The Spatial Data from the 2011 India Census contains gridded estimates of India population at a resolution of 1 kilometer along with two spatial renderings of urban areas, one based on the official tabulations of population and settlement type (statutory town, outgrowth, census town), and the second, remotely-sensed measures of built-up land derived from the Global Human Settlement Layer. This data set includes a constructed hybrid representation of the urban settlement continuum by cross-classifying the census and remotely-sensed data.

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

The dataset contains the primary census abstract of homeless people in the district level population. The data is of the 2011 census. Note: Primary census abstract It is the information from census that is divided into several categories like, number of males in population, number of females in population etc.

Language Highlight Tables, Population by mother tongue and age groups, census subdivisions with 5,000+ population, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Floating population; "other" households

UNIT DESCRIPTIONS: - Households: Person or persons related or unrelated, living together and taking food from the same kitchen.

Universe

Everyone who spent the night of March 14-15 in Bangladesh.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Bangladesh Bureau of Statistics

SAMPLE DESIGN: Systematic Sample of every 10th dwelling with a random start, drawn by Bureau of Statistics.

SAMPLE UNIT: Dwelling

SAMPLE FRACTION: 5%

SAMPLE SIZE (person records): 7,205,720

Mode of data collection

Face-to-face [f2f]

Research instrument

Long and short enumeration forms.

Response rate

UNDERCOUNT: No information available

Language Highlight Tables, Population by mother tongue and age groups, census subdivisions with 5,000+ population, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

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

Census of population and housing refers to the entire process of collecting, compiling, evaluating, analyzing, and publishing data about the population and the living quarters in a country. It entails the listing and recording of the characteristics of each individual person and each living quarter as of a specified time and within a specified territory. It is the source of information on the size and distribution of the population as well as its demographic, social, economic, and cultural characteristics. These information are vital for making rational plans and programs for national and local development.

In April 2011, a national census of population and housing was conducted in the Republic of the Marshall Islands (RMI). It is the 11th census of population to be undertaken in this century since the first census was undertaken in 1920.

The 2011 Census of Population and Housing is designed to take an inventory of the total population and housing units in the RMI and to collect information about their characteristics. The census of population is the source of information on the size and distribution of the population as well as information about the demographic, social, economic and cultural characteristics. The census of housing, on the other hand, provides information on the supply of housing units, their structural characteristics and facilities which have bearing on the maintenance of privacy, health and the development of normal family living conditions. These information are vital for making rational plans and programs for social and economic development.

v1.0: Edited data, for internal use only.

COVER RECORD - contains the total number of persons per household including the number of males and females. This record also contains coverage information such as completed dwellings, completed institutions and non-responses.

HOUSING RECORD - contains all household level questions such as household level discriptors.

AGRICULTURE RECORD - contains all agriculture items tallied at the household level.

PERSON RECORD - contains all person level items

• Collection start: 2011
• Collection end: 2011

Language Highlight Tables, Population by language spoken most often and regularly at home, census divisions, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

A map showing the Population Density per Hectare in the City of Peterborough from the 2006 Statistics Canada Census Data.Size: 11" x 17"Colour: Full ColourFormat: PDF

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 copyright UK Data Service and data collection copyright owner.

The aim of this project was to create a synthetic dataset without using the original (secure, controlled) dataset to do so, and instead using only publicly available analytical output (i.e. output that was cleared for publication) to create the synthetic data. Such synthetic data may allow users to gain familiarity with and practise on data that is like the original before they gain access to the original data (where time in a secure setting may be limited).

The Annual Survey of Hours and Earnings 2011 and Census 2011: Synthetic Data was created without access to the original ASHE-2011 Census dataset (which is only available in a secure setting via the ONS Secure Research Service: "Annual Survey of Hours and Earnings linked to 2011 Census - England and Wales"). It was created as a teaching aid to support a training course "An Introduction to the linked ASHE-2011 Census dataset" organised by Administrative Data Research UK and the National Centre for Research Methods. The synthetic dataset contains a subset of the variables in the original dataset and was designed to reproduce the analytical output contained in the ASHE-Census 2011 Data Linkage User Guide.

Variables available in this study relate to synthetic employment, earnings and demographic information for adults employed in England and Wales in 2011.

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

Household and person/individual

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 - Form C: For recording Emigrant characteristics

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.

