Abstract

The main aim and objectives of the census is to provide benchmark statistics and a comprehensive profile of the population and households of Niue at a given time. This information obtained from the census is very crucial and useful in providing evidence to decision making and policy formulation for the Government, Business Community, Local Communities or Village Councils, Non Government Organisations of Niue and The International Communities who have an interest in Niue and its people.

Geographic coverage

National

Analysis unit

• Household
• Individual/Person
• Members Oversea

Universe

All households in Niue and all persons in the household including those temporarily overseas and those absent for not more than 12 months.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionaire was published in English, a translated questionnaire was on hand when on demand by the respondent.

The questionnaire design differed slightly from the design of previous census questionnaires. As usual, government departments were asked to submit a list of questions on any specific topic they would like to add. Responses were not forthcoming in this census, although a few new questions were included.

There were two types of questionaires used in the census: the household questionaire and the individual questionnaire. An enumerator manual was prepared to assist the enumerators in their duties.

The questionnaire was pre-tested by the enumerators before they were to go out for field enumeration.

Cleaning operations

Census processing began as soon as questionaires were checked and coded. Forms were checked, edited and coded before being entered into the computer database.

Data processing was assisted by the Secretariat of the Pacific Community (SPC) using the computer software program CSPro for data entry and for generating tables. Tables were then exported to Excel for analysis.

Occupation and Industry were coded using the United Nations International Standard Classification of Occupation and International Standard Industrial Classification.

It is standard practice that as each area was completed the forms were first checked by the field supervisors for missing information and obvious inconsistencies. Omissions and errors identified at this stage were corrected by the enumerators.

The next stage was for the field supervisors to go through the completed forms again in the office to check in more detail for omissions and logical inconsistencies. Where they were found, the supervisors were responsible to take the necessary action.

Once the questionnaires had been thoroughly checked and edited, they were then coded in preparation for data processing.

Checking, editing and coding of the questionnaires in office were done after normal working hours as to ensure that the confidentiality of the survey is well observed.

Abstract

Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation.The census plays an essential role in public administration. The results are used to ensure: • equity in distribution of government services • distributing and allocating government funds among various regions and districts for education and health services • delineating electoral districts at national and local levels, and • measuring the impact of industrial development, to name a few The census also provides the benchmark for all surveys conducted by the national statistical office. Without the sampling frame derived from the census, the national statistical system would face difficulties in providing reliable official statistics for use by government and the public. Census also provides information on small areas and population groups with minimum sampling errors. This is important, for example, in planning the location of a school or clinic. Census information is also invaluable for use in the private sector for activities such as business planning and market analyses. The information is used as a benchmark in research and analysis.

Census 2011 was the third democratic census to be conducted in South Africa. Census 2011 specific objectives included: - To provide statistics on population, demographic, social, economic and housing characteristics; - To provide a base for the selection of a new sampling frame; - To provide data at lowest geographical level; and - To provide a primary base for the mid-year projections.

Geographic coverage

National

Analysis unit

Households, Individuals

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

About the Questionnaire : Much emphasis has been placed on the need for a population census to help government direct its development programmes, but less has been written about how the census questionnaire is compiled. The main focus of a population and housing census is to take stock and produce a total count of the population without omission or duplication. Another major focus is to be able to provide accurate demographic and socio-economic characteristics pertaining to each individual enumerated. Apart from individuals, the focus is on collecting accurate data on housing characteristics and services.A population and housing census provides data needed to facilitate informed decision-making as far as policy formulation and implementation are concerned, as well as to monitor and evaluate their programmes at the smallest area level possible. It is therefore important that Statistics South Africa collects statistical data that comply with the United Nations recommendations and other relevant stakeholder needs.

The United Nations underscores the following factors in determining the selection of topics to be investigated in population censuses: a) The needs of a broad range of data users in the country; b) Achievement of the maximum degree of international comparability, both within regions and on a worldwide basis; c) The probable willingness and ability of the public to give adequate information on the topics; and d) The total national resources available for conducting a census.

In addition, the UN stipulates that census-takers should avoid collecting information that is no longer required simply because it was traditionally collected in the past, but rather focus on key demographic, social and socio-economic variables.It becomes necessary, therefore, in consultation with a broad range of users of census data, to review periodically the topics traditionally investigated and to re-evaluate the need for the series to which they contribute, particularly in the light of new data needs and alternative data sources that may have become available for investigating topics formerly covered in the population census. It was against this background that Statistics South Africa conducted user consultations in 2008 after the release of some of the Community Survey products. However, some groundwork in relation to core questions recommended by all countries in Africa has been done. In line with users' meetings, the crucial demands of the Millennium Development Goals (MDGs) should also be met. It is also imperative that Stats SA meet the demands of the users that require small area data.

Accuracy of data depends on a well-designed questionnaire that is short and to the point. The interview to complete the questionnaire should not take longer than 18 minutes per household. Accuracy also depends on the diligence of the enumerator and honesty of the respondent.On the other hand, disadvantaged populations, owing to their small numbers, are best covered in the census and not in household sample surveys.Variables such as employment/unemployment, religion, income, and language are more accurately covered in household surveys than in censuses.Users'/stakeholders' input in terms of providing information in the planning phase of the census is crucial in making it a success. However, the information provided should be within the scope of the census.

1. The Household Questionnaire is divided into the following sections:
2. Household identification particulars

3. Individual particulars Section A: Demographics Section B: Migration Section C: General Health and Functioning Section D: Parental Survival and Income Section E: Education Section F: Employment Section G: Fertility (Women 12-50 Years Listed) Section H: Housing, Household Goods and Services and Agricultural Activities Section I: Mortality in the Last 12 Months The Household Questionnaire is available in Afrikaans; English; isiZulu; IsiNdebele; Sepedi; SeSotho; SiSwati;Tshivenda;Xitsonga

4. The Transient and Tourist Hotel Questionnaire (English) is divided into the following sections:

5. Name, Age, Gender, Date of Birth, Marital Status, Population Group, Country of birth, Citizenship, Province.

6. The Questionnaire for Institutions (English) is divided into the following sections:

7. Particulars of the institution

8. Availability of piped water for the institution

9. Main source of water for domestic use

10. Main type of toilet facility

11. Type of energy/fuel used for cooking, heating and lighting at the institution

12. Disposal of refuse or rubbish

13. Asset ownership (TV, Radio, Landline telephone, Refrigerator, Internet facilities)

14. List of persons in the institution on census night (name, date of birth, sex, population group, marital status, barcode number)

15. The Post Enumeration Survey Questionnaire (English)

These questionnaires are provided as external resources.

Cleaning operations

Data editing and validation system The execution of each phase of Census operations introduces some form of errors in Census data. Despite quality assurance methodologies embedded in all the phases; data collection, data capturing (both manual and automated), coding, and editing, a number of errors creep in and distort the collected information. To promote consistency and improve on data quality, editing is a paramount phase in identifying and minimising errors such as invalid values, inconsistent entries or unknown/missing values. The editing process for Census 2011 was based on defined rules (specifications).

The editing of Census 2011 data involved a number of sequential processes: selection of members of the editing team, review of Census 2001 and 2007 Community Survey editing specifications, development of editing specifications for the Census 2011 pre-tests (2009 pilot and 2010 Dress Rehearsal), development of firewall editing specifications and finalisation of specifications for the main Census.

