scholarly journals Demographic Losses Due To Alcohol-Related Mortality in Lithuania: Results Obtained Through Combining Death Records with the 2011 Population Census Data

2014 ◽  
Vol 53 (1) ◽  
pp. 15-23
Author(s):  
Daumantas Stumbrys ◽  
Domantas Jasilionis ◽  
Dalia Ambrozaitienė ◽  
Vlada Stankūnienė
Keyword(s):  
Marital Status ◽  
Mortality Risk ◽  
Census Data ◽  
Population Data ◽  
Mortality Data ◽  
Population Census ◽  
The Republic ◽  
The Individual ◽  
Education Groups ◽  
Related Mortality

This paper presents the results of a study on sociodemographic mortality differentials in Lithuania based on censuslinked mortality data. Population data come from the individual records of the 2011 Population and Housing Census of the Republic of Lithuania. The results of the research demonstrate that education and marital status are very strong predictors of alcohol-related mortality. Among males aged 30 and older, the alcohol-related mortality risk in non-married groups is up to 3.4 times as high as in the group of married males. The alcohol-related mortality risk in lower-education groups is up to 3.7 times as high as in the group of those with higher education. The findings of the study suggest that the elimination of educational differences would allow avoiding 55.7 %, the elimination of marital status differences – 40.2 %, the elimination of ethnic group differences – 11.1 % of alcohol-related deaths.

PERANCANGAN APLIKASI SENSUS PENDUDUK PADA BADAN PUSAT STATISTIK KOTA MAKASSAR BERBASIS ANDROID

2021 ◽  
Vol 6 (1) ◽  
pp. 48
Author(s):  
Nurkhalik Wahdanial Asbara
Keyword(s):  
Data Collection ◽  
Census Data ◽  
Population Data ◽  
Accurate Information ◽  
Population Census ◽  
Male Population ◽  
Female Population ◽  
Technological Developments ◽  
The Government ◽  
Population Ratio

Technological developments and changes in government systems are developing rapidly. Both of these lead to efforts to carry out duties, protect functions and serve the community. This encourages the government to take various adjustment steps quickly in line with the dynamics of development that occur. One of them is through a population census. The population census is an important issue that must be handled properly. The population census in this study takes population data in an area based on the number of male population, female population, ratio, and population density. The data was taken and submitted to the Makassar City Statistics Agency. Population Census is a presentation of information that has the ability to present accurate information, and helps facilitate the search for a population census data. The population census is carried out every 5 years which is carried out by census officers to carry out data collection to each resident's house, the data collection process is carried out by conventional recording and submitting it to the central statistics agency for database entry. With this application, it is expected to provide convenience to Population census officers to perform the process of inputting population data and the data is directly stored in the database without having to return to the office to input again.

scholarly journals Social inequalities in heat-attributable mortality in the city of Turin, northwest of Italy: a time series analysis from 1982 to 2018

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Marta Ellena ◽  
Joan Ballester ◽  
Paola Mercogliano ◽  
Elisa Ferracin ◽  
Giuliana Barbato ◽  
...  
Keyword(s):  
Time Series ◽  
Marital Status ◽  
Mortality Risk ◽  
Educational Level ◽  
Social Inequalities ◽  
Attributable Mortality ◽  
Mortality Data ◽  
All Cause Mortality ◽  
Summer Temperatures ◽  
The City

Abstract Background Understanding context specific heat-health risks in urban areas is important, especially given anticipated severe increases in summer temperatures due to climate change effects. We investigate social inequalities in the association between daily temperatures and mortality in summer in the city of Turin for the period 1982–2018 among different social and demographic groups such as sex, age, educational level, marital status and household occupants. Methods Mortality data are represented by individual all-cause mortality counts for the summer months between 1982 and 2018. Socioeconomic level and daily mean temperature were assigned to each deceased. A time series Poisson regression with distributed lag non-linear models was fitted to capture the complex nonlinear dependency between daily mortality and temperature in summer. The mortality risk due to heat is represented by the Relative Risk (RR) at the 99th percentile of daily summer temperatures for each population subgroup. Results All-cause mortality risk is higher among women (1.88; 95% CI = 1.77, 2.00) and the elderly (2.13; 95% CI = 1.94, 2.33). With regard to education, the highest significant effects for men is observed among higher education levels (1.66; 95% CI = 1.38, 1.99), while risks for women is higher for the lower educational level (1.93; 95% CI = 1.79, 2.08). Results on marital status highlighted a stronger association for widower in men (1.66; 95% CI = 1.38, 2.00) and for separated and divorced in women (2.11; 95% CI = 1.51, 2.94). The risk ratio of household occupants reveals a stronger association for men who lived alone (1.61; 95% CI = 1.39, 1.86), while for women results are almost equivalent between alone and not alone groups. Conclusions The associations between heat and mortality is unequal across different aspects of social vulnerability, and, inter alia, factors influencing the population vulnerability to temperatures can be related to demographic, social, and economic aspects. A number of issues are identified and recommendations for the prioritisation of further research are provided. A better knowledge of these effect modifiers is needed to identify the axes of social inequality across the most vulnerable population sub-groups.

