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Estimating Small Area Population Density Using Survey Data and Satellite Imagery : An Application to Sri Lanka
Authors: --- ---
Year: 2019 Publisher: Washington, D.C. : The World Bank,

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Country-level census data are typically collected once every 10 years. However, conflict, migration, urbanization, and natural disasters can cause rapid shifts in local population patterns. This study uses Sri Lankan data to demonstrate the feasibility of a bottom-up method that combines household survey data with contemporaneous satellite imagery to track frequent changes in local population density. A Poisson regression model based on indicators derived from satellite data, selected using the least absolute shrinkage and selection operator, accurately predicts village-level population density. The model is estimated in villages sampled in the 2012/13 Household Income and Expenditure Survey to obtain out-of-sample density predictions in the nonsurveyed villages. The predictions approximate the 2012 census density well and are more accurate than other bottom-up studies based on lower-resolution satellite data. The predictions are also more accurate than most publicly available population products, which rely on areal interpolation of census data to redistribute population at the local level. The accuracies are similar when estimated using a random forest model, and when density estimates are expressed in terms of population counts. The collective evidence suggests that combining surveys with satellite data is a cost-effective method to track local population changes at more frequent intervals.


Book
A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames : A Case Study in Somalia
Authors: --- --- --- --- --- et al.
Year: 2019 Publisher: Washington, D.C. : The World Bank,

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Enumeration areas are the operational geographic units for the collection, dissemination, and analysis of census data and are often used as a national sampling frame for various types of surveys. Traditionally, enumeration areas are created by manually digitizing small geographic units on high-resolution satellite imagery or physically walking the boundaries of units, both of which are highly time, cost, and labor intensive. In addition, creating enumeration areas requires considering the size of the population and area within each unit. This is an optimization problem that can best be solved by a computer. This paper, for the first time, produces an automatic designation of predefined census enumeration areas based on high-resolution gridded population and settlement data sets and using publicly available natural and administrative boundaries. This automated approach is compared with manually digitized enumeration areas that were created in urban areas in Mogadishu and Hargeisa for the United Nations Population Estimation Survey for Somalia in 2014. The automatically generated enumeration areas are consistent with standard enumeration areas, including having identifiable boundaries to field teams on the ground, and appropriate sizing and population for coverage by an enumerator. Furthermore, the automated urban enumeration areas have no gaps. The paper extends this work to rural Somalia, for which no records exist of previous enumeration area demarcations. This work shows the time, labor, and cost-saving value of automated enumeration area delineation and points to the potential for broadly available tools that are suitable for low-income and data-poor settings but applicable to potentially wider contexts.


Book
Making sense of the census : observations of the 2001 enumeration in remote Aboriginal Australia
Authors: --- --- ---
ISBN: 9781920942021 1920942025 1920942025 0975122940 Year: 2002 Publisher: Canberra, Australia : ANU E Press,

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Explores some of the problems, successes and policy issues related to the application of the Indigenous Enumeration Strategy in the enumeration of Aboriginal people in remote parts of Australia.


Book
Microdata Collection and Openness in the Middle East and North Africa (MENA) : Introducing the MENA Microdata Access Indicator
Authors: ---
Year: 2021 Publisher: Washington, D.C. : The World Bank,

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This paper uses a "mystery client" approach and visits the websites of national statistical offices and international microdata libraries to assess whether foundational microdata sets for countries in the Middle East and North Africa region are collected, up to date, and made available to researchers. The focus is on population and economic censuses, price data and consumption, labor, health, and establishment surveys. Following the exercise, a new microdata access indicator that measures the degree of opennes of microdata and the ease with which microdata users can understand and navigate the websites of national statistical offices is presented. The results show that about half of the expected core data sets are being collected and that only a fraction is made available publicly. As a consequence, many summary statistics, including national accounts and welfare estimates, are outdated and of limited relevance to decision makers. Additional investments in microdata collection and publication of the data once collected are strongly advised. National statistical offices in the region should make considerable improvements to the outlook of their websites to make them more user friendly. Specifically, microdata libraries and updated survey calendars should be a standard feature of the websites to ensure easy access to available microdata.


Book
Is Low Coverage of Modern Infrastructure Services in African Cities Due To Lack of Demand Or Lack of Supply?
Authors: --- --- ---
Year: 2009 Publisher: Washington, D.C., The World Bank,

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A majority of sub-Saharan Africa's population is not connected to electricity and piped water networks, and even in urban areas coverage is low. Lack of network coverage may be due to demand or supply-side factors. Some households may live in areas where access to piped water and electricity is feasible, but may not be able to pay for those services. Other households may be able to afford the services, but may live too far from the electric line or water pipe to have a choice to be connected to it. Given that the policy options for dealing with demand as opposed to supply-side issues are fairly different, it is important to try to measure the contributions of both types of factors in preventing better coverage of infrastructure services in the population. This paper shows how this can be done empirically using household survey data and provides results on the magnitude of both types of factors in explaining the coverage deficit of piped water and electricity services in urban areas for a large sample of African countries.


