Leslie matrix model of P. flavus WM population.

Kitui Pop Pyramid Age Groups - 2009

Age Distribution of males and females in Bomet County

Time-specific life table of P. flavus LM population.

Kilifi Pop Pyramid Age Groups - 2009

Migori Pop Pyramid Age Groups - 2009

Abstract

The Census provides a great deal of useful information about demographic, social and economic characteristics of the population. The 1991 Census counted all persons who were living in Western Samoa on census night. It excluded Western Samoans living in other countries. The 1991 census was processed in house in the newly established Data Processing Division of the Department of Statistics. Two publications of the 1991 census have already been released. The village directory was released in October 1992 and a publication of selected tables in May 1993. The census process began with a decision by the Statistics Advisory Board late in 1989 to take a census in November 1991. A project document was prepared with the assistance from ESCAP, through its Regional Adviser for Censuses and Surveys, and submitted to UNFPA for support. The document was subsequently approved and UNFPA assistance was secured. The Minister of Statistics also gave assurance of government suport which provided the impetus for preparatory work. The first step was to draw up a detailed work plan complete with timing and duration of each activity its cost and its expected output. Once this plan was approved, some important elements could be into place. The first was to ensure that the department of statistics and cooperating agencies were organised in a way conducive to performing key census tasks.

Geographic coverage

The national coverage was based on four main regions; Apia Urban Area, North West Upolu, Rest of Upolu and Savaii.

Analysis unit

A Census of Population and Housing with community-level questionnaire would have the following units of analysis: individuals and households

Universe

The 1991 Census counted all persons who were living in Western Samoa on census night. The survey covered all household; private households and institutions. The survey covered all household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Other essential tasks included the design of the questionnaires and the census processing system. Some important developments had occured since 1986, leading to a need for modifications in data collection or processing. Thus while consistency between the 1991 and earlier censuses was important, it was equally vital that improvements be made and proper field tests carried out in time. Among the changes to the questionnaire were included a reintroduction of a question on literacy and a more intensive approach to collecting data on economic activity. This included and additional question to enable responses to be classified to the revised skill based International Classification of Occupations (ISCO 1988) and greater probing on the activities of womendescribed as housewives, in the belief that in earlier censuses may had erroneously been excluded from labour force. In addition, the census was designed to cover housing characteristics, the first time since 1981. Two sets of questionnaires were used in the census:

1) A household questionnaire which was used to collect information on all household members (usual residents), the household, and the dwelling. 2) A housing questionnaire gives information about the building occupied by the household and some details on the household occupying the building

Cleaning operations

The 1986 census was the first to be processed in-house. Many lessons were learned during that processing which were applied in the processing of the 1991 census. The system was based on an integrated software package known as U-SP. The system was designed and tested well before the census, utilising the completed pre-test schedules. The processing of the 1989 Census of Agriculture also helped in providing experience. Processing was entirely interactive. Data entry, editing and amendments were completed by statisticians who worked "hands-on" at the computer terminals. As a result processing was faster and more efficient than in any previous census. There were some problems however. Checking and coding were delayed for at least 2 months when a state of emergency was declared following cyclone Val early in December 1991. Damage to the office building and frequent electricity failures delayed work further.

Data appraisal

Population Pyramid Sex Ratio by Age Group

Fertility table of P. flavus BM population.

Abstract

Population and Housing Census of Bhutan 2005 collected data on demographic, eduation, health, migration, household and housing characteristics. It covered the entire country irrespective of human habitation or not and counted all structures, census house, households and people whether Bhutanese or non-Bhutanese residing in the country at a specific point of time. The Census was carried out for two days, 30 and 31 May, 2005. A total of 7500 enumerators, supervisors and administrators were involved.

General Objectives: The 2005 Census seeks to create an inventory of Bhutan's population size, socio-economic information, labour and demographic characteristics.

Specific Objectives: - to obtain an up-to date count of the population size, by age and sex - to obtain geographic distribution of the population by demographic and socio-economic characteristics - to provide frames for surveys and other statistical activities - to gather information about migration and fertility

Salient features of a census: 1. The population census forms an integral part of a country’s National Statistical System. 2. The census provides valuable benchmark data on a wide range of characteristics, a frame for statistical survey and data to compile a variety of social and economic indicators. These indicators must be comparable between areas within as well as with that of other countries. 3. The census provides the demographic, housing, social and economic data not provided by population registers. 4. Most importantly a census provides data at the smallest area level like a village. Extensive and detailed cross-classification is possible. This is not possible in a sample survey. 5. The population census has a legitimate methodology, which is acceptable internationally.

Geographic coverage

National, District (Dzongkhag), Sub-district (Gewogs), Urban (or Rural) areas.

Analysis unit

Individuals, Households, Gewogs, Dzongkhags, National

Universe

The Census covered all de facto household members. It covered the entire country irrespective of human habitation or not and counted all structures, census house, households and people whether Bhutanese or non-Bhutanese residing in the country at a Census Night ( Midngiht of 30 May)

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not Applicable

Mode of data collection

Face-to-face [f2f]

Research instrument

To develop the census questionnaires, consultative meetings were conducted with all ministries. This was followed by a workshop for all sector heads to finalise the contents of the census questionnaires. Necessary changes were incorporated into the census questionnaires based on the outcome of the workshops and consultative meetings. The questionnaires were pre-tested in the three regions of the country. After making all necessary changes the forms were printed in adequate numbers.

Form PHCB - 2A - Household List Update: This section collects data on village code, structure number, census house number, use of census house, serial number of household, name of household head, sex and age with geographical codes. Form PHCB - 2B - Household Members List: This section collects information on household members, relationship, sex, age, member status, members absent and duration absent. Form PHCB -2C - Individual Member Details: This section has three parts. Part A collects information on general demographic characteristics and migration. Part B collects information on education and employment and Part C collects information on fertiliy of women age 15-49 years. Form PHCB - 2D - Household Informamtion: This section has two parts. Part A collects information on housing conditions and facilities. Part B collects information on particulars of the deceased in the past twelve months.