scholarly journals Natives and Migrants in the Population Structure of Russian and Bashkortostan

2021 ◽  
Vol 1 (2) ◽  
pp. 86-95
Author(s):  
Guldar F. Akhmetova
Keyword(s):  
Population Structure ◽  
Rural Areas ◽  
Rural Population ◽  
Census Data ◽  
Population Census ◽  
Migration Activity ◽  
Rural Migrants ◽  
Republic Of Bashkortostan ◽  
The Republic ◽  
Sociological Studies

Based on the data of the All-Russian population censuses of 2002 and 2010, as well as the micro-census of 2015, the author examines the dynamics of the structure of the urban and rural population of Russia and Bashkortostan in terms of the representation of two categories of residents – local natives living in a place of permanent residence without leaving, and migrants, that is, those who live in a place since a certain time or are a local native with migration experience. A comparative analysis of the population census data revealed the following trends in the migration mobility of the population of Russia and Bashkortostan in the first decade and a half of this century. The results of the 2002 census showed the dominance of “non-migrants” in the urban and rural population both in the whole country and in Bashkortostan. They were more represented in the republic than in Russia. The intensification of migration processes in the following years led to the reverse ratio of different categories of the population in 2010 – the predominance of migrants and a decrease in the proportion of local natives living without leaving. During this period, migration flows increased not only to cities, but also to rural areas, which also affected the higher representation of rural migrants. Five years later, the 2015 micro-census data brought the population structure closer to the situation in 2002 – the dominance of local natives, which to a certain extent indicates a decrease in the migration mobility of the population. However, the results of the micro-census could also be influenced by organizational and methodological reasons related to different approaches to accounting for the most mobile categories of the population. At the same time, the decline in migration activity of the population in the period between 2010 and 2015 is also indicated by the results of representative sociological studies both in the country as a whole and in the Republic of Bashkortostan. The general trend of changes in the population structure between 2002 and 2015 is characterized by a lower representation of migrants and a greater representation of local natives in Bashkortostan compared to Russia at the beginning of the period under review and the alignment of national and all-Russian indicators by 2015. To a certain extent, this may be due to the fact that the decline in migration mobility of the population in the republic was not as intense as in the whole country. The upcoming population census will provide an opportunity to get a more complete picture of the nature of changes in the genetic structure of the population over the past decade.

scholarly journals Advances in mapping population and demographic characteristics at small-area levels

2020 ◽  
Vol 49 (Supplement_1) ◽  
pp. i15-i25
Author(s):  
Daniela Fecht ◽  
Samantha Cockings ◽  
Susan Hodgson ◽  
Frédéric B Piel ◽  
David Martin ◽  
...  
Keyword(s):  
Big Data ◽  
Small Area ◽  
Census Data ◽  
Economic Status ◽  
Demographic Data ◽  
Population Data ◽  
Demographic Characteristics ◽  
Population Characteristics ◽  
Population Census ◽  
The Us

Abstract Temporally and spatially highly resolved information on population characteristics, including demographic profile (e.g. age and sex), ethnicity and socio-economic status (e.g. income, occupation, education), are essential for observational health studies at the small-area level. Time-relevant population data are critical as denominators for health statistics, analytics and epidemiology, to calculate rates or risks of disease. Demographic and socio-economic characteristics are key determinants of health and important confounders in the relationship between environmental contaminants and health. In many countries, census data have long been the source of small-area population denominators and confounder information. A strength of the traditional census model has been its careful design and high level of population coverage, allowing high-quality detailed data to be released for small areas periodically, e.g. every 10 years. The timeliness of data, however, becomes a challenge when temporally and spatially highly accurate annual (or even more frequent) data at high spatial resolution are needed, for example, for health surveillance and epidemiological studies. Additionally, the approach to collecting demographic population information is changing in the era of open and big data and may eventually evolve to using combinations of administrative and other data, supplemented by surveys. We discuss different approaches to address these challenges including (i) the US American Community Survey, a rolling sample of the US population census, (ii) the use of spatial analysis techniques to compile temporally and spatially high-resolution demographic data and (iii) the use of administrative and big data sources as proxies for demographic characteristics.