Editing team The Census 2011 editing team was drawn from various divisions of the organisation based on skills and experience in data editing. The team thus composed of subject matter specialists (demographers and programmers), managers as well as data processors. Census 2011 editing team was drawn from various divisions of the organization based on skills and experience in data editing. The team thus composed of subject matter specialists (demographers and programmers), managers as well as data processors.

The Census 2011 questionnaire was very complex, characterised by many sections, interlinked questions and skipping instructions. Editing of such complex, interlinked data items required application of a combination of editing techniques. Errors relating to structure were resolved using structural query language (SQL) in Oracle dataset. CSPro software was used to resolve content related errors. The strategy used for Census 2011 data editing was implementation of automated error detection and correction with minimal changes. Combinations of logical and dynamic imputation/editing were used. Logical imputations were preferred, and in many cases substantial effort was undertaken to deduce a consistent value based on the rest of the household’s information. To profile the extent of changes in the dataset and assess the effects of imputation, a set of imputation flags are included in the edited dataset. Imputation flags values include the following: 0 no imputation was performed; raw data were preserved 1 Logical editing was performed, raw data were blank 2 logical editing was performed, raw data were not blank 3 hot-deck imputation was performed, raw data were blank 4 hot-deck imputation was performed, raw data were not blank

Data appraisal

Independent monitoring and evaluation of Census field activities Independent monitoring of the Census 2011 field activities was carried out by a team of 31 professionals and 381 Monitoring

Abstract

The 2011 Population and Housing Census of Samoa was taken on the midnight of November the 7th 2011. It counted every person in the country on that night and collected a wide range of social, economic and demographic information about each individual and their housing status.

The information were used to develop statistical indicators to support national plannning and policy-making and also to monitor MDG indicators and all other related conventions. This included population growth rates, educational attainment, employment rates, fertility rates, mortality rates, internal movements, household access to water supply, electricity, sanitation, and many other information. The full report is available at SBS website: http://www.sbs.gov.ws under the section on Population statistics and demography.

Geographic coverage

National coverage Regions Districts Village Enumeration areas

Analysis unit

Private households Institutional households Individuals Women 15-49 Housing/Buildings

Universe

The PHC 2011 covered all de facto household members, institutional households such as boarding schools, hospitals, prison inmates and expatriates residing in Samoa for more than 3 months. The PHC excluded all tourists visiting Samoa during the enumeration period and all Samoans residing overseas.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not applicable to a complete enumeration census.

Mode of data collection

Face-to-face [f2f]

Research instrument

Users' consultation seminars were conducted for three consecutive days (June 8th -10th, 2010) with financial support provided by the office of UNFPA in Suva via the Samoa Parliamentary Group for Population Development (SPGPD) annual programs. For the first time in census history, the SPGPD or members of parliament have become the target group of users to get involved in any census questionnaire consultations.

All government ministries and non-governmental organizations were invited to the consultation seminars and each was asked to make a presentation of data needs for consideration in the final census 2011 questionnaire. To avoid re-inventing the wheel in the compilation of the list of census questions for census 2011, the questionnaire from the census 2006 was reprinted and distributed to all participants and presenters to select questions that they would consider again for the census 2011 in addition to their new data needs. Users were also advised that any new question would need good justifications of how it links to national interests.

At the end of the three days seminar, all new questions were compiled for final selection by Samoa Bureau of Statistics. Not all the users' data needs have been included in the final 2011 census questionnaire due mainly to the cost involved and limited time for census enumeration. Therefore, the final selection of questions was purely based on the linkage of the data being requested to the list of statistical indicators in the 'Strategy for the Development of Samoa 2008-2012' (SDS) and the 'Millennium Development Goals' (MDGs) 2015. All data requests outside of the two frameworks were put aside to be integrated in other more appropriate survey activities by the bureau.

From July 2010-December 2010, the questionnaire was formatted using the In-Design CS4 software. It is important to note that the PHC 2011 was the first ever census using the scanning technology to process data from the census questionnaires as a replacement of the usual manual data entry process. The scanning was pilot tested in April 2011, before it was finally used for final census enumeration.

The questionnaire was designed using A3 paper size.

The Population questionnaire was administered in each household, which collected various information on household members including age, sex, citizenship, disability, orphanhood, marital status, residence (birth, usual, previous), religion, education and employment.

In the Population questionnaire, a special section was administered in each household for women age 15-49, which also asked information on their children ever born still living, died or living somewhere else. Mothers of children under one year were also asked whether their last born children were still living at the time of the census.

The Housing questionnaire was also administered in each household which collected information on the types of building the household lived, floor materials, wall materials, roof materials, land tenure, house tenure, water supply, drinking water, lighting, cooking fuel, toilet facility, telephone, computer, internet, refrigerator, radio, television and others.

Cleaning operations

Data editing was done in several stages. 1. Office manual editing and coding 2. Automatic scanning data entry edits 3. Visual verification questionnaire edits 3. Structure checking and completeness 4. Structure checks of the CSPro data files Editing program can be enquired at the Division of IT and Data Processing at email address: info.stats@sbs.gov.ws

Sampling error estimates

The census is a full-coverage of the population, therefore it is not a sample where sampling errors can be estimated.

Data appraisal

There was no post-enumeration in the census 2011. One of the normal practices by the bureau to validate the total population counts from all villages, districts and regions of Samoa in any census is the manual count of the population in all areas during the on-going census enumeration.That information is collected by the enumerators and field supervisors during the enumeration using the Enumerators and Supervisors control forms. At the end of the enumeration, the control forms which mainly contained the number of males and females per enumeration area will be collected and compiled by the Census and Survey division as the first preliminary count of the census. In the census 2011, the preliminary population counts were compiled and launched as the 'Village Directory 2011' report after 4 weeks from end of the enumeration period.

The significance of the Village Directory report is it helps to provide a qiuick overall picture of the population growth and population distribution in all villages of the country relative to previous censuses. Most important of all is that the preliminary count will provide the basis for a decision whether a post-enumeration is warrant or otherwise. If the preliminary country is close to the projected population then the post-enumeration is assumed not worth the cost because it is expensive and it will delay all other census processes. In the census 2011, the preliminary count arrived at 186,340 which was more than the projected population of 184,032 as depicted in the Statistical Abstract 2009. Therefore the decision was made that post-enumeration was not worth it.

The UK's contribution of census data to the United Nations project, United Nations Questionnaires on Population and Housing Census.

Abstract

The 2011 census was the seventh national population and housing census of the country which was conducted on October 24, 2011 throughout Iran.

By providing correct statistics and information on the size, structure, and characteristics of Iran’s population, this census serves as an appropriate tool for the country’s planners, policymakers, and officials in the process of designing and implementing social, economic, and cultural programs. Furthermore, this census as one of the fundamental activities in the country’s statistical system provides essential frameworks for future in-depth analysis and surveys within the areas of population and household.

A total of almost 114,000 enumerators and trained supervisors and logistic staff participated in this national event which lasted from October 24 to November 13, 2011 in 31 provinces, 1,143 cities, and 96,459 settlements2; the census was the product of over two years of intense preparatory technical activities in the SCI in coordination with Iran’s executive institutions and General Governs. To gain assurance of appropriate implementation, two pilot censuses were conducted in 2009 (30 provinces) and 2010 (four provinces) and the questionnaires and the execution modalities and methods of the census were finalized and adopted by the National Census Committee based on the conclusion and lessons learnt from these two pilot studies.

