This graph shows the population of the U.S. by race and ethnic group from 2000 to 2023. In 2023, there were around 21.39 million people of Asian origin living in the United States. A ranking of the most spoken languages across the world can be accessed here. U.S. populationCurrently, the white population makes up the vast majority of the United States’ population, accounting for some 252.07 million people in 2023. This ethnicity group contributes to the highest share of the population in every region, but is especially noticeable in the Midwestern region. The Black or African American resident population totaled 45.76 million people in the same year. The overall population in the United States is expected to increase annually from 2022, with the 320.92 million people in 2015 expected to rise to 341.69 million people by 2027. Thus, population densities have also increased, totaling 36.3 inhabitants per square kilometer as of 2021. Despite being one of the most populous countries in the world, following China and India, the United States is not even among the top 150 most densely populated countries due to its large land mass. Monaco is the most densely populated country in the world and has a population density of 24,621.5 inhabitants per square kilometer as of 2021. As population numbers in the U.S. continues to grow, the Hispanic population has also seen a similar trend from 35.7 million inhabitants in the country in 2000 to some 62.65 million inhabitants in 2021. This growing population group is a significant source of population growth in the country due to both high immigration and birth rates. The United States is one of the most racially diverse countries in the world.

The statistic shows the total population of India from 2019 to 2029. In 2023, the estimated total population in India amounted to approximately 1.43 billion people.

Total population in India

India currently has the second-largest population in the world and is projected to overtake top-ranking China within forty years. Its residents comprise more than one-seventh of the entire world’s population, and despite a slowly decreasing fertility rate (which still exceeds the replacement rate and keeps the median age of the population relatively low), an increasing life expectancy adds to an expanding population. In comparison with other countries whose populations are decreasing, such as Japan, India has a relatively small share of aged population, which indicates the probability of lower death rates and higher retention of the existing population.

With a land mass of less than half that of the United States and a population almost four times greater, India has recognized potential problems of its growing population. Government attempts to implement family planning programs have achieved varying degrees of success. Initiatives such as sterilization programs in the 1970s have been blamed for creating general antipathy to family planning, but the combined efforts of various family planning and contraception programs have helped halve fertility rates since the 1960s. The population growth rate has correspondingly shrunk as well, but has not yet reached less than one percent growth per year.

As home to thousands of ethnic groups, hundreds of languages, and numerous religions, a cohesive and broadly-supported effort to reduce population growth is difficult to create. Despite that, India is one country to watch in coming years. It is also a growing economic power; among other measures, its GDP per capita was expected to triple between 2003 and 2013 and was listed as the third-ranked country for its share of the global gross domestic product.

This map shows the percentage of people who identify as something other than non-Hispanic white throughout the US according to the most current American Community Survey. The pattern is shown by states, counties, and Census tracts. Zoom or search for anywhere in the US to see a local pattern. Click on an area to learn more. Filter to your area and save a new version of the map to use for your own mapping purposes.The Arcade expression used was: 100 - B03002_calc_pctNHWhiteE, which is simply 100 minus the percent of population who identifies as non-Hispanic white. The data is from the U.S. Census Bureau's American Community Survey (ACS). The figures in this map update automatically annually when the newest estimates are released by ACS. For more detailed metadata, visit the ArcGIS Living Atlas Layer: ACS Race and Hispanic Origin Variables - Boundaries.The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.Other maps of interest:American Indian or Alaska Native Population in the US (Current ACS)Asian Population in the US (Current ACS)Black or African American Population in the US (Current ACS)Hawaiian or Other Pacific Islander Population in the US (Current ACS)Hispanic or Latino Population in the US (Current ACS) (some people prefer Latinx)Population who are Some Other Race in the US (Current ACS)Population who are Two or More Races in the US (Current ACS) (some people prefer mixed race or multiracial)White Population in the US (Current ACS)Race in the US by Dot DensityWhat is the most common race/ethnicity?

