scholarly journals Report on a Census Enumeration

1962 ◽  
Vol 2 (4) ◽  
pp. 377-405
Author(s):  
Karol J. Krotki ◽  
Sultan S. Hashmi
Keyword(s):  
Population Growth ◽  
Questionnaire Design ◽  
Population Census ◽  
Demographic Research ◽  
Census Enumeration ◽  
Analysis Of Results ◽  
Variable Population ◽  
Source Of Information

The enumeration conducted for the purposes of the Second Population Census of Pakistan, 1961 was carried out, with some minor exceptions', between January 12,1961 and January 31,1961. An earlier housing census provi¬ded a frame for the population census. The housing census was carried out, depending on the area of the country, some two or three months before the population census. This note is concerned solely with the observations made during the field enumeration conducted for the purposes of the popula¬tion census. It discusses no aspects of the housing census unless immediately relevant to the observations carried out. It is further limited in as much as it discusses practically no aspects of pre-enumeration preparations including problems of questionnaire design, and not at all the question of analysis of results. The taking of a decennial population census is a big event in the life of a nation under any circumstances. It is particularly important when it is a second census, which, apart from the interest, in its own findings, will also enhance the value of the first census due to the inter-censal comparisons which can be made. Furthermore, it is of outstanding importance in the circumstances of an economy with sights fixed far and high on the horizon of better future, but the hopes of which can be fulfilled or broken by the size of this one variable: population growth. Its results are likely to provide the main source of information for demographic research in the next decade. It was not possible to consult with the census authorities on the carrying out of an independent post-enumeration check2. In the circumstances the some¬what unusual alternative of observing the enumeration by the two of us was decided upon.

Clustering Bathymetric Data for Electronic Navigational Charts

2016 ◽  
Vol 69 (5) ◽  
pp. 1143-1153 ◽  
Author(s):  
Marta Wlodarczyk–Sielicka ◽  
Andrzej Stateczny
Keyword(s):  
Clustering Algorithm ◽  
Search Algorithm ◽  
Clustering Algorithms ◽  
Data Set ◽  
Bathymetric Data ◽  
Large Sets ◽  
Analysis Of Results ◽  
Comparison And Analysis ◽  
Self Organising Map ◽  
Source Of Information

An electronic navigational chart is a major source of information for the navigator. The component that contributes most significantly to the safety of navigation on water is the information on the depth of an area. For the purposes of this article, the authors use data obtained by the interferometric sonar GeoSwath Plus. The data were collected in the area of the Port of Szczecin. The samples constitute large sets of data. Data reduction is a procedure to reduce the size of a data set to make it easier and more effective to analyse. The main objective of the authors is the compilation of a new reduction algorithm for bathymetric data. The clustering of data is the first part of the search algorithm. The next step consists of generalisation of bathymetric data. This article presents a comparison and analysis of results of clustering bathymetric data using the following selected methods:K-means clustering algorithm, traditional hierarchical clustering algorithms and self-organising map (using artificial neural networks).

scholarly journals Urban Change Detection and Population Prediction Modeling Using Multitemporal Landsat TM Images

2021 ◽  
Author(s):  
Hongmei Zhao
Keyword(s):  
Land Cover ◽  
Population Growth ◽  
City Planning ◽  
Census Data ◽  
Urban Expansion ◽  
Population Census ◽  
Prediction Modeling ◽  
Average Growth ◽  
The City ◽  
Population Prediction

Urban environments belong to the most dynamic system on the earth's surface. Urban areas contain nearly half of the world's population. Understanding the growth and change brought on by urbanization is critical for urban planning, environmental studies, and resource management. This study is an attempt to present a satellite-based approach to modelling urban population growth from multitemporal and multispectral Landsat image data. The focus is placed on two aspects: detection of urban land cover changes and population prediction modeling associated with the urban expansion. The study consists of an experimental set-up to generate the land cover maps and to recognize the vegetation-impervious surface-soil (V-I-S) patterns followed by integrating population census data and remote sensing data at the city planning district level. This is done in conjunction with geographic information systems (GIS) in order to model population growth from 1996 to 2001 in the City of Mississauga, Ontario. The main findings of this research show that a total of 81.6 km² of built-up areas have been added with Mississauga's boundaries between 1985 and 2002. This accounts for 25.5% of the total area of Mississauga at the expense of non-built and water covered areas. The results show an increase of 6.5% in built-up areas in the last three years (1999-2002), which results in an average growth rate of 7 km²/year. The previous 14 years (1985-1999) have shown an increase of 19.0% in development, which equals 4.3 km²/year. The investigation also shows that a linear equation adequately describes the relationship between the population counts and the built-up area, or "C-442" area, of V-I-S components.

