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1

Bournoutian, George. "The Population of the South Caucasus according to the 1897 General Census of the Russian Empire." Iran and the Caucasus 21, no. 3 (October 12, 2017): 324–40. http://dx.doi.org/10.1163/1573384x-20170307.

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2

Barter, Edmund, and Thilo Gross. "Manifold cities: social variables of urban areas in the UK." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2221 (January 2019): 20180615. http://dx.doi.org/10.1098/rspa.2018.0615.

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In the twenty-first century, ongoing rapid urbanization highlights the need to gain deeper insights into the social structure of cities. While work on this challenge can profit from abundant data sources, the complexity of this data itself proves to be a challenge. In this paper, we use diffusion maps, a manifold learning method, to discover hidden manifolds in the UK 2011 census dataset. The census key statistics and quick statistics report 1450 different statistical features for each census output area. Here, we focus primarily on the city of Bristol and the surrounding countryside, comprising 3490 of these output areas. Our analysis finds the main variables that span the census responses, highlighting that university student density and poverty are the most important explanatory variables of variation in census responses.
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3

Si youcef, K., I. Boukerch, I. Hocine, and A. Benabdelkader. "THE SETTING UP OF A GIS FOR THE GENERAL POPULATION AND HOUSING CENSUS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 313–19. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-313-2021.

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Abstract. The general census of population and housing is a statistical operation which consists in counting all the populations and all the dwellings of a given territory at a precise date which must produce data of interest to t users and this is the essential statistical purpose of their execution. Each operation executed during a census must have the goal of producing results that meet the needs of the users. The information collected in this way has several interests of the country. The census in Algeria is taken by the National Statistics Office (ONS) which is preparing its sixth General Census of Population and Housing (RGPH). The census is organized in four steps that are: Cartographic Preparation, Staff Training, Execution of the RGPH, and Exploitation.Algeria, in this year 2020 is in phase of preparation of the RGPH, this phase relates to the cartographic aspect and our contribution will relate to the elaboration of a geographic information system (GIS) This phase concerns the cartographic aspect and our contribution will focus on the development of a geographic information system (GIS) allowing the management of the first stage of the RGPH operation, the latter having a mainly cartographic aspect. The design and production of this BDG were made on the basis of the reflections resulting from a careful study of the manuals for this operation and interviews with the local managers of this. In this perspective, a bibliographical study was made to be inspired by the experiences of other countries, and to gain some insight into the techniques used in them.The tools offered by Open Source software represent an important alternative to find a solution to this problem. The information collected during this preparation phase is also important and is very useful for local actors to better understand the space and distribution of the population, which will allow a more rational management of resources.The objective of this paper is focus of the integration of spatial techniques in the census in Algeria while presenting the national office of statistics. An overview of census techniques in different countries is made to illustrate the know-how of this national office. The purpose of the general population census is to give the state a means that cannot be circumvented so that it can plan, among other things, the budget for the coming years according to the distribution of the population and its demographics.
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4

Gotway Crawford, Carol A. "Unlocking the Census with GIS." American Statistician 62, no. 4 (November 2008): 363. http://dx.doi.org/10.1198/tas.2008.s277.

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5

DeBats, Donald A. "Hide and Seek: The Historian and Nineteenth-Century Social Accounting." Social Science History 15, no. 4 (1991): 545–63. http://dx.doi.org/10.1017/s0145553200021295.

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The problem of census undercounts, a familiar political issue for modern groups or instrumentalities that consider themselves underrepresented in the Census Bureau statistics, has only recently attracted attention from historians. While the modern “miss rate” is potentially high among some groups (the reason for the emphasis on the homeless in the 1990 census), the general rate of underenumeration appears to have diminished in recent censuses. The bureau acknowledges a net undercount of 5.6% of the population in 1940; the error declined gradually to an estimated 1.4% in 1980 (Burnham 1986; Anderson 1988; Edmondson 1988).Nineteenth-century censuses no doubt contained more serious errors. Although he did not have underenumeration specifically in mind, the administrator for the 1870 census said that “the censuses of 1850, 1860, and of 1870 are loaded with bad statistics. There are statistics in the census of 1870,I am sorry to say, where some of the results are false to the extent of one-half. They had to be published then, because the law called for it; but I took the liberty of branding them as untrustworthy and in some cases giving the reasons therefore at some length” (quoted in Sharpless and Shortridge 1975: 411). Strikingly modern quarrels surrounded the accuracy of the 1840 Boston and New Orleans censuses, while the errors in the 1870 enumeration of New York City and Philadelphia were sufficient to cause recounts of both cities (ibid. ; Knights 1971: 145).
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6

Tranmer, M., and D. G. Steel. "Using Census Data to Investigate the Causes of the Ecological Fallacy." Environment and Planning A: Economy and Space 30, no. 5 (May 1998): 817–31. http://dx.doi.org/10.1068/a300817.

