The IPUMS Approach to Harmonizing the World’s Population Census Data

2020 ◽  
pp. 495-511
Author(s):  
Matthew Sobek
Keyword(s):  
Census Data ◽  
Population Census

Generating population census data through aerial remote sensing

1994 ◽  
Vol 22 (3) ◽  
pp. 131-138 ◽  
Author(s):  
R. C. S. Taragi ◽  
K. S. Bisht ◽  
B. S. Sokhi
Keyword(s):  
Remote Sensing ◽  
Census Data ◽  
Population Census ◽  
Aerial Remote Sensing

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.

The State of Development in Villages of India: An Analysis of the 2011 Census Data

2018 ◽  
Vol 12 (3) ◽  
pp. 305-325 ◽  
Author(s):  
Aalok Ranjan Chaurasia
Keyword(s):  
Present Article ◽  
Small Proportion ◽  
Census Data ◽  
The State ◽  
Programming Approach ◽  
Population Census ◽  
Development Index ◽  
Village People ◽  
Development Approach ◽  
The Village

The present article uses data available through the 2011 population census to analyze the state of development in the villages of India on the basis of a village development index that has been constructed for the purpose following the capabilities expansion as development approach. The analysis reveals that the state of development in the villages of the country varies widely and there is only a small proportion of the villages where the state of development can be termed as satisfactory. The analysis also reveals that the state of development in the village is influenced by its selected defining characteristics. The article calls for a village-based planning and programming approach for meeting the development and welfare needs of the village people.

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.

scholarly journals Incidence of drug-treated chronic diseases using administrative pharmaceutical data

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Shaun Purkiss ◽  
Tessa Keegel ◽  
Hassan Vally ◽  
Dennis Wollersheim
Keyword(s):  
Chronic Disease ◽  
Chronic Diseases ◽  
Survey Data ◽  
Census Data ◽  
Respiratory Illness ◽  
Self Report ◽  
World Health ◽  
Population Census ◽  
Incidence Data ◽  
Anatomic Therapeutic Chemical

Background Pharmaceutical data can be used to identify the presence of drug-treated chronic diseases (CD) in individuals using assigned World Health Organization Anatomic Therapeutic Chemical (ATC) classifications of medicines prescribed. ATC codes define treatment domains and provides a method to case define CD that has previously been used to estimate CD prevalence within populations. Main Aim We determined selected CD incidence from an administrative pharmaceutical dataset, and compared them with published CD incidence results. Approach An Australian Pharmaceutical Benefits Scheme (PBS) database covering the period 2003-14 was used for this study. The earliest prescriptions exchanged by individuals for an ATC defined CD were identified and the annual count recorded. These values were combined with Australian population census data to calculate the annual incidence of ATC defined CD. Australian PBS derived incidence estimates (PDI) were compared with published Australian and world incidence data. Results The PDI of 16 chronic diseases were compared with incidence estimates using self-report surveys from the literature. Mean percentage differences between PDI estimates varied greatly when compared to survey data (mean 33% (SD ±79%). Diabetes (-29%), gout (4%), glaucoma (69%) and tuberculosis (14%) showed closer associations. In contrast, PDI estimates (n/1000/year) showed particularly high incidence levels as compared with self-report data for dyspepsia (16.9 v 4.5), dyslipidaemia (11.6 v 5.6) and respiratory illness (17.6 v 2.6). Conclusion Incidence estimates of drug treated chronic disease can be obtained using pharmaceutical data and may be a useful source for a number of conditions. Some PDI differ considerably from survey data. The interpretation of PDI requires context on how a particular CD presents. Accuracy and relevance are likely to depend upon how drug treatments relate to the initial management of the chronic disease.

scholarly journals Mendongkrak Volume Penjualan Produk UMKM Melalui Akun Organisasi E-Commerce

2019 ◽  
Vol 9 (2) ◽  
pp. 99-109
Author(s):  
Fauziyah Fauziyah ◽  
Muhammad Rijalus Sholihin
Keyword(s):  
Census Data ◽  
Small And Medium Enterprises ◽  
Product Variety ◽  
Population Census ◽  
Sales Volume ◽  
Economic Fundamentals ◽  
National Economic ◽  
Quantitative Descriptive ◽  
Medium Enterprises