scholarly journals Linking Synthetic Populations to Household Geolocations: A Demonstration in Namibia

Data ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 30 ◽  
Author(s):  
Dana Thomson ◽  
Lieke Kools ◽  
Warren Jochem
Keyword(s):  
Household Survey ◽  
Population Census ◽  
Primary Sampling Unit ◽  
Middle Income ◽  
Demographic Research ◽  
Synthetic Populations ◽  
Population Variable ◽  
Enumeration Area ◽  
Synthetic Population ◽  
Survey Sample

Whether evaluating gridded population dataset estimates (e.g., WorldPop, LandScan) or household survey sample designs, a population census linked to residential locations are needed. Geolocated census microdata data, however, are almost never available and are thus best simulated. In this paper, we simulate a close-to-reality population of individuals nested in households geolocated to realistic building locations. Using the R simPop package and ArcGIS, multiple realizations of a geolocated synthetic population are derived from the Namibia 2011 census 20% microdata sample, Namibia census enumeration area boundaries, Namibia 2013 Demographic and Health Survey (DHS), and dozens of spatial covariates derived from publicly available datasets. Realistic household latitude-longitude coordinates are manually generated based on public satellite imagery. Simulated households are linked to latitude-longitude coordinates by identifying distinct household types with multivariate k-means analysis and modelling a probability surface for each household type using Random Forest machine learning methods. We simulate five realizations of a synthetic population in Namibia’s Oshikoto region, including demographic, socioeconomic, and outcome characteristics at the level of household, woman, and child. Comparison of variables in the synthetic population were made with 2011 census 20% sample and 2013 DHS data by primary sampling unit/enumeration area. We found that synthetic population variable distributions matched observed observations and followed expected spatial patterns. We outline a novel process to simulate a close-to-reality microdata census geolocated to realistic building locations in a low- or middle-income country setting to support spatial demographic research and survey methodological development while avoiding disclosure risk of individuals.

State of the Art VII: The Demography of the Middle East

1970 ◽  
Vol 4 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Georges Sabagh
Keyword(s):  
Economic Development ◽  
Population Growth ◽  
Social Development ◽  
Statistical Data ◽  
State Of The Art ◽  
Middle Eastern ◽  
Population Data ◽  
Standard Of Living ◽  
Demographic Research ◽  
Social And Economic Development

On May 22, 1966, the eve of the first Tunisian census since independence, President Habib Bourguiba expressed as follows the objectives and uses of this census: The methodical efforts we are making, within the framework of the Plan, to raise the standard of living of citizens are of necessity based on statistical data concerning the size and distribution of the population, its activities and its manner of life.…The census does not consist solely in just counting our population. Its purpose is to collect all sorts of information likely to help us draw our plans for economic and social development judiciously.The need for population data has undoubtedly provided an impetus for the collection of such data as well as for demographic research not only in Tunisia but also in other Middle Eastern countries. In recent years, an added impetus for demographic research has been the realization that, in some of these countries, population growth may be threatening social and economic development.

scholarly journals Exile and demographic population growth in Serbia

Stanovnistvo ◽  
2005 ◽  
Vol 43 (1-4) ◽  
pp. 43-60 ◽  
Author(s):  
Radoslav Stevanovic
Keyword(s):  
Population Growth ◽  
Significant Contribution ◽  
Total Population ◽  
Population Projections ◽  
Population Census ◽  
Demographic Development ◽  
Refugee Population ◽  
Positive Effects ◽  
The Republic ◽  
Qualitative Characteristics

The data of the 2002 population census on refugee population are analyzed in this paper with a basic aim to determine the significance (contribution) of refugee corpus in demographic development of the Republic of Serbia. By analyzing the data, it has been determined that the refugee corpus does not significantly differ from the domicile population in the basic, above all demographic and other qualitative characteristics. The differences which can be noticed with certain (primarily socio-economic) characteristics, due to the proportionally small participation of refugee persons in relation to the total (domicile) population, could not significantly influence the total demographic, socio-economic and other characteristics of the population of central Serbia and Vojvodina. The most significant contribution of refugee (classifying the refugee corpus in the country's total population) is reflected in the mitigation of the depopulation trend, namely population growth, not only both micro-entities, but also lower administrative-territorial entities (districts) depending on the enumerated refugee population in them. However, population projections indicate that by the middle of this century (2050) the positive effects of the basically larger number of inhabitants will be lost caused by the inflow of refugee population.