Geographic coverage

National coverage

Analysis unit

Household

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The census forms are designed to collect items for different purposes. Four forms have been used in the 1390 Census: - Form 1. Listing - Form 2. The household Questionnaire - Form 3. The institutional Household Questionnaire - Form 4. Village Profile

Form 2 (the Household Questionnaire and Form 3 (The Institutional Household Questionnaire) Information on the private settled, private unsettled and collective households is collected through Form 2. Household Questionnaire and information on the institutional households through Form 3. Institutional Household Questionnaire. Due to the similarity between the two forms and their significance in the Census process their contents are reviewed and described in this part.

Cleaning operations

The data collected through each census or survey may be accompanied by some missing or inconsistent data. Such errors might be caused by the respondent’s wrong or inadequate response or during the data processing. Thus, to be centain about the consistency of the data produced, the Edit and Imputation Committee is established. This Committee, in addition to cleaning the data, is required to identify errors and to reduce them in the first stages of enumeration and to introduce instruments to achieve this purpose. Some of these instruments can be manpowers such as editing clerks in provinces and other instruments like machine-based editing.

The Committee should also apply some methods to identify quality data at the earliest time possible. The Committee’s objectives on the whole are: a. To analyse the topics and types of errors in previous censuses technically. b. To study the methods used in previous censuses, and the methods used in other countries in the past with a look at future. c. To determine the range of edit and imputation and to select the best and the most efficient methodology for Census Edit and Imputation.

Abstract copyright UK Data Service and data collection copyright owner. The Census 2011 Microdata Teaching File for England and Wales data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7605 and 7682, and below for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for England and Wales produced by the Office for National Statistics (ONS), drawn from data collected in the 2011 Census. The file was produced by ONS with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file is available from the ONS Census 2011 Microdata Teaching File webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the ONS site or via the UK Data Service Census Support webpages. Background to Census 2011 microdata products The safeguarded sample was identified as a key Census user requirement, highlighted as part of a report specifying microdata products from the 2011 Census written by an expert user, Dr. Jo Wathan from the University of Manchester. The purpose of a safeguarded sample of individuals is to be able to disseminate a detailed microdata file without onerous licensing conditions, by reducing the overall amount of detail compared to the secure samples. Whilst supplying sufficient detail on core variables to fulfil the intended aim of the microdata products, the safeguarded sample is a valuable multi-purpose research file that will be used on a wide range of projects. (For Censuses prior to 2011, these data may have been referred to as 'Samples of Anonymised Records', or SARSs.) In total, five microdata samples are proposed from the 2011 Census:one public, a Teaching File of individuals (this study, SN 7613);two safeguarded, one file of individuals at regional level (see SN 7605) and one at local authority level (see SN 7682);and two secure, one file of households and one of individuals.

Analysis unit

Persons, households, and dwellings Combines data from 2009-2013; includes overseas departments

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: A structure that is separate, completely enclosed by walls and partitions, without connecting with another unit unless this is by means of the shared parts of the building (corridor, staircase, lobby, etc.), and self-contained, with an entrance from which there is direct access to the outside or to the shared parts of the building, without having to go through another unit. - Households: All persons, not necessarily related, sharing the same main residence. A household can also be made up of a single person. Persons living in mobile dwellings, sailors, homeless persons, and persons living in collective dwellings are considered to be living outside households. - Group quarters: A community is a group of residential premises falling under the same managing authority and whose residents share a common mode of living. The community population includes those people who live in the community, with the exception of those who live in company accommodation. Community categories are: medium- or long-stay services of public or private health establishments; medium- and long-stay social establishments; retirement home and similar social residences; religious communities; military barracks, quarters, bases, or camps; student housing, including military teaching establishments; prisons; short-term social establishments, and other similar communities.

Universe

Residents of France, of any nationality. Does not include French citizens living in other countries, foreign tourists, or people passing through.

Sampling procedure

MICRODATA SOURCE: INSEE (Institut National de la Statisque et des Etudes Economiques)

SAMPLE SIZE (person records): 20541337.

SAMPLE DESIGN: "Rolling Census." Enumerated each year: one fifth of communes under 10,000 population (taken in their entirety); 8% of housing units sampled from communes of 10,000 or more population. Microdata are a 40% sample of persons in communes over 10,000 and a 25% sample for smaller communes. Weights are designed to describe the population in the median year of the dataset (2011).

Mode of data collection

Face-to-face [f2f]

Research instrument

Two separate forms, Feuille de logement and Bulletin individuel, were used to collect information on dwellings and individuals. Households in overseas departments and territories were enumerated using a slightly modified form.

Abstract

The 2011 Population and Housing Census is the third national Census to be conducted in Namibia after independence. The first was conducted 1991 followed by the 2001 Census. Namibia is therefore one of the countries in sub-Saharan Africa that has participated in the 2010 Round of Censuses and followed the international best practice of conducting decennial Censuses, each of which attempts to count and enumerate every person and household in a country every ten years. Surveys, by contrast, collect data from samples of people and/or households.

Censuses provide reliable and critical data on the socio-economic and demographic status of any country. In Namibia, Census data has provided crucial information for development planning and programme implementation. Specifically, the information has assisted in setting benchmarks, formulating policy and the evaluation and monitoring of national development programmes including NDP4, Vision 2030 and several sector programmes. The information has also been used to update the national sampling frame which is used to select samples for household-based surveys, including labour force surveys, demographic and health surveys, household income and expenditure surveys. In addition, Census information will be used to guide the demarcation of Namibia's administrative boundaries where necessary.

At the international level, Census information has been used extensively in monitoring progress towards Namibia's achievement of international targets, particularly the Millennium Development Goals (MDGs).

The latest and most comprehensive Census was conducted in August 2011. Preparations for the Census started in the 2007/2008 financial year under the auspices of the then Central Bureau of Statistics (CBS) which was later transformed into the Namibia Statistics Agency (NSA). The NSA was established under the Statistics Act No. 9 of 2011, with the legal mandate and authority to conduct population Censuses every 10 years. The Census was implemented in three broad phases; pre-enumeration, enumeration and post enumeration.

During the first pre-enumeration phase, activities accomplished including the preparation of a project document, establishing Census management and technical committees, and establishing the Census cartography unit which demarcated the Enumeration Areas (EAs). Other activities included the development of Census instruments and tools, such as the questionnaires, manuals and field control forms.

Field staff were recruited, trained and deployed during the initial stages of the enumeration phase. The actual enumeration exercise was undertaken over a period of about three weeks from 28 August to 15 September 2011, while 28 August 2011 was marked as the reference period or 'Census Day'.

Great efforts were made to check and ensure that the Census data was of high quality to enhance its credibility and increase its usage. Various quality controls were implemented to ensure relevance, timeliness, accuracy, coherence and proper data interpretation. Other activities undertaken to enhance quality included the demarcation of the country into small enumeration areas to ensure comprehensive coverage; the development of structured Census questionnaires after consultat.The post-enumeration phase started with the sending of completed questionnaires to Head Office and the preparation of summaries for the preliminary report, which was published in April 2012. Processing of the Census data began with manual editing and coding, which focused on the household identification section and un-coded parts of the questionnaire. This was followed by the capturing of data through scanning. Finally, the data were verified and errors corrected where necessary. This took longer than planned due to inadequate technical skills.