Cleaning operations

Data editing was done in several stages. The first editing of data was done by the field supervisors and then followed by the manual editing at the dzongkhag level immediately after the field operation. The final manual editing was done at the centre by 20 Dzongkhag Statistical Officers, 1 Registration Officer and 28 graduates who were trained and deployed on temporary basis for three months.

Response rate

100% response rate.

Note: The Royal Government of Bhutan declared 30 May - 31 May, 2005, as public holidays.

Sampling error estimates

Since PHCB, 2005 involved complete enumeration of respondents, Sampling procedures were not applicable thus sampling errors were not computed.

Data appraisal

Standard tables and graphs were generated to assess the data reliablity. This includes the computation of population pyramid, grapha of male and female population by single years of age, age and sex structure, age distribution of the household population.

Author: J Nelson, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 8Resource type: lessonSubject topic(s): cities, geographic thinking, gisRegion: africaStandards: Minnesota Social Studies Standards

Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.

Standard 2. Geographic inquiry is a process in which people ask geographic questions and gather, organize and analyze information to solve problems and plan for the future.

Standard 3. Places have physical characteristics (such as climate, topography and vegetation) and human characteristics (such as culture, population, political and economic systems).Objectives: Students will be able to:

1. Describe a slum and how it forms.
2. Describe how a slum functions and issues slum dwellers face.
3. Analyze maps and kmz files through multi-media to investigate issues within the slum and answer specific geographic questions.
4. Construct and analyze a variety of population pyramids.
5. Synthesize findings and create an action plan to expose issues of slum life. Summary: The phenomenon of rapid urbanization will be examined through a GIS analysis of the Kianda Village, which lies in the Kibera slum in Nairobi, Kenya. Kibera slum houses one million people within an area the size of New York City’s Central Park. With one third of urban dwellers living in slums, students will explore what life is like in a slum by analyzing a variety of maps, population pyramids, and Google Earth Layers.

Dynamic quantitative prediction model of P. flavus WM population.

Fertility table of P. flavus WM population.

Abstract

The main objectives of the 2010 Census of Population and Housing were: • To provide accurate and reliable information on the size, composition and distribution of the population of Zambia at the time of the census; • To provide information on the demographic and socioeconomic characteristics of the population of Zambia at the lowest administrative level - the ward; • To provide indicators for measuring progress towards national and international development goals in a timely and user friendly manner; • To provide information on the number and characteristics of households engaged in agriculture and other economic activities; • To provide an accurate sampling frame and sample weights for future inter-censal household and population based surveys; • To provide information identifying the number of eligible voters for the 2011 General Elections; • To provide a census that meets national and international standards and allows for comparability with other censuses; • To provide information on the housing characteristics of the population.

Universe

Census Enumerators went out visiting all buildings in Zambia whether completed, incomplete, abandoned, habitable and inhabitable for the purpose of identifying characteristics of all buildings, households and other human aspects. All persons who lived in the buildings were counted and detailed information pertaining to their characteristics obtained.

Sampling procedure

The Census mapping methodology in 2010 was Geographic Information System (GIS) driven with the use of Satellite Imagery in urban areas and Global Positioning System (GPS) in rural areas.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2010 Census used a single questionnaire to capture individual, household and housing characteristics from the population. The 2010 Census differs from the 2000 Census by including questions on deaths of Household Members during the 12 months period prior to the census enumeration, as well as cause of death for all reported deaths.

Included for the first time were questions on maternal deaths to women aged 12-49 years during the reference period (12 months prior to the Census). Questions were asked of female household members aged 12-49 years that were reported to have died during the reference period (12 months prior to the census), whether the death had occurred while the woman was pregnant, during childbirth or six weeks after the end of a pregnancy, regardless of the outcome of the pregnancy. Another new addition was the question on whether one was an Albino or not.

Cleaning operations

In April 2011, the Central Statistical Office started the data capture and processing of the 2010 Census questionnaires. Scanning of the 2010 Census questionnaires started in April 2011 and was successfully concluded in August 2011. The data capture used Optical Mark Reading (OMR) and Intelligent Character Recognition (ICR) technology in order to speed up the processing time. Data verification and development of edit and imputation specifications and programmes started in May and was completed in November 2011.

Data appraisal

Methods of evaluation applied were:

• Direct Method: Post Enumeration Survey (PES)- a sample of households is revisited after the census and data are again collected but on a smaller scale and later compared with that collected during the actual census. • Indirect Method: Comparison of data using both internal and external consistency checks. Internal consistency checks compare relationships of data within the same census data, whereas external consistency checks compare census data with data generated from other sources.

Coverage errors: • Omission or duplication of individuals, households, or housing units resulting in under or over enumeration. • Lack of accessibility or cooperation with respondents. • Lack of proper boundary descriptions on maps. Coverage errors can be measured by examining certain statistics such as growth rate, age composition, child woman ratio and dependency ratio.

Content errors: Content errors refer to instances where characteristics such as age, sex, marital status, economic activity, etc. of a person enumerated in a census or survey are incorrectly reported or tabulated. • Content errors are caused by either a respondent giving a wrong response or by an enumerator recording an incorrect response. • 2010 census errors were estimated by the use of the Myers' Index, Sex Ratios, Age Ratios and Population Pyramids.

For findings, please refer to the presentation on census data evaluation provided as external resources.

Cell types used in the model, numbers of sections in each cell and numbers of cells in each population.

Correlation between independent components obtained through our procedure with activity of specific cell populations for different example simulations.