Population estimates by neighbourhood for the City of Regina. The population is broken down into the following age goups: 0-14, 15-64 and 65+. SOURCE: Adapted from Statistics Canada, 2011 Census of Population. This does not constitute an endorsement by Statistics Canada of this product. Notes: Population estimates by neighbourhood are aggregates of population counts by Dissemination Area (DA) from the 2011 Census. Age information was not available for 4 DAs. Neighbourhood refers to Regina's Community Association (CA) boundaries.The Eastview and Warehouse areas have been combined. At this point figures for Harbour Landing are not available but these may be added in a future update. In some cases DAs do not align exactly with CA boundaries; where a DA crosses 2 CA boundaries, it has been assigned to the CA where the majority of its population is found.

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.

This table contains 13 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...).

This study represents a critical technical background document for the City of Regina that sets out the long-term vision for growth, development phasing and infrastructure needs over the next three decades.

This research project contributes to filling current gaps in fire data by undertaking primary research into incidence, circumstances and risk factors of careless cooking in the City of Regina, with a focus on high risk populations. Analyses of this data provides crucial information that point to effective educational programming to modify the unsafe careless cooking behaviours of the identified target groups. For further information please visit our City of Regina page at http://www.regina.ca/residents/fire-services/prevent-fires-burns/

By joining the German Zollverein (Customs Union) in 1834, the Kingdom of Württemberg committed itself to conduct a census in a fixed three-year rhythm according to uniform criteria and with a recording scheme that was as precise as possible. The data obtained in the process formed the basis for the distribution of the common revenues of the German Customs Union. The Kingdom of Wurttemberg conducted the first census as part of the Zollverein on 15 December 1834. The basis of the censuses was the ´resident´ population, which according to the contemporary definition included all people who were present in the place on the reference date. Residents who were currently absent due to a journey were also taken into account. Men and women who were in transit in the census municipality were not included. Until 1858, the ´local´ population, i.e. the population living permanently in the village, was also counted. The data material of the Zollverein and Reich statistics was collected on the basis of the Oberamtslisten, which have survived in handwritten form (Landesarchiv Baden-Württemberg, Staatsarchiv Ludwigsburg, Bestand E 258 VIII). The data is available at the municipal, Oberamts and district level. The figures reflect the territorial status valid at the time of the census as well as the contemporary administrative division. Four Excel tables are available for each census, in which the data for the municipalities and head offices of a district are summarised. A crossed-out place name indicates that the municipality in question belonged to another Oberamt at the time of the census. Municipalities that were newly assigned to a Oberamt between 1834 and 1925 are usually added at the end of the Oberamt list. Information on the change of office affiliation can be found in the comment field. An asterisk after a place name (name of the city or village) indicates such supplementary information. The comment field opens as soon as the cursor is placed on the field of the place (city or village) concerned. The primary researchers supplemented the data material with historical maps. The maps of the four Württemberg districts are taken from the publication: ´Das Königreich Württemberg´ (The Kingdom of Württemberg), which was published by the State Statistical Office in four volumes between 1904 and 1907.´ Explanation of symbols 0 = Less than half of 1 in the last filled position, but more than nothing- = Nothing present (exactly zero). = Numerical value unknown or to be kept secretx = Table compartment locked because statement does not make sense... = Statement to be made later/ = No statement, as the numerical value is not certain enough() = Statement value limited, as the numerical value may contain errors Discrepancies in the totals can be explained by rounding the numbers. Place names that have been crossed out indicate that the municipality in question belonged to a different Oberamt at the time of the census. * An asterisk after a place name indicates information about the records in the comment field.´ Publication: CD-ROM: »Königreich Württemberg« Volkszählungen 1834 bis 1925. Statistisches Landesamt Baden-Württemberg. Zu bestellen unter: https://www.statistik-bw.de/Service/Veroeff/Statistische_Daten/900208001.bsE-Mail: vertrieb@stala.bwl.de

Abstract: This study aimed to analyze the presence of basic sanitation services in households with children under five years of age located in urban areas of Brazil, with a focus on indigenous children. This cross-sectional study was based on data from the 2010 Population Census. We calculated the rates of households with running water (public system), sewage disposal (public system or septic tanks), and garbage collection (directly or via public dumpsters). Multiple logistic regression (MLR) models were used to estimate associations between color/race and presence of sanitation services, based on odds ratios (OR). The study considered Brazil’s urban metropolitan areas and stratified the results by major geographic region. Significance was set at 5%. The lowest frequencies were for sewage disposal, and all the rates were lower for indigenous people. MLR analyses included 29 comparisons (48.3%) in which households with indigenous children (compared to other color/race categories) were at a disadvantage, especially in the South of Brazil, where all comparisons were negative for indigenous households. Similar results appeared in metropolitan areas. The results thus suggest inequalities basic sanitation services based on color/race, where indigenous people are generally at a disadvantage, especially in the South of Brazil. Given the relationship between sanitation and health, as already demonstrated in the literature, these results can partly explain the low health levels in indigenous children in Brazil.