Geographic coverage

National coverage

Analysis unit

Households and persons

Universe

The sampling universe is defined as all households (private and institutions) from 2011 Census dataset.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Sample Design

The stratified random sample was applied on the constituency and urban/rural variables of households list from Namibia 2011 Population and Housing Census for the Public Use Microdata Sample (PUMS) file. The sampling universe is defined as all households (private and institutions) from 2011 Census dataset. Since urban and rural are very important factor in the Namibia situation, it was then decided to take the stratum at the constituency and urban/rural levels. Some constituencies have very lower households in the urban or rural, the office therefore decided for a threshold (low boundary) for sampling within stratum. Based on data analysis, the threshold for stratum of PUMS file is 250 households. Thus, constituency and urban/rural areas with less than 250 households in total were included in the PUMS file. Otherwise, a simple random sampling (SRS) at a 20% sample rate was applied for each stratum. The sampled households include 93,674 housing units and 418,362 people.

Sample Selection

The PUMS sample is selected from households. The PUMS sample of persons in households is selected by keeping all persons in PUMS households. Sample selection process is performed using Census and Survey Processing System (CSPro).

The sample selection program first identifies the 7 census strata with less than 250 households and the households (private and institutions) with more than 50 people. The households in these areas and with this large size are all included in the sample. For the other households, the program randomly generates a number n from 0 to 4. Out of every 5 households, the program selects the nth household to export to the PUMS data file, creating a 20 percent sample of households. Private households and institutions are equally sampled in the PUMS data file.

Note: The 7 census strata with less than 250 households are: Arandis Constituency Rural, Rehoboth East Urban Constituency Rural, Walvis Bay Rural Constituency Rural, Mpungu Constituency Urban, Etayi Constituency Urban, Kalahari Constituency Urban, and Ondobe Constituency Urban.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following questionnaire instruments were used for the Namibia 2011 Population and and Housing Census:

Form A (Long Form): For conventional households and residential institutions

Form B1 (Short Form): For special population groups such as persons in transit (travellers), police cells, homeless and off-shore populations

Form B2 (Short Form): For hotels/guesthouses

Form B3 (Short Form): For foreign missions/diplomatic corps

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: a) During data collection in the field b) Manual editing and coding in the office c) During data entry (Primary validation/editing) Structure checking and completeness using Structured Query Language (SQL) program d) Secondary editing: i. Imputations of variables ii. Structural checking in Census and Survey Processing System (CSPro) program

Sampling error estimates

Sampling Error The standard errors of survey estimates are needed to evaluate the precision of the survey estimation. The statistical software package such as SPSS or SAS can accurately estimate the mean and variance of estimates from the survey. SPSS or SAS software package makes use of the Taylor series approach in computing the variance.

Data appraisal

Data quality Great efforts were made to check and ensure that the Census data was of high quality to enhance its credibility and increase its usage. Various quality controls were implemented to ensure relevance, timeliness, accuracy, coherence and proper data interpretation. Other activities undertaken to enhance quality included the demarcation of the country into small enumeration areas to ensure comprehensive coverage; the development of structured Census questionnaires after consultation with government ministries, university expertise and international partners; the preparation of detailed supervisors' and enumerators' instruction manuals to guide field staff during enumeration; the undertaking of comprehensive publicity and advocacy programmes to ensure full Government support and cooperation from the general public; the testing of questionnaires and other procedures; the provision of adequate training and undertaking of intensive supervision using four supervisory layers; the editing of questionnaires at field level; establishing proper mechanisms which ensured that all completed questionnaires were properly accounted for; ensuring intensive verification, validating all information and error corrections; and developing capacity in data processing with support from the international community.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Any structure intended or used for human habitation - Households: A household is a group of persons who live together and provide themselves jointly with food or other essentials for living, or a single person who lives alone. - Group quarters: Living quarters where certain facilities are shared by groups of individuals or households. They can be divided into: (a) hotels, motels, guesthouses, etc.; (b) workers' hostels and students' residences; and (c) institutions.

Universe

All persons present in the country on the night of 9-10 October, 2011

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Statistics South Africa

SAMPLE SIZE (person records): 4418594.

SAMPLE DESIGN: Systematic stratified sample. 1 in 10 sample of household records classified as housing units or converted households, and an independent 1 in 10 sample of persons who resided in other living quarters. Local municipalities were the primary strata and demographic characteristics of persons within the household were used a secondary strata.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three separate questionnaires were used to enumerate the household population (form A), transient individuals and individuals staying in hotels on census night (form B), and the institutional population (form C).

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Structurally separate units with their own entrance from the street, or a stairwell in permanent buildings, that are suitable for residential purposes. Dwellings consist of one room or multiple rooms with ancillary rooms. It makes no difference whether a kitchen or kitchenette is present. - Households: All persons living in a dwelling or similar accommodation as their main residence form a private household. The size of the household therefore corresponds to the number of people with their main residence in the dwelling. Up to the 1991 Population Census, the housekeeping-unit concept was used, according to which all persons living together and jointly managing a household formed a private household. - Group quarters: An institutional household is an establishment that is used for the accommodation and care of a group of persons – normally over the longer term. The term covers boarding schools, student residences, senior citizen and nursing homes, monasteries, military barracks, penal institutions, refugee centres, facilities for disabled, socially deprived or homeless persons, homes for young people or trainees and similar institutions. In contrast to the 2001 Population Census, the 2011 register-based census also considers non-institutional forms of living together in collective living quarters (e.g. company accommodation, hotels, etc.) as institutional households.Solely main residence registrations are recorded. Because of secondary residence registrations, the actual occupancy of individual facilities may be higher.

Universe

Population with a main residence in the territory

Sampling procedure

MICRODATA SOURCE: Statistics Austria

SAMPLE SIZE (person records): 839501.

SAMPLE DESIGN: Systematic sample of every 10th private household after a random start; 100% data of institutional households; drawn by Statistics Austria

Mode of data collection

Face-to-face [f2f]

Research instrument

None: register-based census.

Abstract

The Census provides a unique source of detailed demographic, social and economic data relating to the entire population at a single point in time. The most fundamental questions it will answer concern the size and distribution of the entire population, the extent to which men and women participate in the economy, and the nature of housing and household facilities.

Our country is constantly changing and information collected will allow policy planners to measure the developments of our society and to make decisions about future needs of our communities. Emphasis for the CPD is on renewable energy. Government has set itself policy goals that by 2015, 50 percent of Cook Islands electricity demand will be provided by renewable energy and 100 percent in 2020. Culture has also been identified as a priority of Government.

The topic content of the 2011 Census has been driven principally by the demands and requirements of users of census statistics, the evaluation of the 2006 Census, and the priorities of the Government as stated in its manifesto, and the advice and guidance of organisations with experience of similar operations. These have been determined by extensive consultations with various Ministries of government and non government organizations (NGO).

The topics proposed for the census are those most needed by the major users of census information and questions have been devised to produce reliable and accurate data. In each case, no other comparable and accessible source of the information is available in combination with other items in the census.

In assessing which topics should be included in the census, Statistics Office has had to consider a number of factors. The criteria for evaluating the strength of users' requirements for information were that:

· there should be a clearly demonstrated and significant need · the information collected was of major national importance · users' requirements could not adequately be met by information from other sources · there should be a requirement for multivariate analysis (that is the ability to cross-analyze one variable against other), and · there should be consideration of the ability for comparison with the 2006 Census wherever possible

Geographic coverage

National coverage.

