Important Note: This item is in mature support as of June 2023 and will retire in December 2025. A new version of this item is available for your use.Europe NUTS 0 Demographics and Boundaries provides country-level demographic, economic, and boundary information for Europe.Europe NUTS 0 Demographics and Boundaries represents areas of aggregated socioeconomic and demographic information at the NUTS 0 (country) level for Europe. NUTS (Nomenclature des Unités Territoriales Statistiques) refers to the Nomenclature of Territorial Units for Statistics.The 2020 demographic attributes and boundaries are provided by Michael Bauer Research GmbH. These were published in 2021 and are updated annually.

Fayl Faylın tarixçəsi Faylın istifadəsi Faylın qlobal istifadəsi MetaməlumatlarSınaq göstərişi ölçüsü 485 600 piksel Dig

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This shapefile represents autonomous peoples of Europe for the year 900. Autonomous peoples are generally nomadic, semi-nomadic or not well-known populations without evident central authority. This layer is part of the Euratlas Georeferenced Vector Data collection that is composed of 21 maps, one for each century from year 1 to year 2000. These maps depict the detailed political situation of Europe at the first day of each centennial year C.E. from year 1 to 2000. Each map is composed of two kinds of layers: physical features layers, such as seas and rivers, and political features layers, such as states and cities. Some layers also cover adjacent portions of North Africa and the Middle East.This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map comprised of two condensed maps showing Aboriginal population. The main map shows an attempt to depict the Aboriginal ethnic and linguistic situation as it existed when the various Aboriginal peoples were first met by Europeans. It is based on a similar map which accompanied Bulletin 65 of the National museum of Canada - Indians of Canada by Diamond Jeness, first published in 1932. As Canada was first explored almost wholly in an east to west direction, the time of first European contact varies from place to place. Europeans met the Aboriginal peoples of the Labrador coast as early as the eleventh century A.D., while, on the other hand, many tribes in the far west and north-west remained unknown until late in the nineteenth century A.D. It must also be understood that this map is valid only for a limited period of time before and after the first European contact in any area. The fact that a given tribe was found in a certain area in 1600 A.D., for example, is no basis for assuming that it was there several centuries earlier. Of the groups shown, the Beothuk, Tsetsaut and Nicola are now extinct. The small scale inset map and graph that accompany the main map give a general picture of the distribution of Canada's Aboriginal population in 1951.

ESRI DATA: World Countries and World Administrative Areas; 2010 US Census datasets with their new geometry and attributes. Block Group, Tract, County and State are all represented as polygons with over 40 attribute fields containing population totals by age and race, along with family and household information. Census Blocks are represented as points with total population and household information; European demographics datasets, North America Street Map, World Base Maps, mainly topographic data such as roads, lakes, administrative boundaries

This statistic shows the estimated number of Muslims living in different European countries as of 2016. Approximately **** million Muslims were estimated to live in France, the most of any country listed. Germany and the United Kingdom also have large muslim populations with **** million and **** million respectively.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map comprised of two condensed maps showing Aboriginal population. The main map shows an attempt to depict the Aboriginal ethnic and linguistic situation as it existed when the various Aboriginal peoples were first met by Europeans. It is based on a similar map which accompanied Bulletin 65 of the National museum of Canada - Indians of Canada by Diamond Jeness, first published in 1932. As Canada was first explored almost wholly in an east to west direction, the time of first European contact varies from place to place. Europeans met the Aboriginal peoples of the Labrador coast as early as the eleventh century A.D., while, on the other hand, many tribes in the far west and north-west remained unknown until late in the nineteenth century A.D. It must also be understood that this map is valid only for a limited period of time before and after the first European contact in any area. The fact that a given tribe was found in a certain area in 1600 A.D., for example, is no basis for assuming that it was there several centuries earlier. Of the groups shown, the Beothuk, Tsetsaut and Nicola are now extinct. The small scale inset map and graph that accompany the main map give a general picture of the distribution of Canada's Aboriginal population in 1951.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows the distribution of indigenous population of Canada and the northern United States circa 1740. It also shows population groups by size, name and linguistic family and outlines areas of European settlement and areas known to Europeans. There is an extensive table keyed to map which lists indigenous societies.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map comprised of two condensed maps showing Aboriginal population. The main map shows an attempt to depict the Aboriginal ethnic and linguistic situation as it existed when the various Aboriginal peoples were first met by Europeans. It is based on a similar map which accompanied Bulletin 65 of the National museum of Canada - Indians of Canada by Diamond Jeness, first published in 1932. As Canada was first explored almost wholly in an east to west direction, the time of first European contact varies from place to place. Europeans met the Aboriginal peoples of the Labrador coast as early as the eleventh century A.D., while, on the other hand, many tribes in the far west and north-west remained unknown until late in the nineteenth century A.D. It must also be understood that this map is valid only for a limited period of time before and after the first European contact in any area. The fact that a given tribe was found in a certain area in 1600 A.D., for example, is no basis for assuming that it was there several centuries earlier. Of the groups shown, the Beothuk, Tsetsaut and Nicola are now extinct. The small scale inset map and graph that accompany the main map give a general picture of the distribution of Canada's Aboriginal population in 1951.

