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

The 2000 Republic of Palau Census of Population and Housing was the second census collected and processed entirely by the republic itself. This monograph provides analyses of data from the most recent census of Palau for decision makers in the United States and Palau to understand current socioeconomic conditions. The 2005 Census of Population and Housing collected a wide range of information on the characteristics of the population including demographics, educational attainments, employment status, fertility, housing characteristics, housing characteristics and many others.

Geographic coverage

National

Analysis unit

• Household;
• Individual.

Universe

The 1990, 1995 and 2000 censuses were all modified de jure censuses, counting people and recording selected characteristics of each individual according to his or her usual place of residence as of census day. Data were collected for each enumeration district - the households and population in each enumerator assignment - and these enumeration districts were then collected into hamlets in Koror, and the 16 States of Palau.

Kind of data

Census/enumeration data [cen]

Sampling procedure

No sampling - whole universe covered

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2000 censuses of Palau employed a modified list-enumerate procedure, also known as door-to-door enumeration. Beginning in mid-April 2000, enumerators began visiting each housing unit and conducted personal interviews, recording the information collected on the single questionnaire that contained all census questions. Follow-up enumerators visited all addresses for which questionnaires were missing to obtain the information required for the census.

Cleaning operations

The completed questionnaires were checked for completeness and consistency of responses, and then brought to OPS for processing. After checking in the questionnaires, OPS staff coded write-in responses (e.g., ethnicity or race, relationship, language). Then data entry clerks keyed all the questionnaire responses. The OPS brought the keyed data to the U.S. Census Bureau headquarters near Washington, DC, where OPS and Bureau staff edited the data using the Consistency and Correction (CONCOR) software package prior to generating tabulations using the Census Tabulation System (CENTS) package. Both packages were developed at the Census Bureau's International Programs Center (IPC) as part of the Integrated Microcomputer Processing System (IMPS).

The goal of census data processing is to produce a set of data that described the population as clearly and accurately as possible. To meet this objective, crew leaders reviewed and edited questionnaires during field data collection to ensure consistency, completeness, and acceptability. Census clerks also reviewed questionnaires for omissions, certain inconsistencies, and population coverage. Census personnel conducted a telephone or personal visit follow-up to obtain missing information. The follow-ups considered potential coverage errors as well as questionnaires with omissions or inconsistencies beyond the completeness and quality tolerances specified in the review procedures.

Following field operations, census staff assigned remaining incomplete information and corrected inconsistent information on the questionnaires using imputation procedures during the final automated edit of the data. The use of allocations, or computer assignments of acceptable data, occurred most often when an entry for a given item was lacking or when the information reported for a person or housing unit on an item was inconsistent with other information for that same person or housing unit. In all of Palau’s censuses, the general procedure for changing unacceptable entries was to assign an entry for a person or housing unit that was consistent with entries for persons or housing units with similar characteristics. The assignment of acceptable data in place of blanks or unacceptable entries enhanced the usefulness of the data.

Sampling error estimates

Human and machine-related errors occur in any large-scale statistical operation. Researchers generally refer to these problems as non-sampling errors. These errors include the failure to enumerate every household or every person in a population, failure to obtain all required information from residents, collection of incorrect or inconsistent information, and incorrect recording of information. In addition, errors can occur during the field review of the enumerators' work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires. To reduce various types of non-sampling errors, Census office personnel used several techniques during planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.

Census staff implemented several coverage improvement programs during the development of census enumeration and processing strategies to minimize under-coverage of the population and housing units. A quality assurance program improved coverage in each census. Telephone and personal visit follow-ups also helped improve coverage. Computer and clerical edits emphasized improving the quality and consistency of the data. Local officials participated in post-census local reviews. Census enumerators conducted additional re-canvassing where appropriate.

Post-Enumeration Survey estimates of net coverage error and components of census coverage for the 2020 Census.

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.

Abstract copyright UK Data Service and data collection copyright owner.

To measure population change in a variety of English rural areas between 1851 and 1881, with emphasis on marriage and fertility.
Main Topics:

Variables
Complete enumeration of population of four rural areas in 1851, 1861, 1871, 1881. Variables include sex, marital status, relationship to head of household, occupation, birthplace.

