This is a subset of Population projections

Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.

This is a subset of Population projections

Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

About this dataset

Context

The dataset tabulates the data for the Maryland population pyramid, which represents the Maryland population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Maryland, is 28.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Maryland, is 24.9.
• Total dependency ratio for Maryland is 53.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Maryland is 4.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Maryland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Maryland for the selected age group is shown in the following column.
• Population (Female): The female population in the Maryland for the selected age group is shown in the following column.
• Total Population: The total population of the Maryland for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Maryland Population by Age. You can refer the same here

As of January 2024, the population aged over 65 years in Spain amounted to **** million people, thus continuing the upward trend witnessed in previous years. Between 2002 and 2024, the elderly population increased by almost ***** million. According to recent data, people aged over 65 years represent nearly a fifth of the Spanish population. Ageism, a growing concern As it is happening in most advanced economies, the Spanish population is getting older. The Mediterranean country featured a median age of **** years in 2020, and it is forecast to reach 51.8 years in 2050. Life expectancy and the fertility rate are experiencing opposite trends, and while the former keeps improving, the latter continue to decrease. As a result, the Spanish population pyramid is turning into the contracting type, which has worrying social and economic consequences. Poverty among seniors The average amount of a retirement pension in the country is just over ***** euros a month, though this figure depends on the scheme and place of residence. There were almost *** million persons receiving a monthly retirement pension which amounted to *** euros or less in 2023. This scarce allowance can be insufficient to provide a good quality of life. Most recent data shows that over ** percent of those aged 65 or older were at risk of poverty, an extremely high rate even though this was one of the age groups that featured the lowest risk of poverty. On average, ** percent of the spending among this age group is channeled towards housing, water, electricity and fuels, which leaves little room for spending on other items (food, dress, services, etc.) for those millions of people whose retirement pension is not even close to the national minimum wage. For more data on this topic, check Statista's report on Seniors in Spain.

According to the age distribution of China's population in 2024, approximately 68.6 percent of the population were in their working age between 15 and 64 years of age. Retirees aged 65 years and above made up about 15.6 percent of the total population. Age distribution in China As can be seen from this statistic, the age pyramid in China has been gradually shifting towards older demographics during the past decade. Mainly due to low birth rates in China, the age group of 0 to 14 year-olds has remained at around 16 to 17 percent since 2010, whereas the age groups 65 years and over have seen growth of nearly seven percentage points. Thus, the median age of the Chinese population has been constantly rising since 1970 and is forecast to reach 52 years by 2050. Accompanied by a slightly growing mortality rate of more than 7 per thousand, China is showing strong signs of an aging population. China's aging society The impact of this severe change in demographics is the subject of an ongoing scientific discussion. Rising standards of living in China contain the demand for better health care and pension insurance for retirees, which will be hard to meet with the social insurance system in China still being in its infancy. Per capita expenditure on medical care and services of urban households has grown more than ninefold since 2000 with a clear and distinctive upward trend for the near future. As for social security spending, public pension expenditure is forecast to take up approximately nine percent of China's GDP by 2050.

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

This statistic shows the age structure in Saudi Arabia from 2013 to 2023. In 2023, approximately 24.1 percent of Saudi Arabia's population were aged between 0 and 14 years, about 73.08 percent were aged between 15 and 64 years, and about 2.82 percent were aged between 65 years.

Annual Demographic Statistics contains the following data: population estimates by age and sex for Canada, the provinces, territories, census divisions and census metropolitan areas; estimates by age, sex and marital status for the provinces and territories; and estimates of the number of census families for Canada, the provinces and territories, by type of family (husband-wife, lone-parent), size of family, age of children and age and sex of parents. It also includes statistics for the demographic components that were used to produce the population estimates (births, deaths, marriages, divorces, immigration, total emigration, internal migrations and non permanent residents) by age and sex. In addition, there are highlights of current demographic trends and a description of the methodology; population data from 1971 for provinces and territories, and from 1986 for census divisions and census metropolitan areas; and animated age pyramids, which illustrate the aging of the population. Continued by Demographic Estimates Compendium. Access data here

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.

This statistic depicts the age distribution of the United Kingdom from 2014 to 2024. In 2024, about 17.19 percent of the population in the United Kingdom fell into the 0-14 year category, 63.32 percent into the 15-64 age group and 19.5 percent were over 65 years of age. The same year, the total UK population amounted to about 67.26 million people.

This statistic depicts the age distribution of India from 2013 to 2023. In 2023, about 25.06 percent of the Indian population fell into the 0-14 year category, 68.02 percent into the 15-64 age group and 6.92 percent were over 65 years of age. Age distribution in India India is one of the largest countries in the world and its population is constantly increasing. India’s society is categorized into a hierarchically organized caste system, encompassing certain rights and values for each caste. Indians are born into a caste, and those belonging to a lower echelon often face discrimination and hardship. The median age (which means that one half of the population is younger and the other one is older) of India’s population has been increasing constantly after a slump in the 1970s, and is expected to increase further over the next few years. However, in international comparison, it is fairly low; in other countries the average inhabitant is about 20 years older. But India seems to be on the rise, not only is it a member of the BRIC states – an association of emerging economies, the other members being Brazil, Russia and China –, life expectancy of Indians has also increased significantly over the past decade, which is an indicator of access to better health care and nutrition. Gender equality is still non-existant in India, even though most Indians believe that the quality of life is about equal for men and women in their country. India is patriarchal and women still often face forced marriages, domestic violence, dowry killings or rape. As of late, India has come to be considered one of the least safe places for women worldwide. Additionally, infanticide and selective abortion of female fetuses attribute to the inequality of women in India. It is believed that this has led to the fact that the vast majority of Indian children aged 0 to 6 years are male.

