Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

This map shows where senior populations are found throughout the world. Areas with more than 10% seniors are highlighted with a dark red shading while a dot representation reveals the number of seniors and their distribution in bright red.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

Purpose:

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

This dataset, released in August 2017, contains the Australian residents population by their birthplace divided into English speaking (ES) and non-English speaking (NES) countries, 2016. The following countries are designated as ES: Canada, Ireland, New Zealand, South Africa, United Kingdom and the United States of America; the remaining countries are designated as NES. The dataset also includes the population of people born overseas and report poor proficiency in English. The data is by Local Government Area (LGA) 2016 geographic boundaries.

For more information please see the data source notes on the data.

Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

The AZMP was implemented in 1998 with the aim of collecting and analyzing the biological, chemical, and physical data to detect and monitor seasonal and interannual variability in eastern Canadian waters. The key element of the AZMP sampling strategy is the oceanographic sampling at fixed stations (every two weeks, conditions permitting) and along sections (1–3 times per year). Field sampling and laboratory analyses are carried out following well-established common protocols.

As part of AZMP, the Maritimes Region is responsible for three fixed stations that are sampled once to twice monthly during ice-free season: Shediac Valley, in the Southern Gulf of St. Lawrence, Halifax Station 2, on the central Scotian Shelf, and Prince-5, in the western Bay of Fundy. Four sections are sampled twice yearly (spring and fall): Cabot Strait Line, Louisbourg Line, Halifax Line, and Brown’s Bank Line.

In addition to the fixed stations and sections, AZMP Maritimes collects physical, chemical and biological samples on the ecosystem trawl (groundfish) surveys: Georges Bank in winter, eastern Scotian Shelf in spring, Scotian Shelf and Bay of Fundy in summer and Southern Gulf of St. Lawrence in fall.

Canadian quality-controlled Integrated Science Data Management (ISDM, formerly MEDS) drifting (and some moored) buoy data, used as input for International Comprehensive Ocean-Atmosphere Data Set (ICOADS). Data from drifters with deep drogues [http://www.meds-sdmm.dfo-mpo.gc.ca/isdm-gdsi/drib-bder/kiel/kiel-eng.htm], collected by the Institut fur Meereskunde, at the University of Kiel from 1980 to 1996, are also archived in this dataset.

This map shows where youth populations are found throughout the world. Areas with more than 33% youth are highlighted with a dark red shading while a dot representation reveals the number of seniors and their distribution in bright red.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

Co-ordinated by the Statistical Service of the Ministry of Justice of the Netherlands, this study aims at obtaining comparable data on crime in various countries. Since official statistics provide information that is heavily dependent on the organization of the police and the justice system in each country, the study's approach is to study the incidence of crime in the population - the degree of victimization in the population - by means of an international survey of the population. 14 countries participated in the 1989 survey: USA, Canada, Australia, France, England, Scotland, Northern Ireland, Spain, Federal Republic of Germany, Switzerland, Netherlands, Belgium, Norway and Finland, as well as two cities, Warsaw (Poland) and Surabaja (Indonesia). Japan participated on the basis of a somewhat modified questionnaire and sampling. The survey was resumed in 1992 in the following countries: England, the Netherlands, Belgium, Finland, USA, Canada, Australia, and additionally Sweden, Italy, New Zealand, Poland, Czech Republic, Slovakia, Georgia, Estonia, Indonesia and Costa Rica. On the other hand, Scotland, Northern Ireland, Germany, Switzerland, France, Norway, Spain and Japan didn't take part. Selected cities in the following countries also took part: Argentina, Albania, India, South Africa, Russia, Slovenia, Uganda, Brazil, Philippines, Egypt, Tanzania, Tunisia, China. The following crimes were investigated by the investigation: car theft, motorcycle theft, moped theft and bicycles theft, burglary, robbery, simple theft and pickpocketing, sexual assault, assault and battery, threats. Respondents who were victims of such crimes were asked a few brief questions about the place of the offense, the material consequences, the report to the police, the satisfaction with the police action, and the received assistance. All the interviewees were also asked to express themselves about their fear of crime, their satisfaction with the local police, their preventive attitude towards crime, how severely they would sentence a 21-year-old repeat burglar. Note that the questionnaire has evolved between successive surveys. After 1992, the survey was resumed twice at the international level and once at the Swiss level. In total, the following survey waves were completed: 1989 international survey (with Swiss participation) 1992 international survey (without Swiss participation) 1996 international survey (with Swiss participation) 1998 Swiss survey 2000 international survey (with Swiss participation) Coordonnée par le service de statistique du Ministère de la justice des Pays-Bas, cette recherche vise à obtenir dans divers pays des données comparables sur la criminalité. Comme la statistique officielle fournit des informations fortement dépendantes de l'organisation de la police et de la justice dans chaque pays, la voie choisie consiste à étudier l'incidence de la criminalité dans la population - le degré de victimisation de celle-ci - au moyen d'une enquête internationale auprès de la population. 14 pays ont participé à l'enquête de 1989: USA, Canada, Australie, France, Angleterre, Ecosse, Irlande du Nord, Espagne, République fédérale d'Allemagne, Suisse, Pays-Bas, Belgique, Norvège, Finlande, ainsi que deux villes, Varsovie (Pologne) et Surabaja (Indonésie). La Japon a pris part sur la base d'un questionnaire et d'un échantillonnage quelque peu modifiés. L'enquête a été reprise en 1992 dans les pays suivants: Angleterre, Pays-Bas, Belgique, Finlande, USA, Canada, Australie, auxquels sont venus s'ajouter la Suède, l'Italie, la Nouvelle Zélande, la Pologne, la République Tchèque, la Slovaquie, la Géorgie, l'Estonie, l'Indonésie et le Costa Rica. Par contre, l'Ecosse, l'Irlande du Nord, l'Allemagne, la Suisse, la France, la Norvège, l'Espagne et le Japon ont renoncé. Des villes sélectionnées dans les pays suivants ont également pris part: Argentine, Albanie, Inde, Afrique du Sud, Russie, Slovénie, Ouganda, Brésil, Philippines, Egypte, Tanzanie, Tunisie, Chine. Les crimes et délits suivants ont été pris en compte par l'enquête: le vol de voiture, motos, motocyclettes, vélomoteurs et bicyclettes, le vol par effraction, le brigandage, le vol simple et à la tire, les violences sexuelles, les coups et blessures, les menaces. Aux répondants victimes de tels crimes ont été posées quelques courtes questions sur le lieu du délit, les conséquences matérielles, la dénonciation à la police, la satisfaction quant à l'action de la police, l'assistance reçue. L’ensemble des interviewés avaient en outre à s'exprimer sur la peur du crime, la satisfaction vis-à-vis de la police locale, leur attitude préventive face au crime, la peine à laquelle ils condamneraient un cambrioleur récidiviste de 21 ans. A noter que le questionnaire a évolué entre les enquêtes successives. Après 1992, l'enquête a été reprise deux fois au niveau international et une fois au niveau suisse. En tout, les vagues de relevé de données suivantes ont été réalisées: 1989 relevé international (avec participation suisse) 1992 relevé international (sans participation suisse) 1996 relevé international (avec participation suisse) 1998 relevé suisse 2000 relevé international (avec participation suisse)