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The authors show how data from the 2% Sample of Anonymised Records (SAR) can be combined with data from the Small Area Statistics (SAS) database to investigate the causes of the ecological fallacy in an Enumeration District (ED) level analysis. A range of census variables are examined in three ‘SAR districts’ (local authority districts with populations of 120 000 or more, or combinations of contiguous districts with smaller populations) in England. Results of comparable analyses from the 1986 Australian census are also given. The ecological fallacy arises when results from an analysis based on area-level aggregate statistics are incorrectly assumed to apply at the individual level. In general the results are different because individuals in the same area tend to have similar characteristics: a phenomenon known as within-area homogeneity. A statistical model is presented which allows for within-area homogeneity. This model may be used to explain the effects of aggregation on variances, covariances, and correlations. A methodology is introduced which allows aggregate-level statistics to be adjusted by using individual-level information on those variables that explain much of the within-area homogeneity. This methodology appears to be effective in adjusting census data analyses, and the results suggest that the SAR is a valuable source of adjustment information for aggregate data analyses from census and other sources.
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7

UDJO, ERIC O. "A RE-EXAMINATION OF LEVELS AND DIFFERENTIAL IN FERTILITY IN SOUTH AFRICA FROM RECENT EVIDENCE." Journal of Biosocial Science 35, no. 3 (July 2003): 413–31. http://dx.doi.org/10.1017/s0021932003004139.

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The final estimate of South Africa's population as of October 1996 from the first post-apartheid census by Statistics South Africa was lower (40·6 million) than expected (42 million). The expectation of a total population of 42 million was largely based on results of apartheid projections of South Africa's population. The results of the last apartheid census in South Africa in 1991 had been adjusted such that it was consistent with results modelling the population size of South Africa. The discrepancy between the final estimate of the 1996 census and that expected from the modelling described above, and the departure by Statistics South Africa from previous practice of adjusting the census results to be consistent with demographic models, has generated controversies regarding the accuracy of the final results from the 1996 census. This study re-examines levels and differential in fertility in South Africa from recent evidence in order to assess whether or not the fertility inputs in projections of South Africa's population during the apartheid era overestimated fertility.
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8

Okolo, Abraham. "The Nigerian Census: Problems and Prospects." American Statistician 53, no. 4 (November 1999): 321. http://dx.doi.org/10.2307/2686050.

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9

Tadina, N. A., and T. S. Yabyshtaev. "On the role of statistical information in ethnographic research (based on the tribal structure of the Altaians)." Field studies in the Upper Ob, Irtysh and Altai (archeology, ethnography, oral history and museology) 17 (2022): 252–56. http://dx.doi.org/10.37386/2687-0584-2022-17-252-256.

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The article deals with the importance of conducting a tribal census of the Altaians for the ethnographic study of the modern tribal structure. The analysis of the first census of Altaians according to seoks (tribes), whose results were published by S. P. Shvetsov, the first statistician of Gorny Altai, is given. A brief history of the regional statistics formation, that marked its centenary in 2022 in the Republic of Altai, is also presented. The revived zaisanat presents the relevance of the Altaians’ tribal census in its decisions.
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10

Bryukhanova, E. A., M. V. Belorukov, and E. T. Nurmukhan. "Developing the Issue on the General Population Census in the Russian Empire in the 19th — Early 20th Century: A Historiographical Review." Izvestiya of Altai State University, no. 2(124) (June 6, 2022): 34–38. http://dx.doi.org/10.14258/izvasu(2022)2-05.

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The development of Russian and world statistics in the 19th century is of considerable interest for representatives of different sciences, such as historians, statisticians, demographers, etc. The attention of researchers to this period is due to incredibly rapid development of the theory, methodology and practice of statistical surveys, formation of statistics as a branch of public administration. Special attention was paid to the development of scientific methods of population accounting, in particular censuses, which was reflected in the publications of that time. The study of works reflecting the development of ideas about the all-social population accounting, in particular the formation of theses about "scientific", "correct" population censuses and the accumulation of experience in their conduct, seems relevant. The article presents a historiographical review of publications of different periods, which allows to identify the possible stages of development of the idea of the general population census and its implementation in the Russian Empire. The main methods of research are bibliographical and historiographical analysis, the sources for which are works in the field of history of statistics, demography, the census itself of the pre-revolutionary, Soviet and modern periods. Делается вывод о том, что генезис идеи научной переписи в России происходил в контексте развития зарубежной и отечественной статистики, а проведение Первой всеобщей переписи населения на всей территории Российской империи стало событием, оказавшим значительное влияние на дальнейшую историю науки.
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11

Green, Anne E. "Using Census and survey commuting statistics in local labour market analysis." Local Economy: The Journal of the Local Economy Policy Unit 10, no. 3 (November 1995): 259–73. http://dx.doi.org/10.1080/02690949508726287.

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Outline This paper describes the context for an interest in travel-to-work patterns by those concerned with labour market analysis and local economic development. The scope, coverage and content of Census of Population and local survey data on travel-to-work patterns are reviewed, and their strengths and weaknesses compared. Examples of the types of information which can be extracted from various sources are used to illustrate similarities and variations in travel-to-work patterns by population subgroup, and analyses on travel-to-work times and the geographical extent of job search areas derived from local labour force surveys are presented.
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12

Jasilionis, Domantas, Vlada Stankūnienė, Dalia Ambrozaitienė, and Olga Trofimova. "Linkages between Population Census and Demographic Statistics Data: Methodological Approaches and Research Opportunities." Lietuvos statistikos darbai 53, no. 1 (December 20, 2014): 5–14. http://dx.doi.org/10.15388/ljs.2014.13889.