Pop Abbrev (Num) = abbreviation and population number (in parentheses) for each population as used in previous studies, Resistance type = classification of resistance in the population R >0.5 prop. survival S

Table Corrections:Correction date: On November 6, 2020, 30 Census Subdivision (CSD) member names within the Census Metropolitan Areas of Regina and Saskatoon (Saskatchewan), Edmonton and Lethbridge (Alberta), and Kelowna (British Columbia) were corrected. The data values were correct, but were assigned to the wrong CSD. The errors did not affect totals for higher-order tabulation geographies.The footnotes in the table are represented in brackets.Footnotes:1 Source: Statistics Canada, 2016 Census of Population.2 The Census subdivision (CSD) type accompanies the CSD name in order to distinguish CSD from each other. CSD types, their abbreviated forms, and their distribution by province and territory can be found in table 1.5 of the Census Dictionary (https://www12.statcan.gc.ca/census-recensement/2016/ref/dict/tab/t1_5-eng.cfm - Census subdivision types by province and territory)3 Source: GeoSuite, 2016 Census. Statistics Canada Catalogue no. 92-150-X4 For this variable, simple average is used at Census Subdivision (CSD) level of geography, and population-weighted average is used for all geographic levels above. Population-weighted density is the mean of the densities of subareas of a larger area weighted by the populations of those subareas. It is an alternative to the conventional density measure, total population divided by total area.5 Count of population living within 500 meters of public transit stop6 Source: Geo-located lists of bus stops provided directly by the municipalities or available on their Open Data website during fall 2019.7 The main method used to estimate the percentage of Canadians living within 500 meters of a public transport access point is as follows: a) The location of public transport stops of all kinds (bus, trolley, surface and underground rail) were accessed from city web-sites or acquired from local transit authorities. Almost complete coverage was obtained for the municipalities making up the 35 metropolitan cities. b) The public transit stop locations were incorporated within Statistics Canada’s geographic databases containing population counts for 2016 Census Dissemination Blocks. All Dissemination Blocks located within a 500 meter radius of a transit stop were selected, and summed for the municipality. A straight-line distance is sometimes not the most direct route, but it is consistently applied to facilitate comparison across cities. This approach will produce a slight over-estimate. c) In the final step, the population living within 500 meters is divided by the total population of the entire metropolitan city. The total population is used, as it provided a better indication of the true count of persons interacting socially and economically within the space of the metropolitan area, and thus potentially using public transportation.8 Percentage of population within the geographic unit living within 500 meters of a public transit stop9 Estimates derived from 25% sample households.10 Public transit includes bus, subway, elevated rail, light rail, streetcar, commuter train and passenger ferry.11 Active transport includes walking and cycling.12 "Commuting duration" refers to the length of time, in minutes, usually required by a person to travel between his or her place of residence and his or her place of work.

The average house price in Saskatchewan was about ******* Canadian dollars in 2024, and according to the forecast, is set to increase in the next two years. However, house price growth in the province is expected to be slower than the national average. In terms of home prices, Saskatchewan is one of the most affordable provinces for housing. Saskatchewan: key factsSaskatchewan is a province located between Alberta and Manitoba north of the Canada-United States border. In 2023, the population of Saskatchewan was over *** million, which placed it as the sixth most populous Canada province. However, the population has been on the rise since 2006, so this may change in the future. Future of the housing marketThe number of housing starts in the province has been falling since 2012, which suggests that either supply is outstripping demand or that it’s simply not profitable enough for property developers. Some real estate experts in the region believe that the falling price of oil is causing the housing market slowdown because there are fewer jobs in the region as a result. However, they expect that the market will pick up again in the near future.

Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2024.

This statistic shows the homicide rate in Canada in 2023, distinguished by metropolitan areas. In 2023, the homicide rate was highest in Thunder Bay, with 5.39 victims per 100,000 population. During the same year, the national homicide rate was 1.94 per 100,000 population in Canada.

Populations and number of individuals (N) included in the study.

Cracking was assessed in a laboratory based immersion assay (n = 3) using the cracking index [38, 39], the time to half maximum cracking (T50) or the percentage of fruit cracked at infinity (asymptote) using fruit from grafted trees. Cracking in the field was recorded in eight growing seasons following exposure to natural rain using the same genotypes as above but on their own roots. These data are taken from Quero-Garcia, Letourmy [33]. The number of replicates was 16 susceptible and 21 tolerant genotypes including the parent cultivars Regina and Garnet.

Major characteristics of study population, by group.