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 statistic shows the largest countries in South America, based on land area. Brazil is the largest country by far, with a total area of over 8.5 million square kilometers, followed by Argentina, with almost 2.8 million square kilometers.

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

In 2024, Russia had the largest population among European countries at ***** million people. The next largest countries in terms of their population size were Turkey at **** million, Germany at **** million, the United Kingdom at **** million, and France at **** million. Europe is also home to some of the world’s smallest countries, such as the microstates of Liechtenstein and San Marino, with populations of ****** and ****** respectively. Europe’s largest economies Germany was Europe’s largest economy in 2023, with a Gross Domestic Product of around *** trillion Euros, while the UK and France are the second and third largest economies, at *** trillion and *** trillion euros respectively. Prior to the mid-2000s, Europe’s fourth-largest economy, Italy, had an economy that was of a similar sized to France and the UK, before diverging growth patterns saw the UK and France become far larger economies than Italy. Moscow and Istanbul the megacities of Europe Two cities on the eastern borders of Europe were Europe’s largest in 2023. The Turkish city of Istanbul, with a population of 15.8 million, and the Russian capital, Moscow, with a population of 12.7 million. Istanbul is arguably the world’s most famous transcontinental city with territory in both Europe and Asia and has been an important center for commerce and culture for over 2,000 years. Paris was the third largest European city with a population of ** million, with London being the fourth largest at *** million.

Projections of the Population (against the 1990 Census), By Age 0-4 years 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.")

Context

The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

Sample Query 1

What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

standardSQL

SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

Sample Query 2

Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

standardSQL

SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

Sample Query 3

The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

Update frequency

Historic (none)

Dataset source

United States Census Bureau

Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

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.

The poly shapefile shows income levels needed to support a family of four living in mid-cost areas within the states. It also shows percent income above the Federal poverty levels ($20,650 = 100%)

This statistic shows the 25 largest counties in the United States in 2022, by population. In 2022, about 9.72 million people were estimated to be living in Los Angeles County, California.

Additional information on urbanization in the United States

Urbanization is defined as the process by which cities grow or by which societies become more urban. Rural to urban migration in the United States, and around the world, is often undertaken in the search for employment or to enjoy greater access to services such as healthcare. The largest cities in the United States are steadily growing. Given their size, incremental increases yield considerable numerical gains as seen by New York increasing by 69,777 people in 2011, the most of any city. However in terms of percentage growth, smaller cities outside the main centers are growing the fastest, such as Georgetown city and Leander city in Texas.

Urbanization has increased slowly in the United States, rising from 80.77 percent of the population living in urban areas in 2010 to 82.66 percent in 2020. In 2018, the United States ranked 14th in a ranking of countries based on their degree of urbanization. Unlike fully urbanized countries such as Singapore and Hong Kong, the United States maintains a sizeable agricultural industry. Although technological developments have reduced demands for rural labor, labor in the industry and supporting services are still required.

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%

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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

National.

Analysis unit

Household Individual

Universe

National Population, both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 3401

The different stages in the sampling procedure were: - Self representative PSU´s (provinces) - Selected provinces (PPS selection with implied stratification according to income) - Districts within provinces - Urban and rural locations within districts (villages selected PPS within rural areas; neighbourhoods and streets selected within urban locations, households identified with systematic random selection, age and gender quotas used in the final selection of individuals).

The final numbers of clusters or sampling points were 22 PSU´s. The sampled unit we got from the office sampling was the address and the selection method that was used to identify a respondent was move on the next address until quota is filled. The quota control was 3 age groups and 2 gender groups were used as quotas. The stratification factors that was used: Per capita gdp. There were some limitations in the sample. It was a quota sample in the last stage as explained above. Overall, the design yields very satisfactory results.