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Unfavorable general demographic indicators are to a large extent predetermined by a demographic situation in some population groups. Therefore, in order to achieve a more sustainable demographic development at the country level and develop an adequate response from relevant population policies, it is necessary to measure the scale of demographic differentiation and identify population groups at risk. This requires reliable population-level data and innovative methods for measuring demographic differentials. The main aim of this work is to present advantages and capabilities of methodology for development of census-linked databases based on the linkages between census and demographic records. This study provides selected empirical examples and new scientific data on socio-economic and socio-demographic differences in mortality, first divorces, and births in Lithuania. These data can be further used for improving population policies in Lithuania and performing comparative analyses with other countries.
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13

Knezevic, Aleksandar, and Nevena Radic. "The census categorization of ethnic identity: Between theoretical comprehensions and statistical practice." Stanovnistvo 54, no. 2 (2016): 59–81. http://dx.doi.org/10.2298/stnv161122010k.

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Theoretical debates about ethnic identity during the second half of the 20th century did not just attract attention of academic circles, but they influenced creation of political discourse which determined public life in almost every multinational society, regardless the level of socio-economic development. In recent decades, many theories about ethnic identity have emerged, especially those about ethnicity as a relatively new concept, which caused a great deal of controversy that has been ongoing since the 1960s. Modern demography deals with problems of great social importance, especially when it comes to anthropological, social and political demography, whose results often take lead in the modern political debate. In that sense, a lot of theoretical approaches tried to emphasize the decline of importance of traditional elements of ethnic identity, even their disappearance in favor of supranational concepts, over the past more than half a century. However, in practice, the opposite processes are constantly repeating and the awareness of belonging to certain ethnic group, not only remained the important part of social life, but its significance rapidly grew in certain periods and societies. Ethnic and social pluralism of modern societies, together with massive migration flows, have initiated the review of sustainability, not only the traditional definitions of ethnic identity, but also the various supranational concepts which have mostly emerged from ethnic identification and legal nationality. The fear that ethno-cultural pluralism will have negative effects on ethno-demographic differentiation increased the need for quantitative researches of demographic characteristics of population towards ethnic marks, also for reviewing of methodological solutions of ethno-statistic evidence, starting from definitions, categorizations and statistic classification, as far as the ways of collecting and publishing the data. In that sense the censuses are considered as a base of ethno-demographic studies of French and Serbian population, in which different theoretical concepts of ethnic identity created two different approaches to ethno-statistic census process. In every Serbian census from the middle of the 19th century till today central topics were the questions about static ethno-cultural categories of religion and about mother tongue, while the question about ethnicity was asked in each and every census taken after Second World War. On the other hand, although it has the longest census tradition in Europe, the official ethno-statistic evidence of population in France has been for a long time determined by constant rejection of ethnic categorization and by the absence of questions about primary ethnic marks of population. Instead, the supranational concept of legal nationality has become the central spot while, as a feature of political integration of immigrants in a census, the question about state of birth starts to appear. The main dilemma regarding relations between prevailing theoretical concepts of ethnic identity and the official statistic practice based on Serbian and French models, still remains. Therefore, this paper shows two-way influence of ethno-statistic categorization and the real ethnic structure, and opens a discussion whether the ethnic identities have been defined by statistics or the ethnic identity is the one which defines the official statistics.
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Rechta, Henrik, Eliane Schwerer, and Christoph Waldner. "Family Generation Process from Administrative Data Sources and the Austrian Register-Based Census 2011." Austrian Journal of Statistics 43, no. 1 (April 15, 2014): 77–88. http://dx.doi.org/10.17713/ajs.v43i1.5.

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For the Austrian register-based census we developed techniques to generate family statistics from administrative data sources. The approach is based on data of relationships and how to handle them -- in general, in a fixed household and in an imputation process. Therefore, we merged algebraic, graph theoretical and statistical tools to get a general framework.
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15

van den Bersselaar, Dmitri. "Establishing the Facts: P. A. Talbot and the 1921 Census of Nigeria." History in Africa 31 (2004): 69–102. http://dx.doi.org/10.1017/s0361541300003405.

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Most historians writing about twentieth-century Africa have, at one time or other, used colonial statistical data. When we do this, we normally add a disclaimer, pointing out that these statistics are likely to be unreliable, and then proceed to use them anyway. But surely, we should be able to say something more definite about the reliability of these data? If we know more about the process by which these statistics were collected, for which aims, and with what preconceived ideas in mind, we should be able to establish, if not a margin of error, then at least some idea of which aspects of colonial statistics are more reliable than others. Furthermore, the process of colonial data-collecting was linked to establishing ethnic and other categories, which have since become generally accepted. This paper addresses these questions in an analysis of the context and contents of the published report of the 1921 Census of Southern Nigeria, and discusses its usefulness as a source for historians. The issues I discuss here with specific reference to this Nigerian census are characteristic for colonial censuses in general and should therefore be of relevance to all historians using colonial census data, and also—more generally—help us to understand how some of the most basic categories describing African societies have been constructed in the process of the acquisition of information by colonial governments.
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Zegar, Józef S. "Sustainability of agriculture in view of the agricultural censuses of 2010 and 2020." Wiadomości Statystyczne. The Polish Statistician 67, no. 6 (June 30, 2022): 52–64. http://dx.doi.org/10.5604/01.3001.0015.8818.