Genome-wide association studies (GWAS) have detected many disease associations. However, the reported variants tend to explain small fractions of risk, and there are doubts about issues such as the portability of findings over different ethnic groups or the relative roles of rare versus common variants in the genetic architecture of complex disease. Studying the degree of sharing of disease-associated variants across populations can help in solving these issues. We present a comprehensive survey of GWAS replicability across 28 diseases. Most loci and SNPs discovered in Europeans for these conditions have been extensively replicated using peoples of European and East Asian ancestry, while the replication with individuals of African ancestry is much less common. We found a strong and significant correlation of Odds Ratios across Europeans and East Asians, indicating that underlying causal variants are common and shared between the two ancestries. Moreover, SNPs that failed to replicate in East Asians map into genomic regions where Linkage Disequilibrium patterns differ significantly between populations. Finally, we observed that GWAS with larger sample sizes have detected variants with weaker effects rather than with lower frequencies. Our results indicate that most GWAS results are due to common variants. In addition, the sharing of disease alleles and the high correlation in their effect sizes suggest that most of the underlying causal variants are shared between Europeans and East Asians and that they tend to map close to the associated marker SNPs.

Dataset contains ethnic group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the ethnic group population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.

The ethnic groups are:

• European
• Māori
• Pacific peoples
• Asian
• Middle Eastern/Latin American/African
• Other ethnicity

Map shows percentage change in the census usually resident population count for ethnic groups between the 2018 and 2023 Censuses.

Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

​

Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

​

Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. 

​

Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

​

About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

​

Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

​

Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

​

Ethnicity concept quality rating

Ethnicity is rated as high quality.

Ethnicity – 2023 Census: Information by concept has more information, for example, definitions and data quality.

​

Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

​

Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

​

Symbol

-998 Not applicable

-999 Confidential

​

Percentages

To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows distribution of indigenous population of Canada and the northeastern United States circa 1630. It also shows population groups by size, name and linguistic affiliation, and depicts archaeological complexes, and outlines areas known to Europeans. Extensive table detailing subsistence patterns of indigenous societies. European settlements by 1630 are also listed.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows the distribution of indigenous population of Canada and the northern United States circa 1740. It also shows population groups by size, name and linguistic family and outlines areas of European settlement and areas known to Europeans. There is an extensive table keyed to map which lists indigenous societies.

This map package includes the settlement patterns of the Aboriginal Peoples and Europeans in Canada from 1631-1823. In addition, explorer routes are included from 1631-1894.

Dataset contains ethnic group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the ethnic group population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by territorial authority and Auckland local board.

The ethnic groups are:

• European
• Māori
• Pacific peoples
• Asian
• Middle Eastern/Latin American/African
• Other ethnicity.

Map shows percentage change in the census usually resident population count for ethnic groups between the 2018 and 2023 Censuses.

Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

​

Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

​

Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

​

Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

​

About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

​

Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

​

Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

​

Ethnicity concept quality rating

Ethnicity is rated as high quality.

Ethnicity – 2023 Census: Information by concept has more information, for example, definitions and data quality.

​

Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

​

Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

​

Symbol

-998 Not applicable

​

Percentages

To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

This dataset combines information on debt advice clients from three agencies working in London.

This dataset is built from information recorded by debt advice agencies on their client databases. It therefore does not provide a complete picture of debt in London, but helps to understand the characteristics of those seeking debt advice. The data are aggregated from three separate sources, and categories have been matched where possible to provide consistent output. Unknown cases for each variable have been omitted and numbers below 5 have been supressed, so there are different numbers of clients for each variable.

Key Findings

1. -The number of people seeking debt advice varies widely across London, up to more than 200 clients in one year in one postcode sector.
2. -Around 4 in 10 of those seeking debt advice were in the 35-49 age group
3. -Londoners seeking debt advice came from across the spectrum of society, owner occupiers to homeless, all age groups and all ethnicities.
4. -Levels of debt ranged from under £1,000 to over £1,000,000

Download Data

• Combined debt advice statistics 2010-11

• Combined debt advice statistics 2011-12

*Maps

The GLA has prepared a series of maps visualising the debt advice data. These can be downloaded in PNG format below.

Geographic Unit, Measure, 2010-11, 2011-12

Borough, Age of clients, Map (PNG), Map (PNG)

Borough, Level of debt, Map (PNG), Map (PNG)

Borough, Level of debt of clients over 65, Map (PNG), Map (PNG)

Borough, Ethnicity of clients, Map (PNG), Map (PNG)

Borough, Tenure of clients, Map (PNG), Map (PNG)

Postcode Sector, Number of clients, Map (PNG), Map (PNG)

The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

Part I.—The Report. Introduction. Chapter I.—Distribution and Variation of the Population. II.—Towns and Villages. III.—Birth-place. IV—Age. V.—Sex. VI.—Civil Condition. VII.—Infirmities. VIII.—Occupation. IX.—Literacy. X.—Language. XI.—Religion- XII.—Race. Appendix A.—Burma Linguistic Map. B.—Burma Racial Map. C.—A Note on the Indigenous Races of Burma. D.—Notes by the Special Census Enumerators on the Manners and Customs of the Tribes inhabiting certain Hill-Tracts in the Akyab District. E.—Naga Tribes and their Customs. F.—Note on the Peoples of Burma in the 12th—13th Century A.D. Part II.—The Tables. - Imperial Tables. I.—Area, Houses and Population. II.—Variation in Population during last fifty years. III.—Towns and Village-Tracts classified by Population. IV.—Towns classified by Population with variation for fifty years. V.—Towns arranged territorially with Population by Religion. VI.—Birth-place. VII.—Age, Sex and Civil Condition by Race. VIII.—Civil Condition by Age for Selected Races. IX.—Infirmities. X.—Occupation or Means of Livelihood. XI.—Occupations by Race. XII.—(This table was not compiled,) XIII.—Literacy by Race and Age. XIV.—Literacy by Selected Races. XV.—Language. XVI.—Religion. XVII—Race. XVIII.—'Variation of Population of Race-groups. XIX.—European and Allied Races and Anglo-Indians by Race and Age.