Remarks about sampling: 3 age groups (18-27; 28-40; 41+) and 2 gender groups were used as quota controls. There were stratification factors per capita gdp. A known limitation of the realized sample: this was a quota sample in the last stage as explained. Overall, the design yields very satisfactory results

Mode of data collection

Face-to-face [f2f]

Research instrument

The WVS questionnaire was translated from the English questionnaire by a member of the research team. The translated questionnaire was not back-translated into English and also was pre-tested. There were some questions that caused problems when the questionnaire was translated especially questions assuming a church organisation were problematic. Also some of the irrelevant questions were omitted; some were asked nevertheless. There have not been any optional WVS questions and/or items been included, however country-specific questions were included. They were mostly included at the end of the questionnaire but some country specific additions were made to a confidence in institutions and b) neighbours questions. A number of questions were omitted because they sounded totally irrelevant for the local population or because previous surveys indicated that they did not work for this population. 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 any upper age cut-off for the sample.

Sampling error estimates

Estimated error: 1.7

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.

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

India

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 2002

As part of the India component of the World Values Survey, it was decided to conduct 2000 face-toface interviews. A rigorous scientific method was employed to generate the target sample for the study. The survey was conducted in 18 states of India, which covered nearly 97 % of the nations population.

40 districts in the country were identified for the purpose of the survey (a little less than 1/10 of the districts in the country: 466 districts as per 1991 census). The 40 districts were spread across the 18 states, in which the survey was conducted keeping in mind the population of the states, even while ensuring that the survey was conducted in at least one district in each of the sampled states.

Within each state, the district/s in which the survey was to be conducted was selected by circular sampling (PPS: Probability Proportion to Size). Once all the 40 districts were selected, the Lok Sabha (Lower House of the Indian Parliament)constituency that covered the district was identified. If the sampled district had more than one Lok Sabha constituency, the one, which had a larger proportion of the districts electorate, was selected.

The next stage in the sampling process was the selection of 2 State Assembly (Lower House of the State Legislature) constituencies in each of the sampled 40 Lok Sabha constituencies. Circular Sampling (PPS: Probability Proportion to Size) was once again employed. Thus, 80 Assembly Constituencies in 40 Lok Sabha constituencies (in 40 districts) were selected. Subsequently, a polling booth area in each of the 80 sampled Assembly constituencies was selected by simple circular sampling method.

The number of respondents to be interviewed in each state was determined on the basis of the proportion of the states share in the national population. This was equally divided among the polling booth areas that were sampled in a state. The number of respondents in the polling booth area was the same within a state, but varied from state to state. In a polling booth area, the respondents were selected from the electoral rolls (voters list) by circular sampling with a random first number.

While drawing up the random list of respondents to be interviewed in every sampled polling booth area, the number of target respondents was increased by nearly 20 %. This was done in view of the fact that the field investigators were required to interview only those respondents whose names were included in the sample list. No replacements or alteration in the list of sampled respondents was permitted. Previous survey experience has shown that it has never been possible for the investigator to interview all those included in the list of sampled respondents. A wide range of factors is responsible for the same. The investigators were told to make every effort to interview all those included in the list of respondents. In the event of the investigator not being able to complete an interview, they were asked to record the reason for the same. Such a rigorous method of sampling was followed in order to obtain as representative a national sample as possible. The analysis of the sample profile clearly indicates that the detailed and objective criteria employed has eminently served its purpose as the sample mirrors the nations social, economic, political, cultural and religious diversity.

Remarks about sampling: - Final numbers of clusters or sampling points: No clusters - Sample unit from office sampling: Named individual

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was translated into ten Indian languages by a specialist translator. A few modifications were undertaken in response categories for the scale answer questions. It was then back-translated to English. For each of the 10 languages the pre test was done on a sample of 5 each. There were several concepts and questions difficult to translate: more specifically v75/76/v103/v175/v208/v212/v229/. These problems were solved by developing new phrases close to the original statement or using it in the context of social reality 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 any upper age cut-off for the sample.