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Data provided by official statistics, including those obtained through agricultural censuses, can serve to analyse and assess the progress made in the sustainable development of agriculture, which is consistent with the objectives set out in policy documents and development strategies. In 2021, Statistics Poland published the first results of the 2020 Agricultural Census (2020 AC), comparable with the 2010 AC data, along with the tendencies of the development of agriculture in Poland observed in certain areas. The aim of the paper is to make a preliminary and selective assessment of the changes occurring in sustainable agriculture on the basis of the available agricultural census data. Furthermore, the study is meant to emphasise the need for Statistics Poland to collect and publish additional data allowing for a fuller illustration of the progress made in the area of agricultural sustainable development. The data provided by Statistics Poland enable a general assessment of the changes taking place in the agrarian structure, labour input, agricultural land use, agricultural technologies, industrial resources input, and specialisations and sources of maintenance of households with a user of an individual agricultural holding in the context of agricultural sustainability. However, a more comprehensive and complete evaluation requires Statistics Poland to take into account information from sources other than agricultural censuses in its further, post-census publications. Moreover, the aforementioned evaluation necessitates the establishment of new farm groupings according to sustainability indicators, the type of gmina (municipality), the used agricultural technologies and practices, labour input, farms’ market orientation and sources of support, the areas of different agricultural valorisation (LFA), the Natura 2000 areas, and others.
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Filippenko, Alexandra. "Demographic and political changes in the United States reflected in the census." Russia and America in the 21st Century, no. 2 (2022): 0. http://dx.doi.org/10.18254/s207054760019836-6.

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The census is not only a declaration of changes but also a predictor that provides a glimpse into the future. What makes the 2020 Census unique is that it not only helped us see the demographic picture in great detail, but the process itself reflected the state of the country. Obstructionist legal battles, the COVID-19 pandemic, and wildfires made organizing the 2020 Census the most challenging in U.S. history, but the results were crucial to understanding the nation's trajectory. The U.S. Constitution calls for the census to provide accurate population statistics to allocate budgets to the states and seats in the House of Representatives, and thus in the electoral college. Clearer and more accurate than any other study, the 2020 Census showed that despite the slow growth and aging of the white population, the country has become much more racially diverse (especially among young people), with demographic and age gaps amply offset by immigrants from Latin America and Asia.
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18

Zhong, Qi, Robert W. Proctor, Jeremiah Blocki, Ninghui Li, and Aiping Xiong. "Application of Differential Privacy to the 2020 U.S. Census and American Community Survey: Researchers’ Understanding and Reactions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 2072–76. http://dx.doi.org/10.1177/1071181322661313.

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The U.S. Census and the related American Community Survey (ACS) are used for studies of many types by researchers in a variety of domains. The U.S. Census Bureau discovered that the methods intended to preserve the privacy of individuals used for the 2010 survey were not adequate. Thus, a decision was made to apply differential privacy (DP) to the data from the 2020 Census. DP methods introduce noise into the data set with the intention of allowing the group statistics still to be useful, while protecting the individual data by way of random perturbation. Researchers expressed concern as to how much this application of DP will impact research. We report results of a survey conducted of researchers who published studies based on the 2010 U.S. Census data or the ACS data to assess their understanding of and concerns about DP.
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Jonker, Jan, Wouter Poot, and Peter Doorn. "Detailed Tables from the Dutch Census 1947: Experiences and Lessons Learned in Publishing a Large Dataset." Research Data Journal for the Humanities and Social Sciences 6, no. 1 (October 26, 2021): 1–16. http://dx.doi.org/10.1163/24523666-bja10018.

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Abstract Since the end of the nineties, Dutch census publications have been digitized and made available for digital processing. New analyses of the data were presented in some fruitful conferences in the first decade of this century. In addition to the census publications, a mass of detailed census data was found in dossiers and so-called “transparencies” in the archive of Statistics Netherlands. Most of that material was scanned into digital images, awaiting further content conversion into numeric data. In the present article, the authors describe the process of digitizing the detailed tables of the Dutch Population and Occupational Censuses held in 1947, which is the first set of detailed census data that is made available in a digitally processible form. They give an example of historical analyses made possible by this dataset. Moreover, they take these census data as an example of preparing and publishing a large dataset. Experiences and lessons learned in the process lead to ample opportunities for further analysis of the data and for efficient ways to accomplish the content conversion of the many remaining images of census data.
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Cantwell, Patrick J., Howard Hogan, and Kathleen M. Styles. "The Use of Statistical Methods in the U.S. Census." American Statistician 58, no. 3 (August 2004): 203–12. http://dx.doi.org/10.1198/000313004x1189.

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21

Kadane, Joseph B. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 12–17. http://dx.doi.org/10.1214/ss/1177013805.

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Ericksen, Eugene P. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 18–21. http://dx.doi.org/10.1214/ss/1177013806.

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Dempster, A. P. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 21–23. http://dx.doi.org/10.1214/ss/1177013807.

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Wolter, Kirk M. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 24–28. http://dx.doi.org/10.1214/ss/1177013808.

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Madansky, Albert. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 28–30. http://dx.doi.org/10.1214/ss/1177013809.

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Fellegi, I. P. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 30–33. http://dx.doi.org/10.1214/ss/1177013810.

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Moses, Lincoln E. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 33–34. http://dx.doi.org/10.1214/ss/1177013811.

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Nathan, Gad. "[Regression Models for Adjusting the 1980 Census]: Comment." Statistical Science 1, no. 1 (February 1986): 34–35. http://dx.doi.org/10.1214/ss/1177013812.

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Freedman, D. A., and W. C. Navidi. "[Regression Models for Adjusting the 1980 Census]: Rejoinder." Statistical Science 1, no. 1 (February 1986): 35–39. http://dx.doi.org/10.1214/ss/1177013813.

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Torrieri, Nancy K. "America is Changing, and So is the Census." American Statistician 61, no. 1 (February 2007): 16–21. http://dx.doi.org/10.1198/000313007x169037.