scholarly journals Penggunaan Bahasa Indonesia sebagai Bahasa Sehari-hari oleh Migran di Provinsi DKI Jakarta Berdasarkan Data Sensus Penduduk 1971

2018 ◽  
Vol 13 (4) ◽  
pp. 579
Author(s):  
Suyanto Suyanto
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Census Data ◽  
Mother Tongue ◽  
Population Census ◽  
Third Place ◽  
Demographic Research ◽  
Colloquial Language ◽  
Bahasa Indonesia ◽  
Descriptive Statistical Analysis

This research is a linguistic demographic research. The focus of this study is the use of Indonesian (BI) by migrants as a colloquial language in the Province of the Special Capital Region of Jakarta based on 1971 Population Census data. This study aims: (1) to explain the number of Indonesian speakers nationally and according to ethnicity in Jakarta Province and (2) explaining the composition of migrants in Jakarta based on daily language or mother tongue. The data collection of this study uses the referral method that was developed with the technique of noting and analyzing data using descriptive statistical analysis. The results showed that the population of Indonesia was dominated by speakers of Javanese and Sundanese languages which were 40.44 percent and 15.06 percent respectively, and only 11.93 percent were Indonesian's mother tongue. The majority of migrants in Jakarta mostly use Indonesian for daily communication, which reaches 84.68 percent, and Javanese is used by 7.54 percent and third place in Sundanese is used by 3.96 percent. This conditions is far below the number of Javanese-speaking migrants who reached 41 percent and 31 percent of Sundanese. The occurrence of these symptoms is caused by: (1) the demands of work, (2) living with multilingual migrants, and (3) linguistic prestige.

Fertility and Family Planning in Africa

1970 ◽  
Vol 8 (3) ◽  
pp. 445-457 ◽  
Author(s):  
Thomas E. Dow
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Population Control ◽  
Sub Saharan Africa ◽  
High Rate ◽  
High Fertility ◽  
Demographic Research ◽  
Subsaharan Africa ◽  
Social And Economic Development ◽  
Sub Saharan

As the result of recent demographic research, we now have a reasonable basis for estimating rates of birth, death, and population growth in subSaharan Africa. These findings suggest that fertility is higher, and mortality lower, than had previously been assumed. This combination of high fertility and declining mortality implies a high rate of population growth. The compatibility of such a growth rate with existing plans for social and economic development is doubtful. This article examines the findings and issues, and seeks to determine the feasibility of population control in sub-Saharan Africa.

scholarly journals SPATIAL-TEMPORAL VARIATION AS AN EFFECTIVE SOCIO-ECONOMIC IMPACT OF POPULATION GROWTH IN MARARABAN GURUKU, NASARAWA STATE NIGERIA

2020 ◽  
Vol 4 (1) ◽  
pp. 04-08
Author(s):  
Ibrahim Sufiyan ◽  
Jummai H.H. ◽  
Magaji J I ◽  
K.D Mohammed
Keyword(s):  
Population Growth ◽  
Population Change ◽  
Negative Influence ◽  
Population Increase ◽  
Coefficient Of Determination ◽  
Population Census ◽  
Strong Impact ◽  
High Population Growth ◽  
High Crime ◽  
Almost All

One of the determinants of people’s numbers is the socioeconomic prosperities of a particular place in the context of population census. The population is defined as the total number of people, animals and other variables per unit area in the environment. This study focuses on the negative and positive aspects of population growth and distribution. The study also covers possible factors influencing population growth and distribution in Mararaban Guruku, Karu Local Government Area of Nasarawa State. The data presented were obtained from the National Population Commission with a focus on socio-economic data and made use of appropriate statistical analysis of coefficient of determination (R2). Almost all the models have a strong and significant correlation. The multiple regression analysis defined the fitness the model at 0.9 and 0.8. The result indicates positive correlation of dependency ratio and strong impact on population increase. Mararaban Guruku is considered to have high population growth and subjected to negative influence population change ranging from high crime rate, growth of urban slums and ghetto, unemployment and overcrowding. However, it is suggested by the respondents that people are becoming aware of the use of family planning as an effective avenue of Birth control.

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