Abstract

The Census is the official count of population and dwellings in Tonga, providing a ‘snapshot’ of the society and its most precious resource, its people, at a point in time. The official reference period of the census was midnight, the 30th of November, 2006.

The census provides a unique source of detailed demographic, social and economic data relating the entire population at a single point in time. Census information is used for policy setting and implementation, research, planning and other decision-making. The census is often the primary source of information used for the allocation of public funding, especially in areas such as health, education and social policy. The main users of this information are the government, local authorities, education facilities (such as schools and tertiary organizations), businesses, community organizations and the public in general.

The 2006 Census was taken under the authority of Section 8 of Statistical Act Chap. 53 of 1978 which empowers the Minister of Finance to make regulations necessary to conduct the population Census. This regulation was approved by the Cabinet and cited as Census Regulation 2006. The Census regulations also indicate that the Government Statistician would be responsible for the administration and completion of the Census. In addition, the regulations enabled the Statistics Department to carry out the necessary activities required to plan, manage and implement all the necessary Census activities.

Census planning and management

From a planning and management perspective, the Census had two main objectives. Firstly, it was to ensure that the process of collecting, compiling, evaluating, analyzing and disseminating of demographic, economic and social data was conducted in a timely and accurate manner. The development of procedures and processes for the 2006 Census of Population and Housing made use of the lessons learned in previous censuses, and built upon recommendations for improvements.

Secondly, it was a valuable opportunity for building the capacities of employees of the Statistics Department (SD), thus resulting in enhancing the image, credibility and reputation of the Department and at the same time, strengthening its infrastructure. Emphasis was placed on having a senior staff with a wide perspective and leadership qualities. Through the use of vision, planning, coordination, delegation of responsibility and a strong team spirit, the census work was conducted in an effective and efficient manner. Staffs at all levels were encouraged to have an innovative mindset in addressing issues. Incentives for other parties to participate, both within Statistics Department Tonga Tonga 2006 Census of Population and Housing viii and outside the government, were encouraged. As a result, the wider community including donors such as AusAID, the Secretariat of the Pacific Community (SPC) in Noumea, that provided the technical assistance and the general public, were able to support the census project.

Extensive and detailed planning is needed to conduct a successful census. Areas that required planning include: enumeration procedures and fieldwork, public communication, data processing and output systems, mapping and the design of census block boundaries, dissemination procedures, content determination and questionnaire development and training. These aspects, and how they interacted with each other, played a crucial role in determining the quality of all of the census outputs. Each phase therefore required careful, methodical planning and testing. The details of such activities, and their implementation and responsibilities were assigned to 5 subcommittees composed of staff members of the SD.

Organizational structure of the Census

A census organizational structure is designed to implement a number of interrelated activities. Each of these activities was assigned to a specific sub-committee. The census manuals provided guidelines on processes, organizational structures, controls for quality assurance and problem solving. The challenge for managers was developing a work environment that enabled census personnel to perform all these tasks with a common goal in mind. Each sub-committee was responsible for its own outputs, and specific decisions for specific situations were delegated to the lowest level possible. Problem situations beyond the scope of the sub-committee were escalated to the next higher level.

The organizational structure of the census was as follows: a) The Steering Committee (consisting of the Head of both Government and nongovernment organizations), chaired by Secretary for Finance with the Government Statistician (GS) as secretary. b) The Census Committee (consisted of all sub-committee leaders plus the GS, and chaired by the Assistant Government Statistician (AGS) who was the officer in charge of all management and planning of the Census 2006 operations. c) There were five Sub-committees (each sub-committee consisted of about 5 members and were chaired by their Sub-committee leader). These committees included: Mapping, Publicity, Fieldwork, Training and Data Processing. In this way, every staff member of the SD was involved with the census operation through their participation on these committees.

The census steering committee was a high level committee that approved and endorsed the plans and activities of the census. Policy issues that needed to be addressed were submitted to the steering committee for approval prior to the census team and sub-committees designation of the activities necessary to address the tasks.