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Breiman, Leo. "The 1991 Census Adjustment: Undercount or Bad Data?" Statistical Science 9, no. 4 (November 1994): 458–75. http://dx.doi.org/10.1214/ss/1177010259.

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Freedman, D., and K. Wachter. "Heterogeneity and Census Adjustment for the Intercensal Base." Statistical Science 9, no. 4 (November 1994): 476–85. http://dx.doi.org/10.1214/ss/1177010260.

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Xin, Danhua, James Edward Daniell, Hing-Ho Tsang, and Friedemann Wenzel. "Residential building stock modelling for mainland China targeted for seismic risk assessment." Natural Hazards and Earth System Sciences 21, no. 10 (October 13, 2021): 3031–56. http://dx.doi.org/10.5194/nhess-21-3031-2021.

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Abstract. To enhance the estimation accuracy of economic loss and casualty in seismic risk assessment, a high-resolution building exposure model is necessary. Previous studies in developing global and regional building exposure models usually use coarse administrative-level (e.g. country or sub-country level) census data as model inputs, which cannot fully reflect the spatial heterogeneity of buildings in large countries like China. To develop a high-resolution residential building stock model for mainland China, this paper uses finer urbanity-level population and building-related statistics extracted from the records in the tabulation of the 2010 population census of the People's Republic of China (hereafter abbreviated as the “2010 census”). In the 2010 census records, for each province, the building-related statistics are categorized into three urbanity levels (urban, township, and rural). To disaggregate these statistics into high-resolution grid level, we need to determine the urbanity attributes of grids within each province. For this purpose, the geo-coded population density profile (with 1 km × 1 km resolution) developed in the 2015 Global Human Settlement Layer (GSHL) project is selected. Then for each province, the grids are assigned with urban, township, or rural attributes according to the population density in the 2015 GHSL profile. Next, the urbanity-level building-related statistics can be disaggregated into grids, and the 2015 GHSL population in each grid is used as the disaggregation weight. Based on the four structure types (steel and reinforced concrete, mixed, brick and wood, other) and five storey classes (1, 2–3, 4–6, 7–9, ≥10) of residential buildings classified in the 2010 census records, we reclassify the residential buildings into 17 building subtypes attached with both structure type and storey class and estimate their unit construction prices. Finally, we develop a geo-coded 1 km × 1 km resolution residential building exposure model for 31 provinces of mainland China. In each 1 km × 1 km grid, the floor areas of the 17 residential building subtypes and their replacement values are estimated. The model performance is evaluated to be satisfactory, and its practicability in seismic risk assessment is also confirmed. Limitations of the proposed model and directions for future improvement are discussed. The whole modelling process presented in this paper is fully reproducible, and all the modelled results are publicly accessible.
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Freedman, David A., and Kenneth W. Wachter. "Census adjustment: Statistical promise or illusion?" Society 39, no. 1 (November 2001): 26–33. http://dx.doi.org/10.1007/bf02712617.

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Martinez-Mosquera, Diana, and Sergio Luján-Mora. "Framework for Big Data integration in e-government." DYNA 86, no. 209 (April 1, 2019): 215–24. http://dx.doi.org/10.15446/dyna.v86n209.77902.

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This article describes researches regarding Big Data integration in e‑government decision‑making, for instance, in areas like solar energy provisioning, environmental protection, agricultural and natural resources exploitation, health and social care, education, housing and transportation management, among others. These studies refer to regions that have integrated Big Data in e‑government, where South America is still in the early adoption stages. Hence, this study proposes three steppingstones for Big Data integration in e‑government decision‑making, production, management and application. The proposed framework aims to be a reference in South America for Big Data adoption in e‑government and thus help to mitigate the technology delay regarding other regions. Finally, a case study with open data obtained from the Instituto Nacional de Estadística y Censos of Ecuador (Ecuadorian Statistics and Census Agency) is presented.
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36

Shamai, Shmuel, and Philip R. D. Corrigan. "Social Facts, Moral Regulation and Statistical Jurisdiction: A Critical Evaluation of Canadian Census Figures on Education." Canadian Journal of Higher Education 17, no. 2 (August 31, 1987): 37–58. http://dx.doi.org/10.47678/cjhe.v17i2.183014.

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After a brief general consideration of the census, state-formation and moral regulation, together with the use and abuse of this form of 'numbering the people', two major illustrative examples are provided which expose the problematic nature of seemingly objective censal data: illiteracy and ethnicity in the Canadian Censuses of 1921 and 1981 particularly. The bulk of the paper consists of an examination of the trends in ethnicity and gender in relation to varying measures of educational achievement in the Canadian Census 1921 through 1981. The summarised findings are that two of the three founding peoples' ('British' and 'French') are located in the middle range, whilst the third ('Native peoples') is located at the bottom; all other ethnic groups are more polarised. This is a consistent pattern across the sixty years surveyed, although it is often (in popular and academic writing) treated as a 'new phenomenon'. With regard to gender, the paper qualifies the popular myth that the education system is now less gender ascriptive than it was previously: wherever females have been better than males, the males have tended to close the gap or even reverse the situation; wherever males have been better than females, the gap has closed slowly, if at all. This confirms the recent study by Pineo and Goyder, based on the 1981 census alone, that "the Canadian educational system acts more ascriptively upon women than on men." For all the problems of Census data, the article argues that it can be used to discern aggregate trends over time which qualify many contemporary myths.
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Wilson, Tom, Frank Zou, and Thomas Sigler. "Were there really 1 million unoccupied dwellings in Australia on census night 2021?" Australian Population Studies 6, no. 2 (December 17, 2022): 14–26. http://dx.doi.org/10.37970/aps.v6i2.106.

