The infographic in question, entitled Population Estimates, Canada, 2015, provides a concise accurate snapshot of the most recent demographic trends in Canada, related to demographic growth and aging, at the national, provincial and territorial levels.

The data coming from the census 2010 - used to develop this publication of infographics on population characteristics on each of Indonesia’s thirty-three provinces. The book is the result of cooperation between with BNPB and BPS and the United Nations agencies UNOCHA, UNFPA, WFP, and UNDP. UNFPA provided technical assistance in the preparation of the basic population indicators such as sex ratio, population density, main livelihood, and levels of literacy. In addition, this book also displays information regarding dependency ratio, fertility rates, life expectancy, and infant mortality rates included in the Population Projection 2010-2035. The results can be seen in this link: http://reliefweb.int/report/indonesia/indonesia-province-infographic-book-27-nov-2014 The datasets can also accessible in here: http://dibi.bnpb.go.id/profil-wilayah/11/aceh

Community Change Snapshot

The infographic in question, entitled Population Estimates, Canada, 2015, provides a concise accurate snapshot of the most recent demographic trends in Canada, related to demographic growth and aging, at the national, provincial and territorial levels.

Infographics: City of Sherman

65% of the world’s population are visual learners. It makes sense, then, that businesses take advantage of visual content like infographics to hammer their marketing message home.

P.L. 94-171 Redistricting DataPublic Law (P.L.) 94-171, enacted by Congress in December 1975, requires the Census Bureau to provide states the opportunity to identify the small area geography for which they need data in order to conduct legislative redistricting. The law also requires the U.S. Census Bureau to furnish tabulations of population to each state, including for those small areas the states have identified, within one year of Census day.

Exploring COVID-19 impact on vulnerable populations using infographics (ArcGIS Blog).This blog shows how to explore vulnerable populations in the United States to help plan for the impact of the coronavirus using infographics._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

The numbering criterion is the same used in 56. ‘S’ stands for Static and ‘D’ for Dynamic according to the classification established in Table 1.

apportionments_pop_2021_pred_2024.xlsx This is a dataset containing prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules we used for calculation. Note: We recommend readers who are not so well informed about apportionment problems and rounding rules see https://www.census.gov/library/video/2021/what-is-apportionment.html or https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html.

Data interpretations for this dataset are as follows. 4 worksheets: all: prediction apportionment results of all configurations under the assumption that the membership remains unchanged and the total number of seats is between 705 (current total number of seats) and 750 (statutory threshold). no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. increase_no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. response: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats while any Member State with a decreasing population does not gain seats; (3) and the total number of seats is between 705 and 750. Meanings of column names: State: name of Member State of the European Union p_2011: population data from the 2011 census (data source: https://ec.europa.eu/eurostat/web/population-demography/population-housing-censuses/database) p_2021: population data from the 2021 census (data source: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_and_housing_census_2021_-_population_grids&stable=1#Distribution_of_European_population) stat_2020: current distribution of seats in the EP (data source: https://www.europarl.europa.eu/news/en/headlines/eu-affairs/20180126STO94114/infographic-how-many-seats-does-each-country-get-in-in-the-european-parliament) other columns: composed in the order of "a", "gamma", "d-rounding rule", and "the total number of seats (S)".

indexes_pop_2021_pred_2024.csv This is a dataset presenting the extent of the PSI-based inequality index (index based on Population Seat Index) and the conventional PSP-based index (index based on the proportion of seats to population) of all prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules used for calculation and the PSI-based index and PSP-based index used for evaluation. Data interpretations for this dataset are as follows. Meanings of column names: a: configuration of the standard function gamma: configuration of the standard function rounding: d-rounding rule used for obtaining a whole number S: the total number of seats in the prediction x_min: the minimum number of seats in the prediction apportionment x_max: the maximum number of seats in the prediction apportionment inequality index: maximum of PSI divided by minimum of PSI psp_max/psp_min: maximum of PSP divided by minimum of PSP

Users with the most appearances in the AC rows (in bold) are depicted in Fig. 8.