Part of the initial planning of the 2006 Census involved the establishment of a work-plan with specific time frames. This charted all activities that were to be undertaken and, their impact and dependencies on other activities. These time frames were an essential part of the overall exercise, as they provided specific guides to the progress of each area, and alerted subcommittees’ team leaders (TL) to areas where problems existed and needed to be addressed. These also provided the SD staff with a clear indication of where and how their roles impacted the overall Census process.

Monitoring of the timeframe was an essential part of the management of the Census program. Initially, weekly meetings were held which involved the GS, AGS and team leaders (TL) of the Census committee. As the Census projects progressed, the AGS and TL’s met regularly with their sub-committees to report on the progress of each area. Decisions were made on necessary actions in order to meet the designated dates. Potential risks that could negatively affect the deadlines and actions were also considered at these meetings.

For the 5 sub-committees, one of their first tasks was to verify and amend their terms of reference using the “Strengths, Weaknesses, Opportunities and Threats” (SWOT) analysis methodology, as it applied to past censuses. Each committee then prepared a work-plan and listed all activities for which that particular sub-committee was responsible. This listing included the assignment of a responsible person, together with the timeline indicating the start and end dates required to complete that particular activity. These work-plans, set up by all the 5 sub-committees, were then used by the AGS to develop a detailed operational plan for all phases of the census, the activities required to complete these phases, start and end dates, the person responsible and the dependencies, - all in a Ghant chart format. These combined work-plans were further discussed and amended in the Census team and reported to the Steering committee on regular basis as required.

Geographic coverage

National coverage, which includes the 5 Divisions and both Urban and Rural Areas of Tonga.

Analysis unit

Individual and Households.

Universe

All individuals in private and institutional households.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The National Population Census was a complete enumeration census, hence no sampling procedure was employed. A Mapping Sub-committee was formed to ensure complete coverage of the country.

The Mapping Sub-committee

Led by Mr. Winston Fainga'anuku, this committee's mandate was to ensure that good quality maps were produced. The objective was to ensure that the maps provided complete coverage of the country, were designed to accommodate a reasonable workload of one census enumerator and, that geographic identifiers could be used for dissemination purposes by the PopGIS system. Collaborations with the Ministry of Land, Survey and Natural Resources (MLSNR) began in 2004 to ensure that digitized maps for Tonga could be used for 2006 Census. Mr. Fainga'anuku was attached to the MLSNR in April 2005 to assist 'Atelea Kautoke, Samuela Mailau, Lilika and others to complete the task of digitizing the maps for Tonga. In addition, frequent visits by Mr. Scott Pontifex from the Secretariat of the Pacific Community (SPC) in Noumea, assisted to ensure that quality digitized maps were prepared. SPC also assisted by lending its digitizer which was used in this mapping project. The staff of the Statistics Department (SD) visited household sites throughout Tongatapu and the main outer islands. This exercise was to redesign the Census Block boundaries by amalgamating or splitting existing census blocks to achieve an average of 50 households per census block. Various updates within the census block maps were made. These included the names of the head of household; roads and other landmarks to ensure that current and accurate information was provided to the enumerators. Reliable maps, both for enumerators and supervisors are necessary ingredients to assist in avoiding any under or over - counting during

The 1950 Census population schedules were created by the Bureau of the Census in an attempt to enumerate every person living in the United States on April 1, 1950, although some persons were missed. The 1950 census population schedules were digitized by the National Archives and Records Administration (NARA) and released publicly on April 1, 2022. The 1950 Census enumeration district maps contain maps of counties, cities, and other minor civil divisions that show enumeration districts, census tracts, and related boundaries and numbers used for each census. The coverage is nation wide and includes territorial areas. The 1950 Census enumeration district descriptions contain written descriptions of census districts, subdivisions, and enumeration districts.

Abstract copyright UK Data Service and data collection copyright owner.