Analysis unit

-Household -Individual.

Universe

A Dwelling Questionnaire must be completed for every occupied dwelling as at midnight on Census Night. A Personal Questionnaire must be completed for each and every man, woman and child alive at midnight on Census Night within the geographical boundaries of the Cook Islands, excluding those persons on foreign vessels, yachts and aircraft flying through or stopping temporarily (transit).

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire which was published in English, can be found as External Resources.

The questionnaire of the early Cook Islands censuses was limited; they consisted oh head counts only. With the passage of time, the topics covered by the questionnaires expanded. Gradually, questions on sex, age, marital status, religion, education, employment, etc have been included. Questions on unpaid work and income earned were included for the first time in the 1996 Census. In the 2011 Census, questions on renewable energy and culture was included.

The questionnaire of the 2011 Census of Cook Islands is divided into 2 main forms: -Dwelling form: which covers topics like: Household characteristics, water supply, energy, toilet, tradition, communication & technology, waste management, involvment in agriculture, fishing, farming, equipment, transport. -Personal form: which covers topics like: Individual characteristics, disability, literacy and language, information & technology, education, economic activity, income, narcotics, cultural activities and fertility.

SELECTION OF TOPICS AND QUESTIONS: The topic content of the 2011 Census has been driven principally by the demands and requirements of users of census statistics, the evaluation of the 2006 Census, and the priority of government as stated in this Governments Manifesto, and the advice and guidance of organizations with experience of similar operations. These have been determined by extensive consultation with various Ministries of government and NGO's. Emphasis for this Census was on Renewable Energy and Cultural Statistics. Government had set itself a policy goal that 50 percent of its electricity demands to be provided by renewable energy in 2015 and 100 percent in 2020.

The 2011 Census questionnaire is designed to be machine readable that is questionnaires will be scanned.

Abstract copyright UK Data Service and data collection copyright owner. The Census 2011 Microdata Teaching File for Scotland data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7834 and 7835 for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for Scotland produced by National Records of Scotland (NRS), drawn from data collected in the 2011 Census. The file was produced by NRS with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file is available from the NRS Census 2011 Microdata Teaching File webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the NRS site or via the UK Data Service Census Support webpages. Main Topics: Topics covered include: age, economic activity, ethnicity, health, industry, marital status, occupation, religion, whether UK born. One-stage stratified or systematic random sample 1% sample of people in the 2011 Census output database for Scotland. Compilation or synthesis of existing material This teaching dataset has been created from the Census 2011 Scotland database, which was collected by postal survey and web-based survey.

The census is Canada's largest and most comprehensive data source conducted by Statistics Canada every five years. The Census of Population collects demographic and linguistic information on every man, woman and child living in Canada.The data shown here is provided by Statistics Canada from the 2011 Census as a custom profile data order for the City of Vancouver, using the City's 22 local planning areas. The data may be reproduced provided they are credited to Statistics Canada, Census 2011, custom order for City of Vancouver Local Areas.Data accessThis dataset has not yet been converted to a format compatible with our new platform. The following links provide access to the files from our legacy site: Census local area profiles 2011 (CSV) Census local area profiles 2011 (XLS) Dataset schema (Attributes)Please see the Census local area profiles 2011 attributes page. NoteThe 22 Local Areas is defined by the Census blocks and is equal to the City'​s 22 local planning areas and includes the Musqueam 2 reserve.Vancouver CSD (Census Subdivision) is defined by the City of Vancouver municipal boundary which excludes the Musqueam 2 reserve but includes Stanley Park. Vancouver CMA (Census Metropolitan Area) is defined by the Metro Vancouver boundary which includes the following Census Subdivisions: Vancouver, Surrey, Burnaby, Richmond, Coquitlam, District of Langley, Delta, District of North Vancouver, Maple Ridge, New Westminster, Port Coquitlam, City of North Vancouver, West Vancouver, Port Moody, City of Langley, White Rock, Pitt Meadows, Greater Vancouver A, Bowen Island, Capilano 5, Anmore, Musqueam 2, Burrard Inlet 3, Lions Bay, Tsawwassen, Belcarra, Mission 1, Matsqui 4, Katzie 1, Semiahmoo, Seymour Creek 2, McMillian Island 6, Coquitlam 1, Musqueam 4, Coquitlam 2, Katzie 2, Whonnock 1, Barnston Island 3, and Langley 5. In 2011 Statistics Canada replaced the "long form" census with a voluntary National Household Survey. The result of the survey will not be directly comparable with previous census data. In 2006 there were changes made to the definition of households. A number of Single Room Occupancy and Seniors facilities were considered to be dwellings in 2001, and collective dwellings in 2006. The City believes a similar change occurred on some properties between 2006 and 2011. This would explain why the numbers of "Apartments under 5 stories" has fallen in some locations.Note that for the first time in 2011, three language questions (knowledge of official languages, home language and mother tongue) were included on the census questionnaire that was administered to 100% of the population.Language data and analysis published for all censuses since 1996 have been based almost exclusively on responses from the long-form census questionnaire administered to 20% of the population. However, Statistics Canada has observed changes in patterns of response to both the mother tongue and home language questions that appear to have arisen from changes in the placement and context of the language questions on the 2011 Census questionnaire relative to previous censuses. As a result, Canadians appear to have been less inclined than in previous censuses to report languages other than English or French as their only mother tongue, and also more inclined to report multiple languages as their mother tongue and as the language used most often at home. Data currencyThe data for Census 2011 was collected in May 2011. Data accuracyStatistics Canada is committed to protect the privacy of all Canadians and the confidentiality of the data they provide to us. As part of this commitment, some population counts of geographic areas are adjusted in order to ensure confidentiality. Counts of the total population are rounded to a base of 5 for any dissemination block having a population of less than 15. Population counts for all standard geographic areas above the dissemination block level are derived by summing the adjusted dissemination block counts. The adjustment of dissemination block counts is controlled to ensure that the population counts for dissemination areas will always be within 5 of the actual values. The adjustment has no impact on the population counts of census divisions and large census subdivisions. Websites for further information Statistics Canada 2011 Census Dictionary Local area boundary dataset

Abstract

The Census of Agriculture & Fisheries (AGC 2011) is a national government operation geared towards the collection and compilation of statistics in the agriculture sector of the country. The collected data will constitute the bases from which policymakers and planners will formulate plans for the country's development.

The first Census of Agriculture (CoA) in the Cook Islands was conducted in 1988 and the second in 2000. Both censuses were supported technically by FAO. The Cook Islands also has a long history of population census taking at 5-yearly intervals in years ending in 1 and 6. Traditionally the Census of Population and Dwellings (CoPD) has included questions on agricultural activity at the household level, types of crops grown, livestock numbers, farm machinery and involvement in fishing and pearl farming activities. Section 3 of this report looks at data collected in the CoPD 2011 related to agricultural, fishing and pearl farming activities

Geographic coverage

National coverage.

Analysis unit

Household; Holding; Parcel; Individual.