Division of the feature set introduced in 56 according to the type of information they contain.

Osteoporosis is a major public health concern in Canada and worldwide, and is common among older people and women. As Canada’s population ages, the prevalence of osteoporosis is predicted to increase. To learn more about the burden of osteoporosis, primary complications, bone health promotion strategies and the osteoporosis care gap in Canada, please visit the newly released infographic Osteoporosis and related fractures in Canada, 2021 from the Public Health Agency of Canada (PHAC). This infographic provides an update on key findings from PHAC’s 2020 report Osteoporosis and related fractures in Canada: Report from the Canadian Chronic Disease Surveillance System (CCDSS) 2020 using the most recent data available in the CCDSS.

Central Bureau of Statistics (CBS) was established in 1959 under Statistics Act, 2015 BS as the central agency for the collection, consolidation, processing, analysis, publication and dissemination of statistics. It is under the National Planning Commission Secretariat (NPCS) of Nepal and serves as a national statistical organization of Government of Nepal. It generates timely and reliable socio-economic statistics mainly through the operation of censuses and surveys. The main objective of setting up CBS is to avail data to NPCS and other Government agencies for the formulation of national plans, policies and also produces national account estimates to measure the economic growth of the country. It carries out different household surveys and censuses regularly to assess the socio- economic condition of the country. The major tasks, which CBS has been performing, are decennial population census, agriculture census and quinquennial manufacturing establishment census. In addition, many household surveys like living standard surveys, labor force surveys and multiple indicator surveillance are indispensable tasks, which CBS has been accomplishing. The role of the CBS is always decisive for the effective functioning of the national statistical system as a whole. It promotes collaborative research efforts among members of academic community, data producers and users. It has a prominent role in developing statistical system and maintaining statistical standard in the country. Statistics Act, 2079 came into effect on August, 2022. As the provision of the act, CBS has upgraded to the National Statistics Office (NSO). The National Statistics Office (NSO) is the central statistical organization of the country responsible for the production and dissemination of official statistics. Data Portal is a data visualization and analysis tool for Nepal, built to be used by all sectors of society. Create infographics, analyze and visualize the data you’re working with, and link directly to the source data.

Enrollment and test signatures used to compute the genuine scores in the template update experiments.

In November 2014, 3,674 Londoners took part in the first London Survey run by Talk London, to tell us what they thought of the city and their neighbourhood.

The London Survey enables us to:

• Assess Londoners’ priorities across the breadth of Mayoral responsibilities

• Understand Londoners’ perceptions of their quality of life

• Identify those areas that require improvement, or where we need to improve outcomes for particular groups of people.

TECHNICAL DETAILS

• Results are based on interviews with 3,674 London residents aged 18+.

• Interviews were carried out online via the Talk London community between 3 Oct and 5 Nov.

• Interviews were not randomly sampled, but self-selecting via a number of known databases. This achieved a non-representative sample of Londoners.

• The data has been weighted by age, gender and ethnicity to reflect that of the London population.

• A minimum number of responses were achieved for each key demographic group to maintain a robust sample.

• Where results do not sum to 100% this may be due to multiple responses, computer rounding or the exclusion of don’t knows/not stated.

• The qualitative analysis of the open-ended questions 36, 37 and 38 was undertaken by SPA Future Thinking. Top level themes and sub themes are reported as a percentage of the overall base number of respondents (3,421 to all three questions). The top three sub themes are presented where available.

• This is the first London Survey conducted by Talk London for City Hall.

INFOGRAPHICS

This is a dataset containing the population of each Member State from the 2011 and 2021 censuses held by Eurostat, and the current distribution of seats in the European Parliament (EP). The population data was downloaded from the official website of Eurostat (2011: https://ec.europa.eu/eurostat/web/population-demography/population-housing-censuses/database; 2021: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_and_housing_census_2021_-_population_grids&stable=1#Distribution_of_European_population). The seat data was obtained from the official website of the EP (https://www.europarl.europa.eu/news/en/headlines/eu-affairs/20180126STO94114/infographic-how-many-seats-does-each-country-get-in-in-the-european-parliament).