Book
Is Low Coverage of Modern Infrastructure Services in African Cities Due To Lack of Demand Or Lack of Supply?
Authors: --- --- ---
Year: 2009 Publisher: Washington, D.C., The World Bank,

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A majority of sub-Saharan Africa's population is not connected to electricity and piped water networks, and even in urban areas coverage is low. Lack of network coverage may be due to demand or supply-side factors. Some households may live in areas where access to piped water and electricity is feasible, but may not be able to pay for those services. Other households may be able to afford the services, but may live too far from the electric line or water pipe to have a choice to be connected to it. Given that the policy options for dealing with demand as opposed to supply-side issues are fairly different, it is important to try to measure the contributions of both types of factors in preventing better coverage of infrastructure services in the population. This paper shows how this can be done empirically using household survey data and provides results on the magnitude of both types of factors in explaining the coverage deficit of piped water and electricity services in urban areas for a large sample of African countries.


Book
The great demographic illusion : majority, minority, and the expanding American mainstream
Author:
ISBN: 0691202117 Year: 2020 Publisher: Princeton : Princeton University Press,


Book
Research Guide to the Russian and Soviet Censuses
Author:
ISBN: 1501707159 1501707086 0801418380 9780801418389 9781501707087 1501707078 Year: 1986 Publisher: Cornell University Press

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Taken together, the Russian census of 1897 and the Soviet censuses of 1926, 1959, 1970, and 1979 constitute the largest collection of empirical data available on that country, but until the publication of this book in 1986, the daunting complexity of that material prevented Western scholars from exploiting the censuses fully. This book is both a guide and a detailed index to these censuses. The first part of the book consists of eight essays by specialist on the USSR, six of them dealing with the use of census materials and the availability of data for research on ethnicity and language, marriage and the family, education and literacy, migration and organization, age structure, and occupations. The second part, a comprehensive index for all the published censuses, presents more than six hundred annotated entries for the census tables, a keyword index that enables researchers to find census data by subject, and a list of political-administrative units covered in each census.

Keywords

Census --- Study and teaching. --- Soviet Union --- History --- Census of population --- Population --- Statistics --- Government questionnaires --- Household surveys --- Советский Союз --- Ber. ha-M. --- Zwia̦zek Socjalistycznych Republik Radzieckich --- Szovjetunió --- TSRS --- Tarybų Socialistinių Respublikų Sąjunga --- SRSR --- Soi︠u︡z Radi︠a︡nsʹkykh Sot︠s︡ialistychnykh Respublik --- SSSR --- Soi︠u︡z Sovetskikh Sot︠s︡ialisticheskikh Respublik --- UdSSR --- Shūravī --- Ittiḥād-i Jamāhīr-i Ishtirākīyah-i Shūrāʼīyah --- Russia (1923- U.S.S.R.) --- Sovetskiy Soyuz --- Soyuz SSR --- Sovetskiĭ Soi︠u︡z --- Soi︠u︡z SSR --- Uni Sovjet --- Union of Soviet Socialist Republics --- USSR --- SSṚM --- Sovetakan Sotsʻialistakan Ṛespublikaneri Miutʻyun --- SSHM --- Sovetakan Sotsʻialistakan Hanrapetutʻyunneri Miutʻyun --- URSS --- Unión de Repúblicas Socialistas Soviéticas --- Berit ha-Moʻatsot --- Rusyah --- Ittiḥād al-Sūfiyītī --- Rusiyah --- Rusland --- Soṿet-Rusland --- Uni Soviet --- Union soviétique --- Zȯvlȯlt Kholboot Uls --- Związek Radziecki --- ESSD --- Sahaphāp Sōwīat --- KhSHM --- SSR Kavširi --- Russland --- SNTL --- PSRS --- Su-lien --- Sobhieṭ Ẏuniẏana --- FSSR --- Unione Sovietica --- Ittiḥād-i Shūravī --- Soviyat Yūniyan --- Russian S.F.S.R. --- Związek Socjalistycznych Republik Radzieckich --- ZSRR --- Związek Socjalistycznych Republik Sowieckich --- ZSRS --- HISTORY / Russia & the Former Soviet Union. --- HISTORY / Europe / General. --- census data --- data compatibility --- migration --- Russian censuses --- urbanization --- National Council for Soviet and East European Research --- Russia --- demographics