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Background The 2021 Census in Australia revealed that just over 1 million dwellings were ‘unoccupied’ on census night. This finding was widely reported and may have given the impression of a large number of vacant dwellings ready for households to move into, potentially offering a solution to homelessness and those struggling to find suitable or affordable accommodation. Aims The aim of the paper is to investigate whether there really were 1 million unoccupied dwellings in Australia in 2021, to shed some conceptual and empirical light on exactly what is meant by an ‘occupied’ and an ‘unoccupied’ dwelling, and also try to understand why dwellings were unoccupied. Data and methods We used a variety of census, population, and dwelling data to estimate the number of private dwellings disaggregated by occupancy on both a de facto basis (whether people were present in dwelling on census night or not) and on a usual residence basis (whether people are usually resident in a dwelling or not). A comparison with the situation at the time of the 2016 Census is made. Results The results show that there were indeed about 1 million dwellings unoccupied on a usual residence basis in Australia in 2021. But they were not the exact same 1 million unoccupied on census night, and not all of these dwellings were available to households to live in. There was a substantial increase in the number of dwellings unoccupied by usual residents between 2016 and 2021; we suggest some possible reasons for this, including Covid-related effects. Conclusions Greater clarity and more detail are needed in census dwelling data. In addition, it would be useful if there were detailed annual official statistics on dwellings and households to better inform housing policy and research.
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Rogozhnikova, T. P., and M. V. Khomenko. "THE NAME-LIST OF THE 1701 CENSUS BOOK OF THE TARA REGION: COMPOSITION, VARIABILITY, STATISTICS." Review of Omsk State Pedagogical University. Humanitarian research, no. 32 (2021): 94–99. http://dx.doi.org/10.36809/2309-9380-2021-32-94-99.

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The material for the study is a historical regional source of a fiscal nature. The system of personal names is considered as an obligatory component of the naming of Siberian taxpayers at the turn of the 17th–18th centuries. The system of male and female names of the Census Book is revealed. The phonetic, grammatical, and derivational variability of modified and unmodified names is characterized. The frequency of personal nominations is determined.
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39

Gorbachev, Oleg V. "Materials of the 1959 All-Union Population Census as a Source on the History of Urban Family." Herald of an archivist, no. 1 (2022): 121–36. http://dx.doi.org/10.28995/2073-0101-2022-1-121-136.

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Using census materials for studying social history of Russia in the 20th century has serious restrictions determined by the census form and by selective publication of the obtained results. Using census forms themselves, fragmentary preserved in local archives, partially solves this problem. The researcher has to turn to the census materials for studying some topics, which are not directly reflected in the census forms, due to limited social statistics on the Soviet society. The article is to clarify the possibility of using primary materials of the 1959 census, stored in the fond of the Regional Statistical Office from the State Archive of the Sverdlovsk Region, alongside with the published data, for studying urban family in Sverdlovsk. The study of the Russian urban family in the second half of the 20th century is important for assessing the consequences of demographic transition of the 1930s – 1980s and the degree of population structure deformation following the Great Patriotic War. Studying the Ural family is significant, as urbanization processes in the region during the said period proceeded extremely intensively. To systematize the information on the census forms, a database “Family of the city of Sverdlovsk, 1959” has been created, combining principles of individual and family registration. The database includes information from 1,200 forms for the Oktyabrsky district. Nearly 17 000 apartment census forms for other urban settlements of the region fall outside the scope of this analysis. Comparison with published data proves that the sample is representative in its most significant indicators. Significant deviations are recorded in the social composition of the population, reflecting specifics of a central district of a large city (dominance of employees, significant number of single-parent families, presumably recent migrants). Among other things, it has been established that most commonly families consisted of two and three persons; in a significant number of cases, the households were headed by young women. The obtained information permits to characterize the Sverdlovsk urban family in terms of the so-called second demographic transition, which significantly influenced family size, distribution of intra-familial roles, and strategies of matrimonial behavior. Given the undoubted scientific value of the primary census materials, discovery of other similar documentary complexes in the Russian archives should be an important direction of research.
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Žíla, Ondřej. "Successful returns of Bosnian refugees to their homes: statistics versus reality." Geografie 114, no. 2 (2009): 89–104. http://dx.doi.org/10.37040/geografie2009114020089.

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The contemporary ethnic and demographic situation remains essentially affected by the process of the so-called forced migration caused by the war conflict in the 1990’s. The aim of this study is to analyse interpretation of success rate of Bosnian refugees repatriation on the basis of an analysis of component statistical materials issued by international organizations and local authorities and its comparison with the reality using in-field investigation. This method (comparing of statistic data and reality) can help as the only possible way (because of absence of any statistical census – the last one was carried out in 1991 before the disintegration of the Yugoslavia Federation) to give more general characteristics of the current ethno-demographic situation of Bosnia and Herzegovina and to evaluate the rate of the so-called minority return.
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41

Ehrl, Philipp. "Minimum comparable areas for the period 1872-2010: an aggregation of Brazilian municipalities." Estudos Econômicos (São Paulo) 47, no. 1 (March 2017): 215–29. http://dx.doi.org/10.1590/0101-416147182phe.