New York was the most populous state in the union in the year 1900. It had the largest white population, for both native born and foreign born persons, and together these groups made up over 7.1 million of New York's 7.2 million inhabitants at this time. The United States' industrial centers to the north and northeast were one of the most important economic draws during this period, and states in these regions had the largest foreign born white populations. Ethnic minorities Immigration into the agricultural southern states was much lower than the north, and these states had the largest Black populations due to the legacy of slavery - this balance would begin to shift in the following decades as a large share of the Black population migrated to urban centers to the north during the Great Migration. The Japanese and Chinese populations at this time were more concentrated in the West, as these states were the most common point of entry for Asians into the country. The states with the largest Native American populations were to the west and southwest, due to the legacy of forced displacement - this included the Indian Territory, an unorganized and independent territory assigned to the Native American population in the early 1800s, although this was incorporated into Oklahoma when it was admitted into the union in 1907. Additionally, non-taxpaying Native Americans were historically omitted from the U.S. Census, as they usually lived in separate communities and could not vote or hold office - more of an effort was made to count all Native Americans from 1890 onward, although there are likely inaccuracies in the figures given here. Changing distribution Internal migration in the 20th century greatly changed population distribution across the country, with California and Florida now ranking among the three most populous states in the U.S. today, while they were outside the top 20 in 1900. The growth of Western states' populations was largely due to the wave of internal migration during the Great Depression, where unemployment in the east saw many emigrate to "newer" states in search of opportunity, as well as significant immigration from Latin America (especially Mexico) and Asia since the mid-1900s.

Data quality:Hamilton, City (C)Total non-response (TNR) rate, short-form census questionnaire: 2.5%Total non-response (TNR) rate, long-form census questionnaire: 3.5%Notes: 117 'Visible minority' refers to whether a person is a visible minority or not as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as "persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese.In 2021 Census analytical and communications products the term "visible minority" has been replaced by the terms "racialized population" or "racialized groups" reflecting the increased use of these terms in the public sphere. For more information on visible minority and population group variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Visible Minority and Population Group Reference Guide Census of Population 2021. 118 In 2021 Census analytical and communications products the term "visible minority" has been replaced by the terms "racialized population" or "racialized groups" reflecting the increased use of these terms in the public sphere. 119 The abbreviation "n.i.e." means "not included elsewhere." This category includes persons who provided responses that are classified as a visible minority but that cannot be classified with a specific visible minority group. Such responses include for example "Guyanese " "Pacific Islander " "Polynesian " "Tibetan" and "West Indian." 120 In 2021 Census analytical and communications products this category is referred to as "the rest of the population." 121 'Ethnic or cultural origin' refers to the ethnic or cultural origins of the person's ancestors. Ancestors may have Indigenous origins origins that refer to different countries or other origins that may not refer to different countries.The sum of the ethnic or cultural origins in this table is greater than the total population estimate because a person may report more than one ethnic or cultural origin in the census. The ethnic groups selected are the most frequently reported at the Canada level. For more information on ethnic or cultural origin variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Ethnic or Cultural Origin Reference Guide Census of Population 2021. 122 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating French origins not otherwise specified (e.g. "French"). 123 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating British Isles origins not otherwise specified (e.g. "British " "United Kingdom"). 124 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Caucasian (White) origins not otherwise specified (e.g. "Caucasian"). 125 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating First Nations (North American Indian) origins not otherwise specified (e.g. "First Nations " "North American Indian"). 126 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating European origins not otherwise specified (e.g. "European"). 127 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating African origins not otherwise specified (e.g. "African"). 128 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Arab origins not otherwise specified (e.g. "Arab"). 129 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Asian origins not otherwise specified (e.g. "Asian"). 130 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Cree origins not otherwise specified (e.g. "Cree"). 131 The abbreviation "n.i.e." means "not included elsewhere." This category includes responses indicating Christian origins not included elsewhere (e.g. "Christian " "Baptist " "Catholic"). 132 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating North American Indigenous origins not otherwise specified (e.g. "Aboriginal " "Indigenous"). 133 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating South Asian origins not otherwise specified (e.g. "South Asian"). 134 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Mi'kmaq origins not otherwise specified (e.g. "Mi'kmaq"). 135 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Northern European origins not otherwise specified (e.g. "Northern European " "Scandinavian"). 136 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Latin Central or South American origins not otherwise specified (e.g. "Latin American " "South American"). 137 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Black origins not otherwise specified (e.g. "Black"). 138 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Inuit origins not otherwise specified (e.g. "Inuit"). 139 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Eastern European origins not otherwise specified (e.g. "Eastern European"). 140 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating East or Southeast Asian origins not otherwise specified (e.g. "East Asian " "Southeast Asian"). 141 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating West or Central Asian or Middle Eastern origins not otherwise specified (e.g. "Central Asian " "Middle Eastern " "West Asian"). 142 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Caribbean origins not otherwise specified (e.g. "Caribbean"). 143 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating West Indian origins not otherwise specified (e.g. "West Indian"). 144 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Hispanic origins not otherwise specified (e.g. "Hispanic"). 145 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Western European origins not otherwise specified (e.g. "Western European"). 146 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Czechoslovakian origins not otherwise specified (e.g. "Czechoslovakian"). 147 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Yugoslavian origins not otherwise specified (e.g. "Yugoslavian"). 148 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Slavic origins not otherwise specified (e.g. "Slavic"). 149 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Innu origins not otherwise specified (e.g. "Innu " "Montagnais"). 150 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Celtic origins not otherwise specified (e.g. "Celtic"). 151 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating North American origins not otherwise specified (e.g. "North American"). 152 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Dene origins not otherwise specified (e.g. "Dene"). 153 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Blackfoot origins not otherwise specified (e.g. "Blackfoot"). 154 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Iroquoian (Haudenosaunee) origins not otherwise specified (e.g. "Iroquois " "Haudenosaunee"). 155 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating North African origins not otherwise specified (e.g. "North African"). 156 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Southern or East African origins not otherwise specified (e.g. "East African"). 157 The abbreviation "n.o.s." means "not otherwise specified.' This category includes responses indicating Anishinaabe origins not otherwise specified (e.g. "Anishinaabe"). 158 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Bantu origins not otherwise specified (e.g. "Bantu"). 159 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Akan origins not otherwise specified (e.g. "Akan"). 160 The abbreviation "n.o.s." means "not otherwise specified." This category includes responses indicating Central or West African origins not otherwise specified (e.g. "Central African " "West African"). 161 'Religion' refers to the person's self-identification as having a connection or affiliation with any religious denomination group body or other religiously defined community or system of belief. Religion is not limited to formal membership in a