The aim of this project was to investigate the working population of Downham, an agricultural fen parish in north Cambridgeshire, using information derived from the census enumerators' books for 1851 and 1891. This project originated as part of the course of study for Open University Course DA301 (Studying family and community history: nineteenth and twentieth centuries).
Main Topics:

The data consist of a partial transcription of the 1851 and 1891 census enumerators' books for Downham, Cambridgeshire.
The variables are: enumeration district; folio number; schedule number; address; surname; relationship to head of household; marital status; gender; age; occupation; employment status (1891 only); place of birth; birth county or country; disabilities (1891 only).

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

On 14th June 2016, the Central Statistics Office (CSO) released the Preliminary Report for Census 2016. The preliminary results are the initial count of the census. They are based on the summary counts for each enumeration area which were compiled by the 4,663 census enumerators and which have been returned to the CSO in advance of the census forms themselves. Further detailed results will be released in different phases as they become available during 2017, commencing with the Principal Demographic Results

X Not applicable.1. For the national table, someone who should have been counted is considered a correct enumeration if he or she was enumerated anywhere in the United States..2. More precisely, enumerated in the search area for the correct basic collection unit. For definitions of basic collection unit and search area, see PES Reports..3. Other reasons include fictitious people, those born after April 1, 2020, those who died before April 1, 2020, etc..4. These imputations represent people from whom we did not collect sufficient information. Their records are included in the census count..5. This number is the PES estimate of people who should have been counted in the PES household universe. It does not include people in group quarters or people living in the Remote Alaska enumeration areas..6. Omissions are people who should have been correctly enumerated in the United States household population, but were not. Many of these people may have been accounted for in the whole-person census imputations above..7. A negative (positive) estimate of net coverage error indicates an undercount (overcount)..Note: Estimates are rounded for disclosure avoidance. As a result, counts may not sum to totals shown..Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (March 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

This dataset contains enumeration area level data for the following topics: census families, culture, demography, dwellings, economics, households, and income.

Census counts are rounded. As a result, counts may not sum to totals shown..A negative (positive) estimate of net coverage error indicates an undercount (overcount)..Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (May 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

Abstract

The Zimbabwe Multiple Indicator Cluster Survey (MICS) was conducted between February and April in 2014 by the Zimbabwe National Statistics Agency (ZIMSTAT). Technical and financial support for the survey was coordinated by the United Nations Children’s Fund (UNICEF).

The MICS is designed to provide statistically sound and internationally comparable data essential for developing evidence-based policies and programmes and for monitoring progress towards national goals and global commitments, to enhance the welfare of women and children. Among these global commitments are those emanating from the World Fit for Children Declaration and Plan of Action, the goals of the United Nations General Assembly Special Session on HIV/AIDS (UNGASS), the Education for All Declaration (EFA) and the Millennium Development Goals (MDGs). The Zimbabwe MICS 2014 results are critical for final MDG reporting in 2015, and are expected to form part of the baseline data for the post-2015 era. The MICS plays a critical role in informing national policies such as the Zimbabwe Agenda for Sustainable Socio-Economic Transformation (ZimASSET) October 2013 to December 2018. The study covers the following areas: sample and survey methodology, sample coverage and the characteristics of households and respondents, child mortality, child nutrition, child health, water and sanitation, reproductive health, early childhood development, literacy and education, child protection, HIV and sexual behaviour, mass media and information and communication technology, and tobacco and alcohol use.

The Zimbabwe MICS is a nationally representative survey of 17,047 households, comprising 14,408 women in the 15-49 years age group, 7,914 men age 15-54 years and 10,223 children under 5 years of age. The sample allows for the estimation of some key indicators at the national, provincial and urban/rural levels. A two stage, stratified cluster sampling approach was used for the selection of the survey sample.

Geographic coverage

National

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all men aged between 15-54 years and all children under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the 2014 Zimbabwe MICS was to produce statistically reliable estimates of most indicators, at the national level, for urban and rural areas, and for the ten provinces of the country namely: Manicaland, Mashonaland Central, Mashonaland East, Mashonaland West, Matabeleland North, Matabeleland South, Midlands, Masvingo, Harare and Bulawayo. Urban and rural areas in each of the ten provinces were defined as the sampling strata.

A two-stage, stratified sampling approach was used for the selection of the survey sample.