Response rate

The following table presents completion rate results: - Total number of starting names/addresses 2354 - Addresses which could not be traced at all 56 - Addresses established as empty, demolished or containing no private dwellings 39 - Selected respondent too sick/incapacitated to participate 29 - Selected respondent away during survey period 62 - Selected respondent had inadequate understanding of language of survey 27 - No contact at selected address 76 - No contact with selected person 31 - Refusal at selected address 34 - Full productive interviews 2002

Sampling error estimates

Estimated Error: 2,2

The second annual In The Drivers Seat Road Rage Survey, commissioned by AutoVantage, a leading national auto club, found that the least courteous city in the country is Miami, followed by New York and Boston. Its the second consecutive year that Miami claimed the top spot. The other two cities with the worst road rage were Los Angeles and Washington, D.C. The most courteous city is Portland, Ore., followed closely by Pittsburgh, Seattle/Tacoma, St. Louis and Dallas/Ft. Worth. The In The Driver's Seat 2007 AutoVantage Road Rage Survey, released today, was conducted to determine the driving habits and attitudes of commuters across the U.S. and to learn more about consumer views on the topic of road rage. ""Road rage has unfortunately too often become a way of life, both on and off the track,"" said NASCAR racing TV personality, radio host, best-selling author and AutoVantage spokesperson Liz Allison. ""More and more, in cities across America, people are acting out their frustrations with dangerous results. It's bad for professional and everyday drivers alike. ""Our Road Rage survey shines the light on emerging driving trends, and there are some very interesting results."" The survey's best and worst cities are: Least Courteous Cities (Worst Road Rage): 2007 2006 1. Miami 1. Miami 2. New York 2. Phoenix 3. Boston 3. New York 4. Los Angeles 4. Los Angeles 5. Washington, D.C 5. Boston Most Courteous Cities (Least Road Rage): 2007 2006 1. Portland, Ore. 1. Minneapolis 2. Pittsburgh 2. Nashville 3. Seattle/Tacoma 3. St. Louis 4. St. Louis 4. Seattle 5. Dallas/Ft. Worth 5. Atlanta Other cities surveyed include Phoenix; Chicago; Sacramento, Calif.; Philadelphia; San Francisco; Houston; Atlanta; Detroit; Minneapolis/St. Paul; Baltimore; Tampa, Fla.; San Diego; Cincinnati; Cleveland and Denver.

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.

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

National.

Analysis unit

Household Individual

Universe

Spanish population, both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1209.

1) Interviewees were distributed proportionally to population in each of the 17 Autonomous Communities (Regions). 2) Interviews were then distributed, within each region, by size-categories of municipalities population. 3) Municipalities are randomly selected within each region and size category. 4) Census regions are randomly selected within each municipality. 5) Random routes are used within each census section to select building. 6) Stages and/or households are randomly selected within each building. 7) Kish tables are used to select individual within each household. The final number of clusters was 131. Lower age cut-off was set at 18 years.

Remarks about sampling: Substitution was permitted after 3-4 attempts to find at home the selected individual or after a definite refusal. All substitutions are selected within the same census section (which is the smallest census unit). The substitution rate is high, a growing problem for every institute doing face-to-face interviewing at Rs home. However, the demographic profile (even cross-tabs) of each sample is similar in all of our studies and similar to census data. Stratification factors used were: Region (17) and Size of Municipality (7 categories). Proportional distribution of interviews to population 18 years and over in both cases was then used.

Mode of data collection

Face-to-face [f2f]

Research instrument

The English official version WVS questionnaire was used.

Response rate

There were some limitations in the sample. The substitution rate is high, a growing problem for every institute doing face-to-face interviewing at R´s home. However, the demographic profile (even crosstabs) of each sample is similar in all of our studies and similar to census data. - There were selected respondent too sick/incapacitated to participate: 3 - There were selected respondent away during the survey period: 10 - No contact at selected address: 25 - No contact with selected person: 15 - Proxy refusal (on behalf of selected respondent): 10 - Personal refusal by selected respondent: 15 - Full productivity interview: 1209

Sampling error estimates

Estimated error: 2

This data set illustrates the area of mixed forests, by square kilometers, around the world. It can be defined as "A mixed forest is dominated by trees with a percent canopy cover of greater than 60% and height exceeding 2 meters. It consists of tree communities with interspersed mixtures or mosaics of the other four forest cover types. None of the forest types exceeds 60% of landscape" (Earth Trends). http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=754&action=select_years September 18, 2007