a rural Soviet in the rural areas) are randomly selected. The total number of third sampling units was 186. (5) Within each third sampling unit households were selected at random from a household register (fourth sampling unit). (6) Within each household the respondent is randomly selected using the "Kish-selection-grid": all adult family members are listed in a certain order, first males from the oldest to the youngest, than females from the oldest to the youngest; the respondent is selected by a selection key which is randomly composed for each possible type of household composition (fifth sampling unit). Selection is done: 41% Male and 59% Female. 75% Urban and 25% Rural. The sample size is N=2040.

Universe: The universe includes the adult population of Russia residing in 89 regios and republics. The Far North and inaccessible regions of Siberia, military bases and prisons are not included. Primary sampling units: Administrative rayons in regions, krays and republics are used as the primary sampling units (PSUs). Each rayon is a geographically localized territory which in general contains both urban and rural settlements. Either a town or a rural settlement may be a center of rayon. Usually, but not always, it is the largest settlement in a rayon. If a rural settlement is the center of a rayon itself generally consists only of rural settlements and is referred to the category of rural rayhons. Separate towns which are considered by official statistical institutions as rayons are also included in the set of primary sampling units. These towns are not part of rayons though they are situated in the rayon's territory. Sometimes they may also include some suburbs. So separate towns and rural rayons may be considered as two poles of a scale which contains all various rayhons of Russia (primary sampling units, PSUs). On the continuum between these poles there are rayons of mixed type containing urban and rural sttlements of different sizes. Population size of different rayons may vary from 4-5 thousand to several hundred thousand or even several million of people in cities considered as separate rayons. If population size is less than 10.000 the rayon is linked to an adjacent one in a stratum. All PSUs are presented in the form of data base of more than 2.000 records with each record corresponding to one rayon or separate town (later referred to as rayons). The record for each rayon (PSU) contains the following data: - unique identification number and rayon title, - code and title of a region, - central town population size, - rayon population size All data are based on annual statistical reports (Chislennost RSFSR na 1 janvarya 1990) and 1989 census information. Primary sampling units stratification: PSUs stratification is based on two variables: geographical placement and status of the rayon center. All primary sampling units are grouped in strata consisting of homogeneous rayons. Strata are formed so that each stratum has approximately the same population size. They may consist of from one to several dozen PSUs depending on PSUs population size. In this sample the stratum population size is equal approximately 3.000 thousand (tab.1). Two cities in Russia Moscow and St. Petersburg have population size exceeding stratum population size. They form so called self-representing strata. The geographic placement of a rayon is defined by corresponding economic and geographic zone. According to statistical institutions Russia is divided into 11 economic and geopraphic regions. But for sample construction this division seems to be too fractional and can prevent forming strata of equal size in each zone. The main goal for using the geographic factor as a stratification variable is the uniform spreading of PSUs through Russia territory. For these reasons economic and geographic regions in Russia wre grouped in four zones:

• Zone 1 - North and Center of European part of Russia (unites Northern, North Western + Kaliningrad obl., Central and Volgo-´Vjatsky regions of Russia).

• Zone 2 - South of Wuropean part of Russia (unites Tsentralno-Chernozjemny, Povolzhsky and North- Caucasian regions of Russia).

• Zone 3 - Ural and West Siberia (two economic regions)

• Zone 4 - East Siberia and Far East (two economic regions). For economic and geographic division in Russia seven factors are used: nature and resources, population, industry, power engineering, area industry distribution, agriculture, transport and communicftions ( Economicheskaya geographiya SSSR. Moskva, Vishaya shkola, 1983). 11 regions were aggregated in four zones on the basis of two first factors: nature and resources and population. The second variable of PSUs stratification is the status of the rayon center. It is formed on officially accepted statistical classification by type and population size:

• rural settlement,

• urban settlement with populatiton size:

  • below 20.000
  • between 20.000 and 50.000
  • between 50.000 and 200.000
  • between 500.000 and 1000.000
  • more than 1000.000

Remarks about sampling: - Final numbers of clusters or sampling points: 186 - Sample unit from office sampling: Household

Mode of data collection

Face-to-face [f2f]