The sample size for the 2014 Zimbabwe MICS was 17,068 households. For the calculation of the sample size the key indicator used was the birth registration.

The number of households selected per enumeration area/cluster for the 2014 Zimbabwe MICS was determined as 25 households, based on a number of considerations, including the design effect, the budget available, and the time that would be needed per team to complete one cluster. Dividing the total number of households by the number of sample households per cluster, it was calculated that 683 sample clusters would need to be selected nationwide.

Power allocation of the total sample size to the ten provinces was used. In total, 683 clusters were allocated to the ten provinces, with the final sample size calculated as 17 075 households (683 cluster*25 sample households per cluster). In each province, the clusters (primary sampling units) were distributed to the urban and rural domains proportionally to the number of urban and rural households in that province. The table below shows the allocation of clusters to the sampling strata. Of the 683 clusters, one cluster in Masvingo Province could not be covered due to floods which affected the Tokwe Mukosi area. Effectively, (682) clusters were covered during data collection.

The 2012 population census frame was used for the selection of clusters. Census enumeration areas were defined as primary sampling units (PSUs), and were selected from each of the sampling strata by using systematic sampling with probability proportional to size (PPS) sampling procedures the measure of size being the number of households in each enumeration area from the 2012 Population Census frame.

The first stage of sampling was thus completed by selecting the required number of enumeration areas from each of the ten provinces by urban and rural strata.

Since the sampling frame (the 2012 population census) was not up-to-date, a new listing of households was conducted in all the sample enumeration areas prior to the selection of households. Enumerators visited all of the selected enumeration areas and listed all households in each enumeration area. Two hundred enumerators were engaged in the listing operation and each enumerator covered a minimum of three clusters during the listing operation. The household listing operation involves three main steps: locating each cluster, preparing the location and sketch maps of each cluster, and the listing of all households found in each cluster. In some cases, segmentation was required for clusters with 300 or more households. The complete listing of large EAs is not cost effective. For that reason, large EAs were subdivided into smaller segments of which only one was selected and listed. Upon arrival in a large EA that may need segmentation, the enumerator first toured the EA and did a quick count to get the estimated number of households in the EA. The MICS standard recommends that each EA with 300 or more households should be subdivided into 2 or 3 segments. Where possible, the segments were roughly of equal size. However, it was important to adopt segment boundaries that were easily identifiable.

The second stage sampling procedure involved the selection of households after the listing operation. Lists of households and sketch maps were prepared by the listers/mappers in the field for each enumeration area. The households were then sequentially numbered from 1 to n (the total number of households in each enumeration area) at the provincial offices, where the selection of 25 households in each enumeration area was carried out using a household selection template.

The survey also had a questionnaire for men that was administered in every third household in each sampled cluster for interviews with all eligible men.

The sampling procedures are more fully described in "Zimbabwe Multiple Indicator Cluster Survey 2014 - Final Report" pp.333-335.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS5 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes household information panel, listing of household members, education, child discipline for children 1-14 years of age, household characteristics, water and sanitation, handwashing, indoor residual spraying, use of Insect Treated Nets (ITNs), and salt iodisation.

In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49, men age 15-49 and children under age five. The questionnaire was administered to the mother or primary caretaker of the child.

The women's questionnaire includes woman's information panel, her background characteristics, fertility, birth history, desire for last birth, maternal and newborn health, maternal mortality, postnatal care, marriage/union, illness symptoms, attitudes towards domestic violence, access to mass media and use of information communication technology, tobacco and alcohol use, contraception, unmet need, sexual behaviour, and knowledge on HIV and AIDS.

The men's questionnaire includes man's information panel, his background characteristics, fertility, marriage/union, attitudes towards domestic violence, access to mass media and use of information communication technology, tobacco and alcohol use, sexual behaviour, circumcision and knowledge on HIV and AIDS.

The children's questionnaire includes children's characteristics, birth registration, early childhood development, breastfeeding and dietary intake, care of illness, immunisation and anthropometry.

The questionnaires are based on the MICS5 model questionnaire. From the MICS5 model English version, the questionnaires were customised and translated into Chichewa and Tumbuka and were pre-tested in Kasungu district during October 2013. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.

