Listing 1 - 10 of 10 |
Sort by
|
Choose an application
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.
Census Data --- Health, Nutrition and Population --- Household Surveys --- Machine Learning --- Migration and Development --- Population Density --- Poverty Reduction --- Satellite Imagery
Choose an application
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.
Census Data --- Country Population Profiles --- Demographics --- Enumeration Area --- Health, Nutrition and Population --- Population Density --- Poverty Lines --- Poverty Reduction --- Remote Sensing --- Sampling Frame --- Science and Technology Development --- Technology Innovation
Choose an application
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.
Aboriginal Australians. --- Aboriginals, Australian --- Aborigines, Australian --- Australian aboriginal people --- Australian aboriginals --- Australian aborigines --- Australians, Aboriginal --- Australians, Native (Aboriginal Australians) --- Native Australians (Aboriginal Australians) --- Ethnology --- Indigenous peoples --- Demography - Census data.
Choose an application
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.
Census Data --- Consumer Survey --- Data Openness --- Data Transparency --- Demographic and Health Survey --- E-Government --- Governance --- Household Survey --- ICT Data and Statistics --- ICT Policy and Strategies --- Inequality --- Information and Communication Technologies --- Living Standards --- Living Standards Measurement Survey --- Microdata --- National Statistical Office --- Official Statistics --- Poverty Estimate --- Poverty Lines --- Poverty Reduction --- Statistical Indicators
Choose an application
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.
Access to Markets --- Area --- Assets --- Bills --- Capacity constraints --- Census data --- Communities and Human Settlements --- Connection charges --- Consumers --- Currencies and Exchange Rates --- Deficits --- Development policy --- Distribution of wealth --- Economic Theory and Research --- Finance and Financial Sector Development --- Geographical Information Systems --- Households --- Housing and Human Habitats --- Information and Communication Technologies --- International Economics and Trade --- Macroeconomics and Economic Growth --- Quality of service --- Scatter plot --- Scatter plots --- Supply side --- Supply-side --- Town Water Supply and Sanitation --- Urban areas --- Water networks --- Water Supply and Sanitation --- Wealth --- Weights
Choose an application
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.
Access to Markets --- Area --- Assets --- Bills --- Capacity constraints --- Census data --- Communities and Human Settlements --- Connection charges --- Consumers --- Currencies and Exchange Rates --- Deficits --- Development policy --- Distribution of wealth --- Economic Theory and Research --- Finance and Financial Sector Development --- Geographical Information Systems --- Households --- Housing and Human Habitats --- Information and Communication Technologies --- International Economics and Trade --- Macroeconomics and Economic Growth --- Quality of service --- Scatter plot --- Scatter plots --- Supply side --- Supply-side --- Town Water Supply and Sanitation --- Urban areas --- Water networks --- Water Supply and Sanitation --- Wealth --- Weights
Choose an application
"A book that examines the growing population of mixed minority-white backgrounds and society"--
Ethnic groups --- Racially mixed people --- Minorities --- Majorities. --- United States --- Population --- History --- African Americans. --- American Indians. --- Asian Americans. --- Asians. --- Eric Kaufmann. --- Hispanics. --- Latinos. --- Native Americans. --- The Diversity Explosion. --- U.S Census. --- Whiteshift. --- William Frey. --- assimilation mainstream. --- assimilation. --- census data. --- demographic predictions. --- demography. --- ethno-racial. --- ethno-racially mixed. --- immigrant-group assimilation. --- majority-minority society. --- mass assimilation. --- minority groups. --- minority-white Americans. --- mixed ancestry. --- mixed families. --- mixed family backgrounds. --- mixed parentage. --- non-zero-sum assimilation. --- non-zero-sum mobility. --- population projections. --- racial demographics. --- racism. --- white ethnics. --- white majority. --- whiteness theory.
Choose an application
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.
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
Choose an application
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.
Choose an application
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
Listing 1 - 10 of 10 |
Sort by
|