Research instrument

The WVS questionnaire was in Russian. Some special variable labels have been included, such as: V56 Neighbours: Jews and V149 Institution: The European Union. Special categories labels are: V203/ V204: Geographical affinity, 1. Locality or town where you live, 2. Region of country where you live, 3. Own country as a whole, 4. Europe, 5. The world as whole. Country Specific variables included are: V208: Ethnic identification, 2. Ukranian, 3. Tatarian 4. Komi 5 Mordovia, 6 Karbardian 7 Balkarian; V209: Language at home: 2. Ukranian, 3. Tatarian 4. Komi 5 Mordovia, 6 Karbardian 7 Balkarian; The variables political parties V210 a V212; Region: V 234 and V206 Born in this country are also included as country specific variables. The ethnic group of the respondent was not asked in the interview. In the cases of Eastern Europe Countries where the ethnic group is missing the language chosen for interview is the only indicator available to control the ethnic composition of the samples. Nevertheless, native language indicated in the cesus of 1989 and language chosen for interview are not exactly the same, since the first is rather differentiated whereas for the last the alternatives to choose between where only the national language or Russian.

Response rate

The response rate for the Russian Federation is 74.9% and is calculated as follows: (2040/2723) x 100=74.9%

Sampling error estimates

+/- 2,2%

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The Survey covers the following countries: Andorra, Argentina, Australia, Brazil, Bulgaria, Canada, Chile, China, Taiwan, Colombia, Cyprus, Ethiopia, Finland, France, Georgia, Germany, Ghana, Guatemala, Hong Kong, Indonesia, Iran, Iraq, Italy, Japan, Jordan, South Korea, Malaysia, Mali, Mexico, Moldova, Morocco, Netherlands, New Zealand, Norway, Peru, Poland, Romania, Russia, Rwanda, Serbia, Vietnam, Slovenia, South Africa, Spain, Sweden, Switzerland,Thailand,Trinidad and Tobago, Turkey, Ukraine, Egypt, United Kingdom, United States, Burkina Faso, Uruguay and Zambia.

Analysis unit

Household Individual

Universe

WVS surveys are required to cover all residents (not only citizens) between the ages of 18 and 85, inclusive. PI's can lower the minimum age limit as long as the minimum required sample size for the 18+ population (N=1200) is achieved.

Kind of data

Sample survey data [ssd]

Sampling procedure

Wave 5 covers 58 countries and societies around the world and more than 83,000 respondents.

The minimum sample size - i.e. the number of completed interviews which are included into the national data-set in the most of countries is 1200. Samples must be representative of all people in the age 18 and older residing within private households in each country, regardless of their nationality, citizenship or language. Whether the sampling method is full probability or a combination of probability and stratified, the national team should aim at obtaining as many Primary Sampling Units (starting points in case of random route sampling) in the sample as possible. It is highly recommended that a number of respondents per a PSU (or a route in case of random route sample) is not exceeding 10 respondents. It is possible to have several Primary Sampling Units per one settlement; they should be located in quite a good distance from each other. WVSA requires a complete explanation of proposed sampling procedures before the beginning of the survey fieldwork.

Mode of data collection

Other [oth]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

The average for 2023 based on 178 countries was 20.4 million people. The highest value was in China: 781.1 million people and the lowest value was in Tonga: 0.04 million people. The indicator is available from 1991 to 2023. Below is a chart for all countries where data are available.

The map data is derived from the United Nations Environment Programme (UNEP) for the years 1990, 1995, 2000, and 2005. The map shows the concentration of the population within 100 kilometers of coast by country measured in thousands of people. Online resource: http://geodata.grid.unep.ch URL original source: http://geodata.grid.unep.ch

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The survey covers Mexico.

Analysis unit

• Household
• Individual

Universe

The WVS for Mexico covers national population aged 18 years and over for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Mexico 2005 survey used a multi-stage sampling procedure. Interviewers selected an adult using a random selection method. However, we also employed control quotas according to sex and age this practice was more common in rural areas, where the male population is more difficult to find at home during interviewing hours. Interviewers made sure that respondents were at least 18 years old, that they lived in the selected household. Interviews were all conducted in-home.