Periodical
Australian social trends.
Author:
ISSN: 22004866 Year: 1994 Publisher: Canberra : Australian Bureau of Statistics,

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Keywords

Social indicators --- Sociale ontwikkeling. --- Sociale indicatoren. --- Social conditions --- Social indicators. --- Periodicals. --- Australia --- Australia. --- Demography. --- Social Conditions. --- Vital Statistics. --- Indicators, Social --- Registration of Vital Statistics --- Registration, Vital Statistics --- Statistics, Vital --- Vital Statistics Registration --- Registrations, Vital Statistics --- Vital Statistics Registrations --- Accounting, Demographic --- Analyses, Demographic --- Analyses, Multiregional --- Analysis, Period --- Brass Technic --- Brass Technique --- Demographers --- Demographic Accounting --- Demographic Analysis --- Demographic Factor --- Demographic Factors --- Demographic Impact --- Demographic Impacts --- Demographic Survey --- Demographic Surveys --- Demographic and Health Surveys --- Demographics --- Demography, Historical --- Demography, Prehistoric --- Factor, Demographic --- Factors, Demographic --- Family Reconstitution --- Historical Demography --- Impact, Demographic --- Impacts, Demographic --- Multiregional Analysis --- Period Analysis --- Population Spatial Distribution --- Prehistoric Demography --- Reverse Survival Method --- Stable Population Method --- Survey, Demographic --- Surveys, Demographic --- Population Distribution --- Analyses, Period --- Analysis, Demographic --- Analysis, Multiregional --- Demographer --- Demographic Analyses --- Demographies, Historical --- Demographies, Prehistoric --- Distribution, Population --- Distribution, Population Spatial --- Distributions, Population --- Distributions, Population Spatial --- Family Reconstitutions --- Historical Demographies --- Method, Reverse Survival --- Method, Stable Population --- Methods, Reverse Survival --- Methods, Stable Population --- Multiregional Analyses --- Period Analyses --- Population Distributions --- Population Methods, Stable --- Population Spatial Distributions --- Prehistoric Demographies --- Reconstitution, Family --- Reconstitutions, Family --- Reverse Survival Methods --- Spatial Distribution, Population --- Spatial Distributions, Population --- Stable Population Methods --- Technic, Brass --- Technique, Brass --- Ahitereiria --- Aostralia --- Ástralía --- ʻAukekulelia --- Austraalia --- Austraalia Ühendus --- Australian Government --- Australie --- Australien --- Australiese Gemenebes --- Aŭstralii︠a︡ --- Australija --- Austrālijas Savienība --- Australijos Sandrauga --- Aŭstralio --- Australské společenství --- Ausztrál Államszövetség --- Ausztrália --- Avstralii︠a︡ --- Avstraliĭski sŭi︠u︡z --- Avstraliĭskiĭ Soi︠u︡z --- Avstraliĭskii︠a︡t sŭi︠u︡z --- Avstralija --- Awstralia --- Awstralja --- Awstralya --- Aystralia --- Commonwealth of Australia --- Cymanwlad Awstralia --- Državna zaednica Avstralija --- Government of Australia --- Ḳehiliyat Osṭralyah --- Koinopoliteia tēs Aystralias --- Komanwel Australia --- Komonveltot na Avstralija --- Komonwelt sa Awstralya --- Komunaĵo de Aŭstralio --- Komunejo de Aŭstralio --- Kūmunwālth al-Usturālī --- Mancomunidad de Australia --- Mancomunitat d'Austràlia --- Negara Persemakmuran Australia --- New Holland --- Nova Hollandia --- Osṭralyah --- Persemakmuran Australia --- Samveldið Ástralía --- Usṭralyah --- Usturāliyā --- Whakaminenga o Ahitereiria --- Canton and Enderbury Islands --- Christmas Island --- Christmas Island (Australia) --- أستراليا --- كومنولث الأسترالي --- Аўстралія --- Австралийски съюз --- Австралийският съюз --- Αυστραλία --- Κοινοπολιτεία της Αυστραλίας --- אוסטרליה --- קהיליית אוסטרליה --- Австралија --- Комонвелтот на Австралија --- Државна заедница Австралија --- Австралия --- Австралийский Союз --- オーストラリア --- Ōsutoraria --- Quality of life --- Social history --- Economic indicators --- Social accounting --- Social prediction --- Aŭstralii͡ --- Australské společenstv --- Avstralii͡ --- Avstraliĭski sŭi͡uz --- Avstraliĭskiĭ Soi͡uz --- Avstraliĭskii͡at sŭi͡uz --- Kūmunwālth al-Usturāl --- Usturāliy --- Demography - Census data. --- Demography - Population dynamics. --- Demography - Fertility. --- Demography - Family and household characteristics. --- Health. --- Health status - Child health - Infants. --- Education - Schools - Attendance. --- Employment. --- Housing. --- Crime. --- Sport. --- Demography --- Social change --- Socioeconomic Factors --- statistics. --- statistics --- Australian Bureau of Statistics --- Factors, Socioeconomic --- High-Income Population --- Inequalities --- Land Tenure --- Standard of Living --- Factor, Socioeconomic --- High Income Population --- High-Income Populations --- Inequality --- Living Standard --- Living Standards --- Population, High-Income --- Populations, High-Income --- Socioeconomic Factor --- Tenure, Land --- Economics --- Modernization --- Social Development --- Social Impact --- Change, Social --- Changes, Social --- Development, Social --- Developments, Social --- Impact, Social --- Impacts, Social --- Social Changes --- Social Developments --- Social Impacts --- Group Processes --- Австралийски съюз --- Австралийският съюз --- Австралийский Союз --- Social Inequalities --- Social Inequality --- Inequalities, Social --- Inequality, Social --- Demographic --- Demographic and Health Survey --- Health status --- Education --- Census data. --- Population dynamics. --- Fertility. --- Family and household characteristics. --- Child health --- Infants. --- Schools --- Attendance. --- Social Change --- Economic and Social Factors --- Social and Economic Factors --- Socioeconomic Characteristics --- Characteristic, Socioeconomic --- Socioeconomic Characteristic --- Social conditions.