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Abstract Since the imperial era, the number of municipalities in Brazil has risen continually and substantially. These changes in the delineation of spatial units pose a difficulty for any research that intends to use regional data from different years. The present paper develops a routine for the generation of time-consistent 'Minimum Comparable Areas' (AMC) for any arbitrary sub-period between two census years in the range between the first and last demographic census 1872-2010. It relies on recently compiled material by the Brazilian Institute for Geography and Statistics (IBGE). The corresponding Stata code is provided in the Appendix of the paper. Thus, the developed AMCs are immediately accessible and enable long-term panel studies with regional data.
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Nurmadhani, Nadya, and Faisol Faisol. "PENERAPAN MODEL PERTUMBUHAN LOGISTIK DALAM MEMPROYEKSIKAN JUMLAH PENDUDUK DI KABUPATEN SUMENEP." Jurnal Edukasi dan Sains Matematika (JES-MAT) 8, no. 2 (September 30, 2022): 145–56. http://dx.doi.org/10.25134/jes-mat.v8i2.5436.

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Population projection is not a population forecast but a scientific calculation based on assumptions of the components of the population growth rate, namely births, deaths and migration. These three components determine the size of the population and the age structure of the population in the future. In order to determine the assumptions of future developmental levels of births, deaths and displacement, data are needed that describe trends from the past to the present. Here the author will determine the projected population growth in Sumenep Regency on Madura Island using a logistic growth model. The population census of Sumenep Regency was obtained from the BPS (Central Statistics Agency) of Sumenep Regency from 2010 to 2020. Based on the results of the study, it was obtained that the Craying capacity was 1,141,132.5. The author can conclude that the model that is closest to the actual census value is called the best model by looking for the MAPE value of each model to find out the census value that is closest to the true value and here the logistical model 9 is the most accurate compared to other models, with a value of and produces the equation and based on model 9, the writer looks for the population census in 2040 with the value of resulted in 1,127,590.627 people.
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43

Rivaroli, Sergio, Rino Ghelfi, Aldo Bertazzoli, and Annette Piorr. "Diversification pathways and farming systems: Insights from the Emilia-Romagna region, Italy." Outlook on Agriculture 46, no. 4 (November 14, 2017): 239–47. http://dx.doi.org/10.1177/0030727017741701.

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The study analyzes and explains on-farm diversification in Emilia-Romagna, a productive and agriculturally intensified region in Italy. The purpose was to contribute to knowledge gaps on the adoption of different diversification strategies in relation to farming system. Based on farm-level census data gathered by the Italian National Institute of Statistics during the sixth general agricultural census, two on-farm diversification pathways were investigated: deepening and broadening. The farmer’s decision to diversify activities and the identification of diversification pathways were analyzed using logit and multinomial logit models. The results show that arable farms adopt broadening strategies, intensive farms opt for deepening ones, and specialized adopters of quality schemes combine both strategies. Furthermore, in contrast to the existing research, the study highlights that intensive farms are more likely than arable farms to diversify. Finally, the findings provide insights to improve analyses in the context of policy and regional strategic support.
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44

Or, Olivia Oi Yan. "Implementation of online questionnaires in the General Household Survey in Hong Kong." Statistical Journal of the IAOS 36, no. 4 (November 25, 2020): 987–95. http://dx.doi.org/10.3233/sji-200746.

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The General Household Survey (GHS) of Hong Kong is a monthly household survey on labour force characteristics and household income. Traditionally, data collection was conducted via face-to-face interviews through field visits and computer-assisted telephone interviews (CATI). In July 2017, the Census and Statistics Department (C&SD) introduced an online questionnaire (OQ) in the GHS to enhance its services to survey respondents. Considering the importance of GHS statistics, the tight monthly survey cycle and the complexities involved in adding a new data collection mode, a phase-by-phase approach was adopted with close monitoring of data quality of the survey estimates. With satisfactory trial results, the OQ was fully implemented in the GHS in January 2019. Being a convenient and privacy-assured channel, the OQ helps entice sampled households to respond to the GHS and increases the contact rate of those households who are more difficult to reach by the conventional data collection methods. During COVID-19 when face-to-face interviews had to be adjourned, the OQ provided a powerful channel for data collection. With targeted messages appealing for response by OQ sent to sampled households in a more proactive manner, the take-up rate of the OQ increased by as much as 10 percentage points, partly compensating the loss due to the suspension of field visits such that monthly labour force statistics could continue to be published during the epidemic. The paper was prepared under the kind mentorship of Ms Lisa Bersales, former Chief Statistician of the Philippines.
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Santos-Lozada, Alexis R. "Changes in Census Data Will Affect Our Understanding of Infant Health." Socius: Sociological Research for a Dynamic World 7 (January 2021): 237802312110236. http://dx.doi.org/10.1177/23780231211023642.

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Descriptions of the effect of the implementation of a new disclosure avoidance system (DAS), which relies on differential privacy, emphasize the impact of our understanding of contemporary social and health dynamics. However, focusing on overall population may obscure important changes in subpopulation indicators such as age-specific rates resulting from this implementation. The author provides a visualization that compares infant mortality rates calculated using 2009–2011 county-level average death counts and denominators derived from the traditional and proposed DASs. Death counts come from the National Center for Health Statistics and denominators come from the first U.S. Census Bureau demonstration products. These visualizations indicate that infant mortality rates produced using the proposed DAS are different from those produced using the traditional methods, with higher variation observed for nonmetropolitan counties and areas with smaller populations. These findings suggest that the proposed DAS will hinder our ability to understand contemporary health dynamics in the United States.
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46

Putri, Nelly Prima. "PENGARUH PENDAPATAN ASLI DAERAH DAN DANA ALOKASI UMUM TERHADAP BELANJA DAERAH PADA KABUPATEN DAN KOTA DI PROVINSI SUMATERA BARAT." Ensiklopedia Sosial Review 3, no. 3 (November 8, 2021): 289–98. http://dx.doi.org/10.33559/esr.v3i2.820.