scholarly journals Primary malignant brain tumor-related mortality in the Belgrade population

2003 ◽  
Vol 60 (5) ◽  
pp. 565-568
Author(s):  
Tatjana Pekmezovic ◽  
Mirjana Jarebinski ◽  
Darija Kisic ◽  
Milen Pavlovic ◽  
Marina Nikitovic ◽  
...  
Keyword(s):  
Linear Trend ◽  
Population Data ◽  
Mortality Rates ◽  
Mortality Data ◽  
World Population ◽  
Age Group ◽  
Test Results ◽  
Female Population ◽  
Specific Mortality ◽  
Related Mortality

Background. The aim of this investigation was the analysis of primary malignant brain tumors (PMBT)-related mortality in the Belgrade population during the period 1983?2000. Methods. Mortality data (based on death records) for the period observed, as well as population data, were obtained from the unpublished material of the Municipal Institute of Statistics, Belgrade. The data analysis was adjusted to specific and standardized mortality rates and linear trend, using the world population as a standard. Regression coefficient was determined by Fisher?s test. Results. During the period 1983?2000, in the Belgrade population standardized mortality rates from PMBT were 6.29/100 000 (95%CI-confidence interval 5.33?7.24) for males, 4.50/100 000 (95%CI 3.84?5.17) for females, and 5.91/100 000 (95%CI 5.20?6.63) for total population. The age-specific mortality rates increased with age up to the age group 65?74, with the highest value of 21.21/100 000 (95%CI 16.03?26.39), and decreased in persons of 75 and more years of age. Conclusion. Mortality rates from PMBT in Belgrade had slightly increasing tendency in male (5.725+0.0592x, p=0.545), and decreasing tendency in female population (y=4.703-0.0213x, p=0.756), while statistically significant increasing mortality rate was registered only in the age group 65?74 (y=435+1.7707x, p=0.0001).

Antebellum Urbanization in the American Northeast

1965 ◽  
Vol 25 (4) ◽  
pp. 592-608 ◽  
Author(s):  
Jeffrey G. Williamson
Keyword(s):  
Economic History ◽  
Census Data ◽  
Growth Models ◽  
Empirical Studies ◽  
Population Data ◽  
Quantitative Information ◽  
City Size ◽  
Population Census ◽  
High Productivity ◽  
Sector Model

No one seriously questions the familiar association either between levels of urban development and degrees of industrial maturity or between rates of change in these two indices. It has even become commonplace in macroeconomic growth theory to simplify the complexities of structural change into some variation of the urban-rural two-sector model although, in the real world, shifts from commercial to industrial urban employment, let alone more complex intersectoral shifts, are of prime importance. Indeed, many of these growth models place great emphasis not upon changes in sector productivity but upon resource shifts between low- and high-productivity employment, while in empirical studies urban and rural population data very often appear as explicit substitutes for sectoral employment. But given the paucity of macroeconomic data for the antebellum period, especially prior to 1839, one is left puzzled by our relative inattention to the wealth of population census data by residence. American economic history textbooks are stuffed with quantitative information on the number of cities, their spectacular growth, and the percentage of population urbanized, but these may not be the most effective uses of this great data pool. The plethora of urban histories and the abundant attention to urban rivalry may be useful complements, but they are not very effective substitutes for quantitative analysis of overall American urbanization and experience with city size distribution. The very attention which the topic is currently receiving by economists, geographers, and historians suggests that much remains undone in the study of early American urbanization.

scholarly journals Social Inequalities in Heat-attributable Mortality in the City of Turin, Northwest of Italy: A Time Series Analysis From 1982 to 2018

2020 ◽  
Author(s):  
Marta Ellena ◽  
Joan Ballester ◽  
Paola Mercogliano ◽  
Elisa Ferracin ◽  
Giuliana Barbato ◽  
...  
Keyword(s):  
Time Series ◽  
Marital Status ◽  
Mortality Risk ◽  
Educational Level ◽  
Social Inequalities ◽  
Attributable Mortality ◽  
Mortality Data ◽  
All Cause Mortality ◽  
Summer Temperatures ◽  
The City