As of June 2024, there were around 3.09 million ethnic Chinese residents in Singapore. Singapore is a multi-ethnic society, with residents categorized into four main racial groups: Chinese, Malay, Indian, and Others. Each resident is assigned a racial category that follows the paternal side. This categorization would have an impact on both official as well as private matters. Modelling a peaceful, multi-ethnic society The racial categorization used in Singapore stemmed from its colonial past and continues to shape its social policies, from public housing quotas along the ethnic composition in the country to education policies pertaining second language, or ‘mother tongue’, instruction. Despite the emphasis on ethnicity and race, Singapore has managed to maintain a peaceful co-existence among its diverse population. Most Singaporeans across ethnic levels view the level of racial and religious harmony there to be moderately high. The level of acceptance and comfort with having people of other ethnicities in their social lives was also relatively high across the different ethnic groups. Are Singaporeans ready to move away from the CMIO model of ethnic classification? In recent times, however, there has been more open discussion on racism and the relevance of the CMIO (Chinese, Malay, Indian, Others) ethnic model for Singaporean society. The global discourse on racism has brought to attention the latent discrimination felt by the minority ethnic groups in Singapore, such as in the workplace. In 2010, Singapore introduced the option of having a ‘double-barreled’ race classification, reflecting the increasingly diverse and complicated ethnic background of its population. More than a decade later, there have been calls to do away from such racial classifications altogether. However, with social identity and policy deeply entrenched along these lines, it would be a challenge to move beyond race in Singapore.

Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

The aboriginal populations chart shows the composition of the aboriginal population in a municipality.

BackgroundMigrant and ethnic minority groups are often assumed to have poor health relative to the majority population. Few countries have the capacity to study a key indicator, mortality, by ethnicity and country of birth. We hypothesized at least 10% differences in mortality by ethnic group in Scotland that would not be wholly attenuated by adjustment for socio-economic factors or country of birth.Methods and findingsWe linked the Scottish 2001 Census to mortality data (2001–2013) in 4.62 million people (91% of estimated population), calculating age-adjusted mortality rate ratios (RRs; multiplied by 100 as percentages) with 95% confidence intervals (CIs) for 13 ethnic groups, with the White Scottish group as reference (ethnic group classification follows the Scottish 2001 Census). The Scottish Index of Multiple Deprivation, education status, and household tenure were socio-economic status (SES) confounding variables and born in the UK or Republic of Ireland (UK/RoI) an interacting and confounding variable. Smoking and diabetes data were from a primary care sub-sample (about 53,000 people). Males and females in most minority groups had lower age-adjusted mortality RRs than the White Scottish group. The 95% CIs provided good evidence that the RR was more than 10% lower in the following ethnic groups: Other White British (72.3 [95% CI 64.2, 81.3] in males and 75.2 [68.0, 83.2] in females); Other White (80.8 [72.8, 89.8] in males and 76.2 [68.6, 84.7] in females); Indian (62.6 [51.6, 76.0] in males and 60.7 [50.4, 73.1] in females); Pakistani (66.1 [57.4, 76.2] in males and 73.8 [63.7, 85.5] in females); Bangladeshi males (50.7 [32.5, 79.1]); Caribbean females (57.5 [38.5, 85.9]); and Chinese (52.2 [43.7, 62.5] in males and 65.8 [55.3, 78.2] in females). The differences were diminished but not eliminated after adjusting for UK/RoI birth and SES variables. A mortality advantage was evident in all 12 minority groups for those born abroad, but in only 6/12 male groups and 5/12 female groups of those born in the UK/RoI. In the primary care sub-sample, after adjustment for age, UK/RoI born, SES, smoking, and diabetes, the RR was not lower in Indian males (114.7 [95% CI 78.3, 167.9]) and Pakistani females (103.9 [73.9, 145.9]) than in White Scottish males and females, respectively. The main limitations were the inability to include deaths abroad and the small number of deaths in some ethnic minority groups, especially for people born in the UK/RoI.ConclusionsThere was relatively low mortality for many ethnic minority groups compared to the White Scottish majority. The mortality advantage was less clear in UK/RoI-born minority group offspring than in immigrants. These differences need explaining, and health-related behaviours seem important. Similar analyses are required internationally to fulfil agreed goals for monitoring, understanding, and improving health in ethnically diverse societies and to apply to health policy, especially on health inequalities and inequities.

In the 3 years to March 2021, white British families were the most likely to receive a type of state support.

The United States hosted, by far, the highest number of immigrants in the world in 2020. That year, there were over ** million people born outside of the States residing in the country. Germany and Saudi Arabia followed behind at around ** and ** million, respectively. There are varying reasons for people to emigrate from their country of origin, from poverty and unemployment to war and persecution. American Migration People migrate to the United States for a variety of reasons, from job and educational opportunities to family reunification. Overall, in 2021, most people that became legal residents of the United States did so for family reunification purposes, totaling ******* people that year. An additional ******* people became legal residents through employment opportunities. In terms of naturalized citizenship, ******* people from Mexico became naturalized American citizens in 2021, followed by people from India, the Philippines, Cuba, and China. German Migration Behind the United States, Germany also has a significant migrant population. Migration to Germany increased during the mid-2010's, in light of the Syrian Civil War and refugee crisis, and during the 2020’s, in light of conflict in Afghanistan and Ukraine. Moreover, as German society continues to age, there are less workers in the labor market. In a low-migration scenario, Germany will have **** million skilled workers by 2040, compared to **** million by 2040 in a high-migration scenario. In both scenarios, this is still a decrease from **** skilled workers in 2020.