Universe

The census covered all households, agricultural operators, agricultural establishments, fishing operators and pearl farmers.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The census of population and dwellings had 4 categories of agricultural activity, namely: subsistence only, commercial only, subsistence and commercial and no agriculture. For those engaged in agricultural activity a further breakdown was collected, namely: vegetables, fruit, flowers and other. The census of agriculture also had 4 categories but for crop growing only, namely, non-agricultural, minor agricultural, subsistence and commercial. The differences in these classifications and the types of agriculture included make comparisons difficult, however, it is useful to evaluate the two sets of data and draw conclusions as to the extent of agricultural activity in the cook islands from these two sources.

The questionnaires used for the census of agriculture 2000 and the census of population and dwellings 2006, related to agriculture, were reviewed and efforts made to avoid duplication. In particular, the question on the numbers of livestock kept by the household was dropped from the census of population and dwellings as this data was being collected in the census of agriculture. Likewise, information on machinery and equipment was dropped from the census of agriculture as this was being collected in the census of population and dwelling. Questions on the extent of involvement in agricultural activity at the household level were maintained in both censuses as was the extent of involvement in fishing and pearl farming. This provided a useful coverage check for the census of agriculture, in particular, although it was noted that there were definitional differences between the two censuses especially related to flower cultivation which was considered an agricultural activity in the census of population and dwellings but not in the census of agriculture. At the individual level, data on labour inputs was recorded in the census of agriculture by age and sex but other data at the individual level has then to be obtained through linkages to the census of population and dwellings through the person and household number.

The household questionnaire was administered in each household, which collected various information on levels of agricultural activity, holdings detail (including name of operator, total area, number of separate parcels, location), crops currently growing and/or harvested (including crops currently growing, total area, number of plants,crops planted and/or harvested, total area, number of plants), proportion of income from agriculture, loans for agriculture purposes, fertilizers, agricultural chemicals, improved varieties, other selected activities during the last 12 months (including bee keeping, hydroponic, floriculture, handicrafts), traditional methods on food storage and planting, travelling with locally grown food, water usage

In addition to a household questionnaire, questions were administered in each household for holding which collected various information on holding iidentification, parcel details during the lasts 12 months (including location, area, land tenure, land use, months used), scattered plants/trees (including number of plants), labour input for persons 15 years and over working during the last month (including sex, age, status, type, average hours worked per week, wages per month, benefits and other paid job)

In addition to a holding questionnaire, questions were administered for parcels which collected various information (during the last 12 months) on plot details (including proportion to parcel area, crops grown, method of planting, number of plants and proportion for sale), crops planted and harvested (including area harvested, number of plants and proportion for sale)

In addition to a household questionnaire, questions were administered in each household for livestock which collected various information on type and number of livestock, type of operation, nature of disposal during the last 12 months (including kind of livestock, number disposed (including home use, feast/gifts, sold, slaughtered, live)

In addition to a household questionnaire, questions were administered in each household for fishing which collected various information on household members engaged, main purpose of fishing activity, household members (including average hours spent per week), details of fishing activities (including forms of fishing, number of people fishing, location, average number of fishing trips, average hours per fishing trip), boat details (including type of boat, length, engine), proportion of fish caught/collected and sold, proportion consumed

In addition to a household questionnaire, questions were administered in each household for pearl farming which collected various information (during the last 12 months) on farming details (including farm lines, spat collector lines, spat details, number of farm shells, labour input (including person number, sex, age, status, type, average hours worked per week, wages per month, benefits received, other paid job) , boat operation (including times used per week), type of equipment and facility, number of times per week, number owned, hired, borrowed), shelling details, proportion of income, loan details

The questionnnaires, that were developed in English, contain was divided into 5 forms: -Household Form: Levels of agricultural activity, List of agricultural holdings, Crops, Income from agricultural activities, Loans, Fertilizers, Other relevant questions. -Holding Form: Parcel details, Scattered plants/trees, Labour inputs. -Parcel Form: Number of sepearate plots, Plot details, Crops. -Livestock Form: Livestock details, Type of operation, Nature of disposal. -Fishing & Pearl Farming Form: Fisheries activities details, Pearl farm information, Labour inputs, Boats and other equipment used, Other relevant information.

Cleaning operations

The length and complexity of the census of agriculture forms made the exercise much more time consuming and virtually all records had to be edited. The data capture and data cleaning exercise for the census of agriculture took the best part of 12 months, including the adjustments following the re-enumeration of Aitutaki. Tabulation also proved to be challenging because of the need for considerable internal computation of areas and numbers of plants. The final database was then split up into a number of smaller databases designed for each set of tables. The tabulation was done using Microsoft EXCEL and ACCESS

In interpreting the results of the census of agriculture, account needs to be taken of the fact that households classified as having no agricultural or fishing activities in the census of population and dwellings were excluded from the census of agriculture, especially on Rarotonga. Other definitional differences between the two censuses should also be noted. The census of population and dwellings defined agricultural activity as crops, livestock and floriculture whereas the ensus of agriculture definition was primarily crops. Livestock and poultry raising was treated separately in the census of agriculture and flower growing was only included in the census of agriculture if it was a commercial activity or was carried out in conjunction with food crop activities.

Abstract

Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation. The Post-Apartheid South African government has conducted three Censuses, in 1996, 2001 and 2011.

Geographic coverage

The South African Census 2011 has national coverage.

Analysis unit

Households and individuals

Universe

The South African Census 2011 covered every person present in South Africa on Census Night, 9-31 October 2011 including all de jure household members and residents of institutions.

Kind of data

Census/enumeration data

Sampling procedure

The sampling frame for the PES was the complete list of Census 2011 EAs, amounting to 103 576 EAs. The primary sampling units (PSUs) were the Census EAs. The principle for selecting the PES sample is that the EA boundaries for sampled EAs should have well defined boundaries, and these boundaries should correspond with those of Census EAs to allow for item-by-item comparison between the Census and PES records. The stratification and sampling process followed will allow for the provision of estimates at national, provincial, urban (geography type = urban) and non-urban (geography type = farm and traditional) levels, but estimates will only be reliable at national and provincial levels. The sample of 600 EAs was selected and allocated to the provinces based on expected standard errors which were based on those obtained in PES 2001. Populations in institutions (other than Workers' Hostels), floating and homeless individuals were excluded from the PES sample.

The data files in the dataset include Household, Person, and Mortality files. The 10% sample for the Mortality data file was sampled separately and is not the same as the 10% sample for Household file and Person file.

Mode of data collection

Face-to-face

Research instrument

Three sets of questionnaires were developed for Census 2011: 1. Questionnaire A - the household questionnaire - administed to the population in a household set-up including those households that were found within an institution, such as staff residences 2. Questionnaire B - the population in transit (departing) and those on holiday on reference night (9/10 October 2011). The homeless were also enumerated using this set of questions 3. Questionnaire C - the institutions questionnaire administered to the population in collective living quarters (people who spent census night 9/10 October 2011 at the institution)

A Post-Enumeration Survey was carried out after the census, which used a PES questionnaire.

Sampling error estimates

Comparison of Census 2011 with previous Censuses requires alignment of the data to 2011 municipal boundaries Questions on disability asked in former censuses were replaced in census 2011 with General health and functioning questions. Misreporting on general health and functioning for children younger than five years means data for this variable are only profiled for persons five years and older.

Data appraisal

The dataset does not have a code list for the “geotype” variable which has 3 values (1,2,3).