In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for handwashing, and measured the weights and heights of children age under 5 years. Details and findings of these observations and measurements are provided in the respective sections of the report.

Cleaning operations

Data were entered into the computers using the Census and Surveys Processing System (CSPro) software package, Version 5.0. The data were entered on 32 desktop computers by 42 data entry operators and nine data entry supervisors. For quality assurance purposes, all

On 14th June 2016, the Central Statistics Office (CSO) released the Preliminary Report for Census 2016. The preliminary results are the initial count of the census. They are based on the summary counts for each enumeration area which were compiled by the 4,663 census enumerators and which have been returned to the CSO in advance of the census forms themselves. Further detailed results will be released in different phases as they become available during 2017, commencing with the Principal Demographic Results

The 2001 census enumerated both de-facto and de-jure populations. It was intended that all information would be collected during an enumeration period of one week, the week from 11th October 2001. Census night for individual households was the night of 11 October 2001. Given the transport difficulties between Apia and Tokelau, and within Tokelau, and in order to restrict the enumeration period to less than one week, 9 interviewers were involved.

It is also obvious that in the conduct of a statistical operation as large and complex as a national census (even for Tokelau), it is inevitable that errors will occur due to questions being misunderstood, replies being incorrect or misinterpreted, etc. In fact, errors could have been introduced at all stages of the census, from planning, field operation stage, non-responses, non-call back to check on households that were missed during the actual enumeration and the training of enumerators (i.e. misunderstanding on the part of enumerators). Also errors could have been introduced at the data processing stage (editing, coding and data entry). In designing and carrying out the field procedures, including training procedures, efforts were made to reduce the effects of such errors on the results. However, it is clear that several errors still occurred.

Version 01: Cleaned, labelled and de-identified version of the Master file.

-HOUSEHOLD: Household characteristics, sanitation, water access, energy, waste disposal, household durables, remittances.
-INDIVIDUAL: Individual characteristics, religion, ethnicity, education, economic activities, fertility.

• Collection start: 2001
• Collection end: 2001

Abstract

The programme for the World Census of Agriculture 2000 is the eighth in the series for promoting a global approach to agricultural census taking. The first and second programmes were sponsored by the International Institute for Agriculture (IITA) in 1930 and 1940. Subsequent ones up to 1990 were promoted by the Food and Agriculture Organization of the United Nations(FAO). FAO recommends that each country should conduct at least one agricultural census in each census programme decade and its programme for the World Census of Agriculture 2000 for instance corresponds to agricultural census to be undertaken during the decade 1996 to 2005. Many countries do not have sufficient resources for conducting an agricultural census. It therefore became an acceptable practice since 1960 to conduct agricultural census on sample basis for those countries lacking the resources required for a complete enumeration.

In Nigeria's case, a combination of complete enumeration and sample enumeration is adopted whereby the rural (peasant) holdings are covered on sample basis while the modern holdings are covered on complete enumeration. The project named “National Agricultural Sample Census” derives from this practice. Nigeria through the National Agricultural Sample Census (NASC) participated in the 1970's, 1980's, 1990's programmes of the World Census of Agriculture. Nigeria failed to conduct the Agricultural Census in 2003/2004 because of lack of funding. The NBS regular annual agriculture surveys since 1996 had been epileptic and many years of backlog of data set are still unprocessed. The baseline agricultural data is yet to be updated while the annual regular surveys suffered set back. There is an urgent need by the governments (Federal, State, LGA), sector agencies, FAO and other International Organizations to come together to undertake the agricultural census exercise which is long overdue. The conduct of 2006/2008 National Agricultural Sample Census Survey is now on course with the pilot exercise carried out in the third quarter of 2007.

The National Agricultural Sample Census (NASC) 2006/08 is imperative to the strengthening of the weak agricultural data in Nigeria. The project is phased into three sub-projects for ease of implementation; the Pilot Survey, Modern Agricultural Holding and the Main Census. It commenced in the third quarter of 2006 and to terminate in the first quarter of 2008. The pilot survey was implemented collaboratively by National Bureau of Statistics.