Abstract BackgroundUnderstanding context specific heat-health risks in urban areas is important, especially given anticipated severe increases in summer temperatures due to climate change effects. We investigate social inequalities in the association between daily temperatures and mortality in summer in the city of Turin for the period 1982-2018 among different social and demographic group such as sex, age, educational level, marital status and household occupants. Methods Mortality data are represented by individual all-cause mortality counts for the summer months between 1982 and 2018. Socioeconomic level and daily mean temperature were assigned to each deceased. A time series Poisson regression with distributed lag non-linear models was fitted to capture the complex nonlinear dependency between daily mortality and temperature in summer. The mortality risk due to heat was represented by the Relative Risk (RR) at the 99th percentile of daily summer temperatures for each population subgroup. Results All-cause mortality risk was higher among women (1.88; 95% CI= 1.77, 2.00) and the elderly (2.13; 95% CI=1.94, 2.33). With regard to education, the highest significant effects for men was observed among higher education levels (1.66; 1.38, 1.99), while risks for women were higher for the lower educational level (1.93; 1.79, 2.08). Results on marital status highlighted a stronger association for widower in men (1.66; 95%CI=1.38, 2.00) and for separated and divorced in women (2.11; 95%CI= 1.51, 2.94). The risk ratio of household occupants revealed a stronger association for men who lived alone (1.61; 95%CI=1.39, 1.86), while for women results are almost equivalent between alone and not alone groups. Conclusions The associations between heat and mortality were unequal across different aspects of social vulnerability, and, inter alia, factors influencing the population vulnerability to temperatures can be related to demographic, social, and economic aspects. A number of issues were identified and recommendations for the prioritisation of further research are provided.A better knowledge of these effect modifiers is needed to identify the axes of social inequality across the most vulnerable population sub-groups.

scholarly journals THE MUNICIPAL COMPREHENSIVE SCHOOL IN DAGESTAN IN THE 1920s-1990s

2017 ◽  
Vol 13 (4) ◽  
pp. 43-53
Author(s):  
M Ya Mirzabekov
Keyword(s):  
Census Data ◽  
Comprehensive School ◽  
Teaching Staff ◽  
Population Census ◽  
Power Structures ◽  
Regional Features ◽  
Comprehensive Schools ◽  
School Network ◽  
The Republic ◽  
Qualitative Changes

The article deals with the history and problems of the development of the municipal comprehensive school in Dagestan in the 1920s - 1990s. Basing on the analysis of various archival materials, statistical data, population census data, works of Dagestan historians on the problem under consideration, the author of the article reconstructs an objective scientific picture of the development of the municipal comprehensive school of the region for eight decades of last century. The article covers the school network expansion, quantitative and qualitative changes in the composition of the students in them. Much attention is paid to strengthening of the material and technical base, increasing the number and quality of teaching staff in municipal comprehensive schools of the republic. The author considers qualitative changes in the structure of municipal comprehensive schools of the republic, regularities and regional features of their development within the decades under study. The important problem, reflected in the article, is the introduction of universal primary, eight-year and secondary education of the rising generation in Dagestan towns. The author analyzes the reasons, economic and socio-cultural consequences of solving of socially significant tasks of universal education in towns and focuses on the great work of the power structures of the republic in this context. The article also covers the assistance of the federal center in the development of comprehensive schools in the region, including the municipal ones.

scholarly journals Standard multiple imputation of survey data didn’t perform better than simple substitution in enhancing an administrative dataset: the example of self-rated health in England

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Frank Popham ◽  
Elise Whitley ◽  
Oarabile Molaodi ◽  
Linsay Gray
Keyword(s):  
Multiple Imputation ◽  
Survey Data ◽  
Census Data ◽  
Household Survey ◽  
Population Data ◽  
Geographic Region ◽  
Housing Tenure ◽  
Population Census ◽  
Self Rated Health ◽  
Multiply Imputed

Abstract Background Health surveys provide a rich array of information but on relatively small numbers of individuals and evidence suggests that they are becoming less representative as response levels fall. Routinely collected administrative data offer more extensive population coverage but typically comprise fewer health topics. We explore whether data combination and multiple imputation of health variables from survey data is a simple and robust way of generating these variables in the general population. Methods We use the UK Integrated Household Survey and the English 2011 population census both of which included self-rated general health. Setting aside the census self-rated health data we multiply imputed self-rated health responses for the census using the survey data and compared these with the actual census results in 576 unique groups defined by age, sex, housing tenure and geographic region. Results Compared with original census data across the groups, multiply imputed proportions of bad or very bad self-rated health were not a markedly better fit than those simply derived from the survey proportions. Conclusion While multiple imputation may have the potential to augment population data with information from surveys, further testing and refinement is required.

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