Abstract

Agriculture plays an important role in India's economy. It provides gainful employment to a large section of population of the country, particularly, the rural population. It contributes to the socio-cultural development of the farming community. The land holding provides them the confidence and strength to stay and survive in the society. In view of the importance of agriculture, Government of India has been conducting comprehensive Agriculture Censuses for collection of data on structure and characteristics of agricultural holdings, as part of World Census of Agriculture Programme since 1970-71. Operational holding, being the basic unit of decision-making in agriculture, detailed data on structure of agricultural holdings and its characteristics are necessary for formulation of any meaningful and effective strategy for agricultural development.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the operational holding, defined as an entity comprising all land that is used wholly or partly for agricultural production and is operated as one technical unit by one person alone or with others, without regard to the title, legal form, size or location. A technical unit was defined as the unit that is under the same management and has the same means of production, such as labour force, machinery, animals, credit, etc. The operated area includes both cultivated and uncultivated area, provided that a part of it is put to agricultural production during the reference period.

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Sampling design For the collection of data in the Agriculture Census, an approach of Census-cum-sample survey has been adopted. Various States in the country have been grouped in to two categories i.e. land record States and non-land record States. Those States where comprehensive land records are maintained giving information on land and its utilization, cropping pattern etc are called land record States and those States where such information is not maintained in the form of land-records are called nonland record States. In land record States data on Agriculture Census is pooled for all the parcels of an operational holding irrespective of its location. However, for operational convenience the outer limit for pooling is restricted to taluka. This pooling is done for each operational holder in the village of his residence. In the non-land record States the data is collected through sample survey following household enquiry approach in 20% of villages in each block. In these selected villages, all the operational holdings are enumerated following household enquiry approach.Thus in land record States no sampling is resorted to for data collection for the number and area of operational holdings and in nonland record States sampling of villages in each block/taluka is resorted to

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used, one for each of the three phases of the census:

· Phase I questionnaire, for collecting data on number and area of operational holdings, according to the prescribed size classes2 for different social groups,3 types of holdings' and gender.

· Phase II questionnaire, for collecting data on: (i) dispersal of holdings; (ii) tenancy and terms of leasing; (iii) land utilization; (iv) irrigation status and source-wise area irrigated; (v) cropping pattern

· Phase III questionnaire, for collecting additional data.

The AC 2011 questionnaires covered 12 items of the 16 core items recommended for the WCA 2010 round. The exceptions were: (i) "Presence of aquaculture on the holding" (ii) "Other economic production activities of the holding's enterprise" (iii) "Number of animals on the holding for each livestock type" (iv) "Presence of forests and other woodland on the holding"

See questionnaire in external materials.

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING In-house software was developed for data entry and processing of census data. Data entry, data validation and error correction, the generation of trial tables, and the generation of final tables and their examination by states or UTs took place according to the three phases of the census. All questionnaires were manually scrutinized by the statistical staff before they were submitted for data entry. Data are archived at tehsil level and are available in the public domain. The data entry and processing software included checks of census data for inconsistencies and mismatch.

Data appraisal

Census data are compiled at the national and tehsil level. The All India Report of Agriculture Census 2010-2011 is based on the data collected during Phase-II of the Census. The detailed data of AC 2010/2011 results are available on the website of the Department of Agriculture, Cooperation & Farmers' Welfare.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Structure intended for human accommodation, stay (home) or converted into dwelling and also suitable for living at present. A group of technically (architecturally) adjoining places that is suitable for accommodation for the whole year. It has which has a separate entrance from a public place, courtyard or from a collectively used place inside the building (staircase, corridor etc.) - Households: An economic unit including family members studying or working away from home as well, together forming and economic community of productive and dependent persons. - Group quarters: Premises or premise groups providing collective accommodation and certain boarding for five or more persons, irrespective of whether there were persons living and boarding there at the reference date of the census. Among others, student hostels, infants' and children's home, workers' homes, hospitals, residential social institutions, hotels, boarding houses and campsites, holdiay houses owned by corporations and institutions, as well as prisons, etc. belong to this category.

Universe

All Hungarian citizens and foreign citizens staying in Hungary for more than three months (excluding members of foreign dimplomatic corps and their family members) living om private and group quarters.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Hungarian Central Statistical Office

SAMPLE SIZE (person records): 496762.

SAMPLE DESIGN: 5% simple random sample drawn by the Hungarian Central Statistical Office.

Mode of data collection

Face-to-face [f2f]

Research instrument

Possible to do fill in a census form via the internet. Self respone, or direct enumeration. There is a household questionnaire, a person questionnaire, and institutional building's and household questionnaire.

Abstract copyright UK Data Service and data collection copyright owner. The Census 2011 Microdata Teaching File for Northern Ireland data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7769 and 7770 for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for Northern Ireland produced by Northern Ireland Statistics and Research Agency (NISRA), drawn from data collected in the 2011 Census. The file was produced by NISRA with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file and is available from the NISRA 2011 Census Microdata Teaching File webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the NISRA site or via the UK Data Service Census Support webpages. Main Topics: Topics covered include: age, economic activity, ethnicity, health, industry, marital status, occupation, religion, whether UK born. One-stage stratified or systematic random sample Compilation or synthesis of existing material This teaching dataset has been created from the Census 2011 Northern Ireland database, which was collected by postal survey and web-based survey.

Abstract

The Nauru Population and Housing Census 2011 is funded by UNFPA and AusAID. Technical assistant was provided by the SPC/SDP from Noumea. The Census night took place on 30th October 2011 at 12 midnight. The fieldwork was scheduled to complete in 2 weeks and the final schedule was given 1-2 weeks extension time for supervisor's editing of forms.

Geographic coverage

• National
• District
• Enumeration area
• Household members

Analysis unit

Region/EA Identity Household questionnaire Person questionnaire

Universe

The survey covered all de jure household members (usual residents), all household, all population, all age, all sex, all nationality

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not applicable to a full enumeration census

Sampling deviation

Not applicable to a full enumeration census

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing

Response rate

96%

Sampling error estimates

Not applicable to a full enumeration census

Data appraisal

Data quality tables are available to review the quality of the data and include the following:

Table H1. District by Type of building Table H2. District by Materials of Outerwalls Table H3. District by Period building first constructed Table H4. District by type of tenure Table H5A. District by Number of household rooms Table H5B. District by Number of household dining rooms Table H5C. District by Number of household kitchen Table H5D. District by Number of household total rooms Table H6. District by Shared bathroom Table H7. District by Shared kitchen Table H8A. District by Materials of roofing Table H8B. District by Roofing condition Table H9A. District by Materials of guttering Table H9B. District by Condition of guttering Table H10A. District by Materials for downpipe Table H10B. District by Condition for downpipe Table H11. District by Downpipe connected to storage Table H12. District by Main source of drinking water Table H13. District by Main source of water in general Table H14. District by Water storage capacity Table H15. District by Material of water storage Table H16. District by water availability during 'dry' periods Table H17. District by household sharing main water supply Table H18. District by Source of water when scarce Table H19A. District by purpose of underground water usage Table H19B. District by Abstraction of underground water usage Table H20. District by Main toilet facility Table H21. District by Toilet flushed with water sources Table H22. District by Toilet flushed drainage system type Table H23A.District by items working order (For sustaining quality of life) Table H23B. District by items working order (ICT and communications) Table H23C. District by items working order (Commercial or subsistence value) Table H24. District by Main source of lighting Table H25. District by main fuel for cooking Table H26. District by main source of electricity Table H27. District by Household subsistence activities Table H28. District by household have a kitchen garden Table H29. District by Agricultural Activities Table H30. District by Livestock Table H31. District by Cash Inflow during last three months Table H32. District by any household member died last 3 years