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This research aimed to examine the effect of Local Revenue and General Allocation Fund to the Regional Expenditure. Independent variable used are Local Revenue and General Allocation Fund, while the dependent variable is Regional Expenditure. The collected data was analyzed using a statistical model of multiple linear regression analysis by using the data obtained from Government Finance Statistics of West Sumatera in 2011 to 2013. In selecting the sample, using census technique and give off 57 sample consist of 12 districts and 7 cities. The result indicate that Local Revenue had significantly influence the Regional Expenditure. The General Allocation Fund had significant effect on Regional Expenditure. Local Revenue together with General Allocation Fund also significantly influenced the Regional Expenditure.
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47

Chojecki, Dariusz. "Evolution of Prussian censuses in the years 1840–1910: methodology, scope, importance and problems." Wiadomości Statystyczne. The Polish Statistician 67, no. 5 (May 31, 2022): 43–90. http://dx.doi.org/10.5604/01.3001.0015.8537.

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The censuses carried out by the Royal Prussian Statistical Office in Berlin are of particular importance for the historical research of the 19th century population in Prussia, including the lands largely inhabited by people who spoke Polish or Kashubian. Nevertheless, these censuses were not discussed in greater detail. Attention was mainly focused on the reliability of the censuses organised until 1840, and subsequently on matters related to the statistics of the mother tongue. The aim of the article is to show the evolution of the method of census taking, data processing, features implementation and the presentation of the results in the years 1840–1910, with particular emphasis placed on the census of 1871 and its reception among the society, mainly on the Polish lands under German rule. The research is largely based on the monumental Preussische Statistik (Statistics of Prussia), which contains the census documentation and comments provided by provincial authorities. Moreover, normative sources and older studies were used in the study. The article proves that censuses in general evolved until 1871, and then only the studied content featured changes which were discussed and assessed. A revolution in data management was brought by the use of A cards in 1871, which made it easier to perform complex statistical groupings for selected demographic characteristics. The implementation of new solutions was accompanied by the introduction of the principle of self-enumeration. It encountered obstacles, however, especially in the eastern provinces of Prussia, which is primarily associated with the level of education and the knowledge of the German language among the population, mainly its Polish-speaking members. The results presented in the article should prove useful to historical demographers, and social and economic historians.
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Alfariz, Angga Fajar Sukma. "2020 Population Census Data Recording in Indonesia: Flexible, Effective and Efficient Software Development (Case Study: Population Recapitulation Data Recording)." DoubleClick: Journal of Computer and Information Technology 4, no. 2 (January 31, 2021): 97. http://dx.doi.org/10.25273/doubleclick.v4i2.7869.

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<p align="center"><strong>Abstract</strong></p>The 2020 Population Census is a big agenda for the Central Statistics Agency. Implementing a Census with a very wide working area and a very large number of officers has its own challenges. The schedule of these activities was carried out when Covid-19 made the burden heavier. These challenges are not only felt in the field, but also during processing. A quick population recapitulation calculation, which is by implementing the Covid-19 protocol, demands that organizers adapt quickly. The current system is considered to have weaknesses that make processing less effective. In this study, a system was developed to assist the population census processing in the population recapitulation data recording section. This system will take advantage of various available technologies, such as Bootstrap, PostgreSQL, PHP and Codeigniter. Utilization of this technology is expected to increase effectiveness and efficiency in problem solving. The system development method applied is the Agile Model Personal eXtreme Programming Method. The system can quickly accept changes and can be adapted quickly by officers. With this system, the recording of population recapitulation data, especially in West Kalimantan Province, can run effectively.
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Sartore, Luca, Kelly Toppin, Linda Young, and Clifford Spiegelman. "Developing Integer Calibration Weights for Census of Agriculture." Journal of Agricultural, Biological and Environmental Statistics 24, no. 1 (November 12, 2018): 26–48. http://dx.doi.org/10.1007/s13253-018-00340-4.

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50

Ulhaq, M. D., and A. Wahid. "System Dynamics Modeling for Demographic Bonus Projection In Indonesia." IOP Conference Series: Earth and Environmental Science 1039, no. 1 (September 1, 2022): 012031. http://dx.doi.org/10.1088/1755-1315/1039/1/012031.

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Abstract Statistics Indonesia has released the result of the 2020 census. The outcome of the 2020 census is principal as it becomes the basic data for the latest projection of Indonesia’s population. This research about the population projection using system dynamic is conducted to know the population proportion and demographic bonus. The researchers use system dynamics modeling to project Indonesia’s demographic bonus. This modeling is conducted by projecting Indonesia’s population based on three age groups: young (0-14 years old), adult (15-39 years old), middle-aged (40-64 years old), and old (65+ years old). The projection using system dynamics modeling shows that in 2025, we have a better result than the previous year. In 2025, it is predicted that the working-age population has the highest percentage, which is 69.38%, and the dependency ratio will be at its lowest percentage, which is 44.13%. Therefore, the peak of demographic bonus is projected to happen in 2025.
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