Remarks about sampling: The first stage was the selection of polling points based on the list of electoral sections defined by the Federal Elections Institute. The sections were previously stratified as urban (70 percent), and rural and mixed (30 percent). Each section is relatively homogeneous in size, with about 1,092 registered voters in 63,810 sections that cover all the countrys adult population. Respondents included, of course, also adults nonregistered as voters. We selected 130 electoral sections in a systematically random fashion in each stratum, based on the list arranged proportionally to size of population. In the second stage we selected the household with a systematic random selection, based on a standard strategy of walking around the housing districts selected in the sample. In the third stage, interviewers selected an adult respondent in each household. We used control quotas based on sex and age in districts where random selection of interviewers was disproportionately leaning towards a specific group. Each polling point represents 12 interviews, and quota control established that 6 were male respondents and 6 women respondents, to ensure an appropriate distribution, especially in areas where some specific group is difficult to reach during the hours of interviewing (i.e. rural towns and communities). The Mexican countryside presents problems, for example, to reach male populations during the day in their households. In terms of age, the following quotas were employed where needed: 4 out of 12 were 18 to 29 years old; 5 out of 12 were 30 to 49 years old, and 3 out of 12 were 50 years old or older. We substituted four of the originally selected addresses; three in rural areas and one in an urban area. In the rural cases, the interviewers were not able to get to them because of the absence of roads and transportation. In the urban case, the polling point was substituted because the neighborhood represented serious safety problems at the time of the survey. All the polling points were substituted with addresses with the same socioeconomic level, in the same region, state and electoral district. Substitution of households and respondents were also employed, in the cases where either one of them was registered as a no contact or a refusal and remained under those categories after call backs or returns. Interviewers kept record of non response items (no contact, refusals, suspension) at every time.

The sample size for Mexico is N=1560 and includes the national population aged 18 years and over for both sexes.

Mode of data collection

Face-to-face [f2f]

Research instrument

English and Spanish Questionnaires. The Mexico 2005 questionnaire includes these additional questions:

• Main television news broadcast R watches: v229a (placed between v229 Rs information sources and v230 how often R uses a personal computer).
• Voting intentions for President: v233b to v233c (placed between v233 party R would never vote for and v234 party R voted for federal deputy in 2003). In this question, interviewers used a secret-ballot method with the names of the candidates and the party logos.
• Party identification: v233a (placed between v222 party R would never vote for and v223 party R voted for federal deputy in 2003)
• Items on Mexicos economic relationships: v234a to v234d (placed between v234 party R voted for federal deputy in 2003 and v235 gender.
• Items on the relationship between Mexico and United States: v234a to v234d (placed between v234 party R voted for federal deputy in 2003 and v235 gender) -Items on underground economy: v247a to v247c (placed between v247 Does R supervise people in his job and v248 Is R the chief wage earner) v248 Is R the chief wage earner)

Response rate

Total number of starting names/addresses (electoral sections) 130 No contact at selected address (households) 1759 No contact with selected person 1084 Refusal at selected address 667 Personal refusal by selected respondent 824 Full productive interview 1560 Break Off 52 No elegible respondent 357 Quota filled 999

Remarks about non-response: Electoral sections are a reliable sampling unit in Mexico. Between 95 and 97 percent of all adult population is reachable using the electoral sections as sampling frame. The sample distribution in Mexico does not appear to have any known limitations. Non response rate is 70%, including no contacts and refusals.

This dataset represents the top five countries to import into Canada for the years 1995 - 2002. This data is from Statistics Canada. The total imports for each year are as follows in million of Canadian dollars: 1995 - $ 225,553, 1996 - $232,566, 1997 - $272,946, 1998 - $298,386, 1999 - $320,409, 2000 - $356,862, 2001 - $343,076, 2002 - $348,445.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The Survey covers the United States.