The main objective of the pilot survey was to test the adequacy of the survey instruments, equipments and administration of questionnaires, data processing arrangement and report writing. The pilot survey conducted in July 2007 covered the two NBS survey system-the National Integrated Survey of Households (NISH) and National Integrated Survey of Establishment (NISE). The survey instruments were designed to be applied using the two survey systems while the use of Geographic Positioning System (GPS) was introduced as additional new tool for implementing the project.

The Stakeholders workshop held at Kaduna on 21st-23rd May 2007 was one of the initial bench marks for the take off of the pilot survey. The pilot survey implementation started with the first level training (training of trainers) at the NBS headquarters between 13th - 15th June 2007. The second level training for all levels of field personnels was implemented at headquarters of the twelve (12) concerned states between 2nd - 6th July 2007. The field work of the pilot survey commenced on the 9th July and ended on the 13th of July 07. The IMPS and SPSS were the statistical packages used to develop the data entry programme.

Geographic coverage

State

Analysis unit

Household based of fish farmers

Universe

The survey covered all de jure household members (usual residents), who were into fish production

Kind of data

Census/enumeration data [cen]

Sampling procedure

The survey was carried out in 12 states falling under 6 geo-political zones. 2 states were covered in each geo-political zone. 2 local government areas per selected state were studied. 2 Rural enumeration areas per local government area were covered and 3 Fishing farming housing units were systematically selected and canvassed .

Sampling deviation

There was deviations from the original sample design

Mode of data collection

Face-to-face [f2f]

Research instrument

The NASC fishery questionnaire was divided into the following sections: - Holding identification: This is to identify the holder through HU serial number, HH serial number, and demographic characteristics. - Type of fishing sites used by holder. - Sources and quantities of fishing inputs. - Quantity of aquatic production by type. - Quantity sold and value of sale of aquatic products. - Funds committed to fishing by source and others

Cleaning operations

The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and CSPro for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise. The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data. The completed questionnaires were collated and edited manually (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry (b) Cspro was used to design the data entry template provided as external resource (c) Ten operator plus two suppervissor and two progammer were used (d) Ten machines were used for data entry (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd

Response rate

Both Enumeration Area (EA) and Fish holders' level Response Rate was 100 per cent.

Sampling error estimates

No computation of sampling error

Data appraisal

The Quality Control measures were carried out during the survey, essentially to ensure quality of data

Z Represents or rounds to zero.Percent is out of the total census count excluding people in group quarters and people in Remote Alaska enumeration areas..Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (March 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

Z Represents or rounds to zero.DSE: Dual-system estimate.A negative (positive) estimate of net coverage error indicates an undercount (overcount)..Standard errors are in parentheses below the estimate..Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (August 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

X Not applicable.1. For the national table, a housing unit is considered a correct enumeration if it was enumerated anywhere in the United States..2. For definitions of the surrounding basic collection unit and search area, see PES Reports..3. Other reasons include group quarters, nonresidential (e.g., commercial, uninhabitable) or nonexistent (e.g., vacant lots, demolished, burned down)..4. This number is the PES estimate of housing units that should have been included in the PES housing unit universe. It does not include group quarters or housing units in the Remote Alaska enumeration areas..5. Omissions are housing units that should have been correctly enumerated in the United States but were not..6. A negative (positive) estimate of net coverage error indicates an undercount (overcount)..Note: Estimates are rounded for disclosure avoidance. As a result, counts may not sum to totals shown..Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (August 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

Analysis of ‘Census 2016 Preliminary Results’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/72178122-88ff-45c4-a67d-699a8fda7542 on 14 January 2022.

--- Dataset description provided by original source is as follows ---

On 14th June 2016, the Central Statistics Office (CSO) released the Preliminary Report for Census 2016. The preliminary results are the initial count of the census. They are based on the summary counts for each enumeration area which were compiled by the 4,663 census enumerators and which have been returned to the CSO in advance of the census forms themselves. Further detailed results will be released in different phases as they become available during 2017, commencing with the Principal Demographic Results

--- Original source retains full ownership of the source dataset ---