Indonesia is a big country, based on the Population Census data released by the Central Statistics Agency (BPS), the number of inhabitants in 2018 is not less than 260 million. This figure will continue to grow each year, projected in 2035 the number reached more than 300 million inhabitants. The existence and role of MSMEs (Micro, Small and Medium Enterprises) in supporting national economic activity, especially in addressing the problems of poverty, unemployment, inequality between sectors, is very important and strategic. Therefore, a strengthening of the economy of small and medium priority towards the creation of a solid economic fundamentals. However, in realizing the great potential, SMEs still face many problems, both internally and externally. The purpose of this study was to determine the extent of product variety, posting and updating, as well as keywords affect the increase in sales volume either partially or simultaneously. The method used in this penelitiaan is quantitative descriptive. The results of this study indicate that the product variety, posting and updating, as well as keywords affect the increase in sales volume either partially or simultaneously.

Prevalence and Risk Factors for Hypertension in Adolescents Aged 12 to 17 Years: A School-Based Study in China

Hypertension ◽  
2021 ◽  
Author(s):  
Kai Liu ◽  
Chen Li ◽  
Haibin Gong ◽  
Ye Guo ◽  
Bingjie Hou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Pressure Measurement ◽  
Census Data ◽  
Blood Pressure Measurement ◽  
Population Based ◽  
Population Census ◽  
School Based ◽  
Hypertension Guidelines ◽  
Epidemiological Characteristics

Hypertension in adolescents has attracted increasing attention. However, large, well-designed studies accurately demonstrating epidemiological characteristics of adolescent hypertension remain insufficient. We, therefore, conducted a population-based multicenter study with repeated blood pressure visits to offer precise prevalence of it. We randomly recruited 42 025 adolescents aged 12 to 17 years in 6 centers throughout China from 2018 to 2019. The initial hypertension was estimated in all centers through one blood pressure measurement visit. Confirmed hypertension was evaluated in 3 blood pressure visits in 2 of 6 centers including 16 220 subjects. Hypertension was defined using American and Chinese guidelines and standardized by sex and age using 2010 China population census data. Standardized prevalence of initial and confirmed hypertension were 18.6% (95% CI, 17.3%–20.0%) and 5.9% (95% CI, 4.7%–7.2%) using 2017 American Association Pediatrics hypertension guidelines, respectively and which were 24.5% (95% CI, 23.0%–25.9%) and 8.8% (95% CI, 7.3%–10.3%) using 2018 Chinese hypertension guidelines. Male (odds ratio [OR], 1.275 [95% CI, 1.070–1.520]), parental hypertension history (OR, 1.387 [95% CI, 1.159–1.660]), higher heart rate (OR, 1.043 [95% CI, 1.037–1.049]), higher waist circumference (OR, 1.036 [95% CI, 1.027–1.046]), and adiposity indexes including overweight (OR, 2.211 [95% CI, 1.781–2.745]), and obesity (OR, 3.085 [95% CI, 2.330–4.084]) were identified as risk factors. In conclusion, the prevalence of hypertension was quite high evaluated by both guidelines with several risk factors, and a single blood pressure measurement visit leads to an overestimation of hypertension prevalence among adolescents.

Spatial analysis of child labour in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lokender Prashad ◽  
Mili Dutta ◽  
Bishnu Mohan Dash
Keyword(s):  
Spatial Analysis ◽  
Census Data ◽  
Hot Spot ◽  
Labour Force ◽  
Child Labour ◽  
District Level ◽  
School Level ◽  
Population Census ◽  
Content Type ◽  
Level Data

Purpose This study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children’s workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics. Design/methodology/approach The study has used ArcGIS software package, GeoDa software and local indicator of spatial association test. Findings The findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour. Research limitations/implications The study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers. Practical implications The promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Social implications The study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Originality/value The study is purely original and there are no such studies in Indian context by using the latest software.

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