Analysis unit

• Household
• Individual

Universe

The WVS for the United States covers national population aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample was stratified by age (18-29, 20-44, 45-59, 60+), education (less than HS, HS, some college, Bachelors +), ethnicity (white non-hispanic, black non-hispanic, other non-hispanic, Hispanic, 2+ races non-hispanic), and gender The eight sources of deviation from epsem design are:

1 Half sampling of telephone numbers for which we could not find an address 2 RDD sampling rates proportional to the number of phone lines in the household 3 Minor oversampling of Chicago and Los Angeles due to early pilot surveys in those two cities 4 Short-term double-sampling the four largest states (CA, NY, FL, and TX) and central region states 5 Under-sampling of households not covered by MSN TV 6 Oversampling of minority households (Black and Hispanic) 7 Oversampling of households with PC and Internet access 8 Selection of one adult per household.

Remarks about sampling: Once Panel Members are recruited and profiled, they become eligible for selection for specific surveys. In most cases, the specific survey sample represents a simple random sample from the panel. The sample is drawn from eligible members using an implicitly stratified systematic sample design. Customized stratified random sampling based on profile data is also conducted, as required by specific studies. The primary sampling rule is not to assign more than one survey per week to members. In certain cases, a survey sample calls for pre-screening, that is, members are drawn from a sub-sample of the panel (e.g., females, Republicans). In such cases, care is taken to ensure that all subsequent survey sample drawn that week are selected in such a way as to result in a sample that is representative of the panel distributions.

The sample size for the United States is N=1249 and includes national population aged 18 years and over, for both sexes.

Mode of data collection

Other [oth]

Research instrument

English Questionnaire. some question(s) not included: V254 (how interested was respondent?)

Reason(s) not included: Because the survey was self-administered and V254 is for the interviewer. V55 (Marital status) V56 (Number of children) V235 (Gender) V236 (age) V237 (age) V238 (education level) V241 (employment status) V256 (Race/ethnicity) Reason(s) not included: Knowledge Networks has similar information currently on file for the panelists and appended those and other supplemental demographic variables to the data file.

Response rate

Total number of starting names/addresses 1710 Full productive interview 1201 Partial productive interview 48 Response rate: 73,04% (1249/1710)

Remarks about non-response: Knowledge Networks selected 1,710 members of its panel to participate in the survey. While 1,249 responded to the invitation to participate, forty-eight did not complete the entire self-administered Web survey. Because Knowledge Networks utilizes a panel methodology, we also report a separate panel recruitment response rate (AAPOR RR #3). This measure is the mean response rate for all panel recruitment cohorts from which these 1,710 panelists belong.

Sampling error estimates

+/- 2,8%

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The survey covers Georgia.

Analysis unit

• Household
• Individual

Universe

The WVS for Georgia covers national population aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling universe included the adult population of Georgia residing in both rural and urban areas, excluding the conflict zones of Abkhazia and Ossetia. Military bases and prisons were also not included. In addition, some villages near the regional city of Gori and Zugdidi that are still under occupation by Russian troops were not included in the sampling. The sample design involved a fivestage random cluster sampling. The sampling frame design is based on the 2002 census information.

In this sampling design the sampling units were:

1) Regions and individual cities (Tbilisi and other principal cities) 2) Towns and villages (primary sampling units, PSUs) 3) Districts in cities, towns, and villages in rural areas (sampling points, SPs) 4) Household (by household we mean a group of individuals who live under the same roof and use the same kitchen for cooking) 5) Randomly selected adult members of households At the first stage, the number of respondents was allocated by probability-proportional-to-size (PPS) method. Likewise, at the second and third stages PSUs and SPs were selected by the probability proportional to the unit size (PPS) method. Households were selected via a random route technique and respondents at the household level were selected via the next-birthday technique:

Stage 1 - Primary sampling units At the first stage of the sampling design Georgia was divided into 11 regions; the division being based on the official administrative and geographic regions of the country.

 1 Tbilisi 
 2 Kakheti 
 3 Shida Kartli 
 4 Kvemo Kartli 
 5 Samtskhe Javakheti 
 6 Ajara 
 7 Guria 
 8 Samegrelo 
 9 Imereti & Svaneti 
10 Mtskheta Mtianeti 
11 Racha 

Each region was stratified according to three criteria:

 a) Large cities over 45,000 individuals - There are seven large cities in Georgia including the capital. All of them will be included in the sampling frame and are regarded as having been selfrepresentative cities or PSUs. 
 b) Other cities and towns with populations of less than 45,000 
 c) Rural settlements The number of interviews in all 10 regions was allocated proportional to the size of the adult population in each region. 