Table 1 . Total Households and Population by District Nauru:2011 Table 2. District by Broad Age Group and P2. Sex, Nauru:2011 Table 3. Population by single age by sex, Nauru:2011 Table 4. Population by District and 5 year age group and sex, NAURU:2011 Table 5. Population by District, Relationship to head of household by sex, NAURU:2011 Table 6 . Population by 5 year age group, and relationship to head of household by sex, NAURU:2011 Table 7. Population by District and Religion, Nauru:2011 Table 8. Population by religion, 5 year age group,Nauru:2011 Table 9. Population by district by country of birth, Nauru:2011 Table 10. Population by country of birth, 5 year age group and sex, Nauru:2011 Table 11. Population by district, whether mother still alive and living in the household, Nauru:2011 Table 12. Population by district and whether father is still alive, Nauru:2011 Table 13. Population by district, marital status and sex, Nauru:2011 Table 14. Population by 5 year age group, marital status and sex, Nauru:2011 Table 15. Population by district, mothers local tribe and sex, Nauru:2011 Table 16. Population by 5 year age group, mothers local tribe and sex, Nauru:2011 Table 17. Population by district, whether married to a Nauruan and sex, Nauru:2011 Table 18. Population by 5 year age group whether married to Nauruan and sex, Nauru:2011 Table 19. Population by district, nationality and sex, Nauru:2011 Table 20. Population by 5year age group, nationality and sex, Nauru:2011 Table 21. Population by district, citizenship and sex Table 22. Population by 5 year age group, citizenship and sex, Nauru:2011 Table 23. Population by district and difficulties, Nauru:2011 Table 24. Male population by district and difficulties, Nauru:2011 Table 25. Female population by district and difficulties, Nauru:2011 Table 26. Population by 5 year age group and difficulties, Nauru:2011 Table 27. Male Population by 5 year age group and difficulties, Nauru:2011 Table 28. Female Population by 5 year age group and difficulties, Nauru:2011 Table 29. Population by district, currently attending school and sex, Nauru:2011 Table 30. Popualtion 15 years and over, school attendace and sex, Nauru:2011 Table 31. Population 15 years and over by district , type of education institution attending, Nauru:2011 Table 32. Population 15 years and over by type of education institution attending and sex, Nauru:2011 Table 33. Population 15 years and over by highest qualification completed and sex, Nauru:2011 Table 34. Population 15 years and over by main activity and sex, Nauru:2011 Table 35. Population 15 years and over by labour force participation and sex, Nauru:2011 Table 36. Female population aged 15 years and over ever given birth, Nauru:2011 Table 37. Female population aged 15 years and over by total Children ever born Table 38. Female population aged 15 years and over by total male born, Nauru:2011 Table 39. Female population aged 15 years and over by total female born, Nauru:2011 Table 40. Female population aged 15 years and over and total children ever born, Nauru:2011 Table 41. Female population aged 15 years and over and total male ever born, Nauru:2011 Table 42. Female population aged 15 years and over and total female ever born, Nauru:2011

Abstract

Jamaica conducted its Fourteenth Census of Population and Housing in 2011. Under the provisions of the Statistics Act, the Statistical Institute of Jamaica (STATIN) is vested with the authority to conduct any census in Jamaica. The census plays an essential role in all elements of the national statistical system, including the economic and social components. Census statistics are used as benchmarks for statistical compilation or as a sampling frame for household sample surveys. The national statistical system of almost every country relies on sample surveys for efficient and reliable data collection. Without the sampling frame derived from the population and housing census, the national statistical system would face difficulties in providing current reliable official statistics.

While recognizing the importance of the census however, countries are faced with serious resource constraints. Census taking in Jamaica faces not only the challenge of limited resources but an apathetic public which views official data collection with suspicion and even hostility. Despite a vibrant publicity programme for Census 2011, the level of cooperation particularly in some urban centres was disappointing. Worker attitude also presented problems as in a number of cases workers had to be relieved of their duties due to poor and or unproductive work. There was not always sufficient recognition of the fact that remuneration was for work done.

Geographic coverage

National coverage

Analysis unit

• Individuals;
• Household.

Universe

The 2011 census, like all since 1943, was conducted on a 'de jure' basis. The 'de jure' count includes all persons, Jamaicans and non-Jamaicans whose usual place of residence was in Jamaica even if they were temporarily (less than six months) abroad at the time of the census.

The following groups were excluded: (i) All Jamaicans (including diplomatic personnel) who were away from the country for six months or more; (ii) All visitors to Jamaica who are usual residents of other countries; and (iii) All foreign diplomatic personnel located in Jamaica.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The census design included a Post Enumeration Survey planned as a coverage assessment tool. The Post Enumeration Survey was conducted during the period September 7-30, 2011 in all parishes and covered a 5 per cent sample of census EDs. A total of 286 EDs were eventually canvassed.

Jamaica was divided into 5,776 geographic units called enumeration districts (EDs) for the purpose of data collection during the 2011 Population and Housing Census. Each ED is an independent unit which shares common boundaries with contiguous EDs. The number of dwellings/households contained in the ED (estimated before the census) was the primary determination of the size of an ED. This was approximately 150 dwellings/households in urban areas and 100 in rural areas. Each ED was designed to be of a size that would ensure an equitable work load for each census taker, and because dwellings are more widely spaced in rural areas than in urban areas, rural EDs usually contained fewer dwellings/households than their urban counterpart. When grouped together, enumeration districts reconstitute larger divisions; special area, constituency and the parish.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire was developed for use in the census to collect information from individuals and one for households. The topics included on the census questionnaire were as follows:

Individual: - Age - Sex - Relationship to Head of Household - Religious Affiliation - Ethnic origin - Marital and Union Status - Educational Attainment - Physical and Mental Limitations - Birthplace and Residence - Training - Economic Activity and Social Welfare - Fertility - Transportation - Information and Communication Technology.

Household: - Type of Unit - Material of outer walls - Material of Roofing - Number of rooms - Tenure of Land and Dwelling - Availability and Type of Kitchen, Bathroom and Toilet Facilities - Method of Disposal of Solid Waste - Source of Water for Domestic Use - Source of Drinking Water - Type of Lighting - Type of Fuel used for Cooking - Availability of Telephone and other Communication Devices and facilities - Migration and Mortality.

Cleaning operations

The data collecting method utilised was the "interviewer Method" One census taker was assigned to each enumeration district (to be defined) to list every building in the area assigned. Where the building was found to be the living quarters of an individual or a group of individuals the form was completed for each household and each person. Each census taker worked with a household form and an individual form. Consideration was also given to the enumeration of persons who live in institutions as well as persons who were located on the streets and this was taken into account in the design.

The processing of the census returns is a massive undertaking for which STATIN sought to utilize modern technology for this phase. The data processing of the questionnaires was out-sourced to XSOMO International Ltd., who was required to produce the electronic data in a database format and images of the questionnaires. Scanning of the forms which began in June 2011 ended on January 31, 2012. The data editing and cleaning were done using software developed internally and shared via the intranet. The validity and consistency checks which followed have been completed for those variables which have been included in this report. A full and clean database, from which tables on all census topics will be produced, is expected by December 2012.