In 2022, the population density in India remained nearly unchanged at around 479.43 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Sri Lanka and Pakistan.

Abstract

The 44th round started from July 1988. The survey period of this round was July 1988 to June 1989. This round has been devoted to mainly three enquiries. First and foremost, there has been an enquiry on the living condition of the tribal population. Of the other two, one is concerned with the housing condition of the general population and the other is a survey on current building construction activity. For the purpose of this enquiry, “tribal population” mean the members of the Scheduled Tribes declared under the Article 342 of the Constitution of India. They are known to be the descendants of the earliest inhabitants of India (hence called “Adivasis”). At present, in most parts of India, they form one of the economically weakest sections of the society. So far there has not been any systematic study of their living conditions covering the whole country. Whatever data are available are derived from the decennial censuses, apart from some micro studies carried out by social anthropologists. In the NSS the tribal population has always been covered as part of the general population. In NSS 32nd and 33rd rounds special surveys had been carried out through an integrated schedule (schedule 16.4) in the North-Eastern region. The survey was conducted in the rural areas of the following States:- 32nd round : Arunachal Pradesh, Assam (N. Cachar and Karbi Anglong districts only), Manipur, Meghalaya and Tripura; 33rd round: In addition to the above States, Mizoram also. Even though this covered many aspects specially related to the life of the people of this region (who are mostly tribals), no such survey has so far been undertaken about the life of the tribals living in the main tribal belt stretching from West Bengal through Bihar, Orissa, Madhya Pradesh to Gujarat and Rajasthan. The scope of the enquiry is to understand the living condition of the tribals living in the main tribal belt stretching from West Bengal through Bihar, Orissa, Madhya Pradesh to Gujarat and Rajasthan.) The object of the enquiry in the this round is to throw light on as many aspects as possible of the tribal population of this country. This relates to aspects of their “level of the living” including demographic and activity particulars, family expenditure etc. as well as to their entrepreneurial activities.

Geographic coverage

The survey covered the whole of Indian Union except Ladakh and Kargil districts of Jammu and Kashmir state. The rural areas of Nagaland, so far outside NSS coverage up to the 43rd round, have also been brought in this round.

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design is stratified two-stage with the census village as the first stage unit in the rural sector and UFS block as the first stage unit in the urban sector. The second stage units are households.

The sample design in the rural sector has been decided with a view to providing good estimates for the tribal enquiry. Except in the north-eastern region, the tribal population is concentrated in some districts within the states having considerable tribal population and even in those districts they are found to be unevenly distributed geographically. Therefore special stratification and selection procedures have been adopted not only to net sufficient number of tribal households in the sample but also to improve the design in general for the tribal enquiry.

While the rural design is oriented towards the tribal enquiry, the urban design is oriented towards the enquiry on construction. As building construction activity is found to be concentrated in some areas in the urban sector, attempts have been made in urban design to demarcate such areas in larger towns as separate strata. Detailed description of the rural and urban sample designs are as follows:

SAMPLE DESIGN : RURAL

Sampling frame of villages: The list of 1981 census villages constitute the sampling frame for selection of villages in most districts. However in Assam (where '81 census was not done) and a few districts of some other states (where the available lists of villages were not satisfactory), 1971 census village lists have been used as frame.

Stratification :
In Haryana, Jammu & Kashmir, Punjab, Chandigarh, Delhi, Goa, Daman & Diu and Pondicherry where there are practically no tribal population, the strata used in NSS 43rd round were retained. In Meghalaya, Mizoram, Nagaland, Arunachal Pradesh, Sikkim, Dadra and Nagar Haveli and Lakshadweep also the strata of 43rd round were retained because of the high percentage of ST population in these States/U.T.'s. (The strata of 43rd round have been retained in the case of Sikkim as the distribution of tribal population is more or less uniform over all the districts). In the remaining states fresh stratification was carried out as described below.

In these states all districts accounting for the bulk of the state's tribal population were selected for formation of strata with concentration of tribal population. Besides these districts, tribal concentration strata have been demarcated also in some other districts with relatively small tribal population in order to ensure coverage of as many different ethnic groups as possible.