Abstract

The 2022 Philippines National Demographic and Health Survey (NDHS) was implemented by the Philippine Statistics Authority (PSA). Data collection took place from May 2 to June 22, 2022.

The primary objective of the 2022 NDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the NDHS collected information on fertility, fertility preferences, family planning practices, childhood mortality, maternal and child health, nutrition, knowledge and attitudes regarding HIV/AIDS, violence against women, child discipline, early childhood development, and other health issues.

The information collected through the NDHS is intended to assist policymakers and program managers in designing and evaluating programs and strategies for improving the health of the country’s population. The 2022 NDHS also provides indicators anchored to the attainment of the Sustainable Development Goals (SDGs) and the new Philippine Development Plan for 2023 to 2028.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling scheme provides data representative of the country as a whole, for urban and rural areas separately, and for each of the country’s administrative regions. The sample selection methodology for the 2022 NDHS was based on a two-stage stratified sample design using the Master Sample Frame (MSF) designed and compiled by the PSA. The MSF was constructed based on the listing of households from the 2010 Census of Population and Housing and updated based on the listing of households from the 2015 Census of Population. The first stage involved a systematic selection of 1,247 primary sampling units (PSUs) distributed by province or HUC. A PSU can be a barangay, a portion of a large barangay, or two or more adjacent small barangays.

In the second stage, an equal take of either 22 or 29 sample housing units were selected from each sampled PSU using systematic random sampling. In situations where a housing unit contained one to three households, all households were interviewed. In the rare situation where a housing unit contained more than three households, no more than three households were interviewed. The survey interviewers were instructed to interview only the preselected housing units. No replacements and no changes of the preselected housing units were allowed in the implementing stage in order to prevent bias. Survey weights were calculated, added to the data file, and applied so that weighted results are representative estimates of indicators at the regional and national levels.

All women age 15–49 who were either usual residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed. Among women eligible for an individual interview, one woman per household was selected for a module on women’s safety.

For further details on sample design, see APPENDIX A of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires were used for the 2022 NDHS: the Household Questionnaire and the Woman’s Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to the Philippines. Input was solicited from various stakeholders representing government agencies, academe, and international agencies. The survey protocol was reviewed by the ICF Institutional Review Board.

After all questionnaires were finalized in English, they were translated into six major languages: Tagalog, Cebuano, Ilocano, Bikol, Hiligaynon, and Waray. The Household and Woman’s Questionnaires were programmed into tablet computers to allow for computer-assisted personal interviewing (CAPI) for data collection purposes, with the capability to choose any of the languages for each questionnaire.

Cleaning operations

Processing the 2022 NDHS data began almost as soon as fieldwork started, and data security procedures were in place in accordance with confidentiality of information as provided by Philippine laws. As data collection was completed in each PSU or cluster, all electronic data files were transferred securely via SyncCloud to a server maintained by the PSA Central Office in Quezon City. These data files were registered and checked for inconsistencies, incompleteness, and outliers. The field teams were alerted to any inconsistencies and errors while still in the area of assignment. Timely generation of field check tables allowed for effective monitoring of fieldwork, including tracking questionnaire completion rates. Only the field teams, project managers, and NDHS supervisors in the provincial, regional, and central offices were given access to the CAPI system and the SyncCloud server.

A team of secondary editors in the PSA Central Office carried out secondary editing, which involved resolving inconsistencies and recoding “other” responses; the former was conducted during data collection, and the latter was conducted following the completion of the fieldwork. Data editing was performed using the CSPro software package. The secondary editing of the data was completed in August 2022. The final cleaning of the data set was carried out by data processing specialists from The DHS Program in September 2022.

Response rate

A total of 35,470 households were selected for the 2022 NDHS sample, of which 30,621 were found to be occupied. Of the occupied households, 30,372 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 28,379 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 27,821 women, yielding a response rate of 98%.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and in data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2022 Philippines National Demographic and Health Survey (2022 NDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2022 NDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2022 NDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS using programs developed by ICF. These programs use the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables

• Household age distribution
• Age distribution of eligible and interviewed women
• Age displacement at age 14/15
• Age displacement at age 49/50
• Pregnancy outcomes by years preceding the survey
• Completeness of reporting
• Observation of handwashing facility
• School attendance by single year of age
• Vaccination cards photographed
• Population pyramid
• Five-year mortality rates

See details of the data quality tables in Appendix C of the final report.

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

Abstract

Population and Housing Census of Bhutan 2005 collected data on demographic, education, 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 Objective 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

Analysis unit

Households, household members

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 (Midnight 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 fertility of women age 15-49 years.

Form PHCB - 2D - Household Information: 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 reliability. This includes the computation of population pyramid, graphs of male and female population by single years of age, age and sex structure, age distribution of the household population.

This memorandum discusses the results of population estimates for Anaho Island National Wildlife Refuge within the Stillwater Wildlife Management Area. The report first gives an introduction to Anaho Island, followed by methods for obtaining population counts. Next are the results of the study and bird count numbers. Other bird sightings are included as well as aerial photographs displaying the locations of nesting colonies. American White Pelican, Doublecrested Cormorant, Great Blue Heron, California Gull, and Blackcrowned Night Heron are species discussed.

The new short-lived plant samples and 14C dates from the Old Kingdom period of Egyptian history.

These models incorporate different reign length configurations by refs. Hornung et al. 21, Kitchen 4, Shaw 59.Outputs of accession dates for individual OK and MK kings are given in the S2 and S3 Tables. All dates in BCE.