Stage 2 - Selection of PSUs In this stage the PSUs are equivalent to rayons- there are a total of 59 rayons (PSUs) in Georgia (excluding Abkhazia and Ossetia). The final sample covered 24 PSUs; this included seven self-representative PSUs were also included in this number. Due to the security reasons, areas close to Ossetian (town of Akhalgori, which was and continues to be under by Russian troops and the buffer zone areas), as well as the town Zugdidi (villages and small towns surrounding town of Zugdidi) were excluded from the sampling framework. Stage 3 - Selection of sampling points (SPs) In urban areas the SPs were census districts whereas in rural areas an entire village was considered as an SP. There are total of 16,582 registered census districts in Georgia and for each one, information existed as to its location/address and the size of the adult population. In the pre-selected PSUs (according to PPS), the number of SPs were determined and per each selected SP around 10 interviews were completed. Rural areas villages are considered as a separate SP and from the list of villages, (this list contains information on the number of adult population per village), and the SPs was selected by PPS. The achieved sampling framework consisted of 188 randomly selected (via PPS) SPs Stage 4 - Selection of households Selection of households was conducted by the application of a random route technique. For each one, SP starting points were identified and given to supervisors who then instructed interviewers as to how sampling mechanism was to be completed. Interviewers were then instructed to make up to two call backs if the original respondent was not available at the time of the initial contact.

Remarks about sampling:

The interviewer was given a route map in which a starting point for each sample point was accurately indicated. Every interviewer was then expected to have conducted no less than 10 interviews for urban SP and 5 among rural sampling points. The choice of starting points for all SP was made by the project manager or supervisor and was not left to the interviewers discretion. The STARTING POINT may be any point along the route, including day care establishments, schools, hospitals, administration buildings, or the beginning or end of a street (the starting point was indicated on the route map beforehand). If the starting point was the beginning of a street, it is necessary to keep to one side of the street (right or left). If a crossroad is met during the route, it is necessary to turn at this juncture and stay to the same side of the route until an appropriate respondent was chosen (i.e. if the left side is chosen, it was necessary to keep to the left side of the crossroad). If the required number of appropriate respondents was not found and the street ended, the interviewer should than have turned to the other side of the street and continued to the left handed side of the street. If the starting point had been a multi-storied building, the interviewer should have proceeded to the top floor and knocked at the door of the apartment on the side of which he followed during the route. It was not possible skipped any apartment until the appropriate respondent was found. After the interview with the appropriate respondent was completed the interviewer was to have followed the route and selected every fifth apartment. The interviewer followed this method after a successful interview was completed. In other cases s/he should have visited the next apartment until an interview was completed. If the interviewer were meeting private houses/plots on the sampling route, he should follow the instructions as indicated above and to have visited every fifth household. Interviews were held only in buildings that contained residences. Exceptions were those buildings (private hospitals, shops, restaurants, etc.), where one or more families permanently resided. The interviewer must allowed the supervisor to have been informed of and coordinated with him any changes that were concerned with the route that occurred during the fieldwork.

The sample size for Georgia is N=1500 and includes the national population aged 18 years and over for both sexes.

Mode of data collection

Face-to-face [f2f]

Research instrument

Length of interviews - Report each instrument separately - Report quartiles and interquartile range as well as median and mean Issues with survey instrument - Problems with particular questions - -for each question why was this problematic - Problems with length No serious problem that could cause the quality of the interviewing process was encountered either during the interviewing or due to the length of the surveys.

Response rate

Reason Cases No one at home 2146 Refusal from the family member 343 Refusal from the respondent 243 Respondents could not communicate (health related problems, language related problems, etc) 31 Respondent was not at home 311 Respondent is out of home during duration of the fieldwork 48 Termination of interview 0 Completed interview 1500

Sampling error estimates

+/- 2,6%