Within each district so identified for formation of tribal concentration strata, the tehsils with relatively high concentration of tribal population, together constituted one stratum. These tehsils were selected in such a way that together they accounted for the bulk (70% or more) of the district tribal population and the proportion of tribal to total population in this stratum was significantly greater than that of the district as a whole. The strata so formed were not always geographically contiguous. These tribal concentration strata are called STRATUM TYPE -1. Further, all the strata of Meghalaya, Mizoram, Nagaland, Arunachal Pradesh, Dadra & Nagar Haveli, Lakshadweep and Sikkim are also considered as stratum type-1. All the remaining strata in the rural sector (in any State/U.T.) are called stratum type -2.

Sampling deviation

There was no deviation from the original sampling design.

Mode of data collection

Face-to-face [f2f]

Research instrument

NSS Round 44 Schedule 29.2 consists of 17 blocks as enumerated below:

Block 1: identification of sample household Block 2: particulars of field operations Block 3: remarks by investigator Block 4: remarks by supervisory officer (s) Block 5: household characteristics Block 6: demographic particulars of household members Block 7: particulars of assistance received by the household during last 3 years Block 8: particulars of land owned and possessed Block 9: particulars of disposal of land during last 5 years Block 10: information on input items for cultivation during 1987-88 Block 11: particulars of crops produced during 1987-88 Block 12: particulars of wage employment in forest and forestry operation
Block 13: particulars of forest produce collected, consumed at home and sold by household members during last 30 days as self-employed Block 14: particulars of household enterprise (other than cultivation) during last 30 days Block 15: particulars of products (other than forest products) marketed during last 30 days Block 16 : inventory of assets owned on the date of survey Block 17 : cash dues and grain & other commodity dues payable by the household as on the date of survey and particulars of transaction of loans during last 365 days

The aboriginal populations chart shows the composition of the aboriginal population in a municipality.

With nearly 49,000 living in Denmark as of January 1, 2024, most immigrants were from Poland. The second and third largest groups of immigrants were from Ukraine and Romania, amounting to roughly 41,000 and 40,000 people, respectively. Tightening immigration policies Like many European countries, Denmark experienced a heightened influx of immigrants in 2015. In the wake of the refugee situation, however, the number of immigrants, notably asylum seekers, declined in part due to sharpened immigration policies. In 2015, over 21,000 refugees applied for asylum in Denmark, whereas applications fell below 5,000 in 2022. Residence permits Among the different types of residence permits, permits granted based on asylum were the least delivered type of permit. Only 1,400 people were granted asylum in Denmark in 2022. The highest number of asylum seekers came from Ukraine, even when excluding Ukrainians arriving via the temporary protection act. In 2022, Denmark registered around 2,000 applications from Ukrainians.

As of 2022, South Africa's population increased and counted approximately 60.6 million inhabitants in total, of which the majority (roughly 49.1 million) were Black Africans. Individuals with an Indian or Asian background formed the smallest population group, counting approximately 1.56 million people overall. Looking at the population from a regional perspective, Gauteng (includes Johannesburg) is the smallest province of South Africa, though highly urbanized with a population of nearly 16 million people.

Increase in number of households

The total number of households increased annually between 2002 and 2022. Between this period, the number of households in South Africa grew by approximately 65 percent. Furthermore, households comprising two to three members were more common in urban areas (39.2 percent) than they were in rural areas (30.6 percent). Households with six or more people, on the other hand, amounted to 19.3 percent in rural areas, being roughly twice as common as those in urban areas.

Main sources of income

The majority of the households in South Africa had salaries or grants as a main source of income in 2019. Roughly 10.7 million drew their income from regular wages, whereas 7.9 million households received social grants paid by the government for citizens in need of state support.