Periodical
Year book Australia
Author:
ISSN: 22005579 08108633 Year: 1977 Publisher: Canberra Australian Bureau of Statistics

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Keywords

Statistics. --- Australia --- Australia. --- Australie --- Ahitereiria --- Aostralia --- Ástralía --- ʻAukekulelia --- Austraalia --- Austraalia Ühendus --- Australian Government --- Australien --- Australiese Gemenebes --- Aŭstralii︠a︡ --- Australija --- Austrālijas Savienība --- Australijos Sandrauga --- Aŭstralio --- Australské společenství --- Ausztrál Államszövetség --- Ausztrália --- Avstralii︠a︡ --- Avstraliĭski sŭi︠u︡z --- Avstraliĭskiĭ Soi︠u︡z --- Avstraliĭskii︠a︡t sŭi︠u︡z --- Avstralija --- Awstralia --- Awstralja --- Awstralya --- Aystralia --- Commonwealth of Australia --- Cymanwlad Awstralia --- Državna zaednica Avstralija --- Government of Australia --- Ḳehiliyat Osṭralyah --- Koinopoliteia tēs Aystralias --- Komanwel Australia --- Komonveltot na Avstralija --- Komonwelt sa Awstralya --- Komunaĵo de Aŭstralio --- Komunejo de Aŭstralio --- Kūmunwālth al-Usturālī --- Mancomunidad de Australia --- Mancomunitat d'Austràlia --- Negara Persemakmuran Australia --- New Holland --- Nova Hollandia --- Osṭralyah --- Persemakmuran Australia --- Samveldið Ástralía --- Usṭralyah --- Usturāliyā --- Whakaminenga o Ahitereiria --- Canton and Enderbury Islands --- Christmas Island --- Christmas Island (Australia) --- أستراليا --- كومنولث الأسترالي --- Аўстралія --- Австралийски съюз --- Австралийският съюз --- Αυστραλία --- Κοινοπολιτεία της Αυστραλίας --- אוסטרליה --- קהיליית אוסטרליה --- Австралија --- Комонвелтот на Австралија --- Државна заедница Австралија --- Австралия --- Австралийский Союз --- オーストラリア --- Ōsutoraria --- Aŭstralii͡ --- Australské společenstv --- Avstralii͡ --- Avstraliĭski sŭi͡uz --- Avstraliĭskiĭ Soi͡uz --- Avstraliĭskii͡at sŭi͡uz --- Kūmunwālth al-Usturāl --- Usturāliy --- Demography - Population dynamics. --- Demography - Population forecasts. --- Demography - Census data. --- Government policy. --- Law enforcement - Criminal law and procedure. --- Attitudes. --- Economics - Income. --- Economics - Income - Poverty and low income. --- Education. --- Employment - Unemployment. --- Environment. --- Health - Physiology and diseases. --- Health status - Longevity / Life expectancy. --- Housing. --- Housing - Home ownership. --- Indigenous peoples. --- Libraries - Reference materials - Yearbooks. --- Social identity - Aboriginality. --- Statistiques --- Périodiques. --- Австралийски съюз --- Австралийският съюз --- Австралийский Союз

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