Migrants from the United Kingdom have long been Australia’s primary immigrant group and in 2023 there were roughly 960 thousand English-born people living in Australia. India and China held second and third place respectively with regard to Australia’s foreign-born population. The relative dominance of Asian countries in the list of top ten foreign-born residents of Australia represents a significant shift in Australia’s immigration patterns over the past few decades. Where European-born migrants had previously overshadowed other migrant groups, Australian migration figures are now showing greater migration numbers from neighboring countries in Asia and the Pacific. A history of migration Australia is often referred to as an ‘immigrant nation’, alongside the United States, Canada, and New Zealand. Before the Second World War, migrants to Australia were almost exclusively from the UK, however after 1945, Australia’s immigration policy was broadened to attract economic migrants and temporary skilled migrants. These policy changes saw and increase in immigrants particularly from Greece and Italy. Today, Australia maintains its status as an ‘’Immigrant nation’’, with almost 30 percent of the population born overseas and around 50 percent of the population having both that were born overseas. Australian visas The Australian immigration program has two main categories of visa, permanent and temporary. The permanent visa category offers three primary pathways: skilled, family and humanitarian. The skilled visa category is by far the most common, with more than a million permanent migrants living in Australia on this visa category at the last Australian census in 2021. Of the temporary visa categories, the higher education visa is the most popular, exceeding 180 thousand arrivals in 2023.

In 2011, 87.2 percent of the total population of the United Kingdom were white British. A positive net migration in recent years combined with the resultant international relationships following the wide-reaching former British Empire has contributed to an increasingly diverse population.

Varied ethnic backgrounds

Black British citizens, with African and/or African-Caribbean ancestry, are the largest ethnic minority population, at three percent of the total population. Indian Britons are one of the largest overseas communities of the Indian diaspora and make up 2.3 percent of the total UK population. Pakistani British citizens, who make up almost two percent of the UK population, have one of the highest levels of home ownership in Britain.

Racism in the United Kingdom

Though it has decreased in comparison to the previous century, the UK has seen an increase in racial prejudice during the first decade and a half of this century. Racism and discrimination continues to be part of daily life for Britain’s ethnic minorities, especially in terms of work, housing, and health issues. Moreover, the number of hate crimes motivated by race reported since 2012 has increased, and in 2017/18, there were 3,368 recorded offenses of racially or religiously aggravated assault with injury, almost a thousand more than in 2013/14.

Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2022, the degree of literacy in India was about 76.32 percent, with the majority of literate Indians being men. It is estimated that the global literacy rate for people aged 15 and above is about 86 percent. How to read a literacy rateIn order to identify potential for intellectual and educational progress, the literacy rate of a country covers the level of education and skills acquired by a country’s inhabitants. Literacy is an important indicator of a country’s economic progress and the standard of living – it shows how many people have access to education. However, the standards to measure literacy cannot be universally applied. Measures to identify and define illiterate and literate inhabitants vary from country to country: In some, illiteracy is equated with no schooling at all, for example. Writings on the wallGlobally speaking, more men are able to read and write than women, and this disparity is also reflected in the literacy rate in India – with scarcity of schools and education in rural areas being one factor, and poverty another. Especially in rural areas, women and girls are often not given proper access to formal education, and even if they are, many drop out. Today, India is already being surpassed in this area by other emerging economies, like Brazil, China, and even by most other countries in the Asia-Pacific region. To catch up, India now has to offer more educational programs to its rural population, not only on how to read and write, but also on traditional gender roles and rights.

The majority of immigrants moving to Sweden in 2023 were Swedes returning to Sweden. Nearly 10,600 Swedes returned to their home country in 2023. The remaining top five countries of origin were India, Poland, Germany, and Syria. In total, 95,000 people immigrated to Sweden in 2023.

Syrians largest immigrant group

Of Sweden's foreign-born population, Syrians made up the largest group. Following the outbreak of the Syrian Civil War in 2011, many people left the country in search of a better life in Europe, some of which landed in Sweden. In 2022, Sweden hosted the world's 7th largest group of Syrian refugees.

Immigration drives population increase in Sweden

Over the past decade, Sweden has seen a positive migration rate, with more people immigrating to the country than people leaving. This is one of the main reasons why the country's population has been increasing steadily over recent years.