Abstract

The 2011 Mauritius Housing & Population Census will be carried out by the Central Statistics Office in two distinct rounds: the Housing Census from 31 January 2011 to June 2011 followed by the Population Census from 20 June to 31 July 2011 in respect of all persons alive on the night of 3 - 4 July 2011. The main objective of the Housing and Population census is to provide up-to-date and disaggregated data on the housing conditions, the spatial distribution, and the demographic and socio-economic characteristics of the Mauritian population.

Geographic coverage

National

Analysis unit

• Household;
• Indivudual.

Universe

The Housing Census will enumerate all buildings, housing units, households, commercial and industrial establishments, hotels and boarding houses as well as fruit trees of bearing age on residential premises.

The Population Census will enumerate all persons present on census night in all households and communal establishments, as well as usual residents who are away on census night.

Housing and population enumerations will be conducted in the islands of Mauritius, Rodrigues and Agalega.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Census 2011, like the four previous ones, was taken in two distinct rounds: the Housing Census followed by the Population Census four months later. This enumeration procedure was adopted in order to obtain at the Housing Census a list of names and addresses of heads of households which served as frame for the Population Census.

Mode of data collection

Face-to-face [f2f]

Research instrument

4.1 Questionnaire design The questionnaire type, format and contents were determined on the basis of the following factors:

Data to be collected Data collected were in line with UN recommendations and, in addition, catered for local data needs.

Method of enumeration For Census 2011, the questionnaires were completed by enumerators who carried out field interviews.

Data capture and processing techniques The office used scanning and recognition technology for census data capture directly from the questionnaires.

4.2 Contents of questionnaire The questionnaire contents were determined as follows: (i) The data needs of main stakeholders from Government Ministries and Departments were considered. As from 2008, heads of Government Ministries and Departments were invited via a circular letter to submit their requirements for demographic, social and economic data considered essential for administration, planning and policy-making and which could be collected at the census. Topics were retained after considering: - their usefulness to the country; - the cost for data collection and processing - where it is possible by other means to obtain satisfactory information more cheaply, the topic was not selected; and - their suitability for data collection at a Census - sensitive and controversial issues as well as questions that are too complicated or difficult for the average respondent to answer were avoided. (ii) The concepts and questions used for the previous census were examined for relevance and only those found relevant were kept. (iii) The latest “Principles and Recommendations for Population and Housing Censuses” were reviewed to determine whether to add questions or to modify existing questions. (iv) The questions thus arrived at were tested during a pilot census conducted in September 2010. In the light of observations made on the field, some changes were made to the wording and sequence of the questions and a final set of questions adopted. 4.2.1 The Housing Census questionnaire The Housing Census questionnaire covered all topics and items covered at Census 2000; some new items were added for the reasons given in the column “Remarks”.

The questionnaire was designed to cover 1 housing unit, up to two households, up to three planters and 1 commercial/industrial establishment, guest house or tourist residence. More than one questionnaire was used in other cases.

4.2.2 The Population Census questionnaire The 2011 Population Census questionnaire included the topics covered at the 2000 Population Census except that on income. Questions were added on National Identity number of each person as well as on residence for the reasons mentioned in the column “Remarks”.

4.3 Questionnaire layout and size The layout and design of response areas was done to ensure optimum conditions for data capture through scanning and recognition technology. The layout was also influenced by the cost (the number of pages had to be kept to a minimum to cut down on paper, printing and scanning costs) while at the same time ensuring ease of recording the answers on the field.

Cleaning operations

The quality of information collected depends not only on the training of field workers, but also on the day-to-day control and supervision of the fieldwork. Supervisors had to accompany each of their Enumerators in the first visits to ensure that interviews were done according to instructions given and that all concepts were clearly understood. Surprise and pre-arranged field checks as well as re-interviews also helped to increase the reliability of the information collected. Furthermore, Supervisors had to check all completed questionnaires at the early stage of enumeration and later a sample of the completed questionnaires to ensure that the quality of work was satisfactory. Meetings were held regularly to take stock of the field situation and to solve problems met on the field.

All supervisory staff had to record their field activities in provided diaries. The day-today record outlined the activities carried out, the dates and the places at which the activities were carried out, problems encountered and remedial actions taken. The day-to-day recording of activities allowed supervisory staff to follow the progress of work and to assess the performance of each and every staff working under their supervision. Furthermore, it ensured that supervisory control prevailed all along the fieldwork.

Central Statistics Office (CSO) publishes the Census 2011 results as interactive tables, compiled reports, community profiles, population maps and boundary files.

The data shows for each state/union territory the area, population by gender and population by urban/rural.

Note: The area figures of States and U.T's do not add up to area of India because : (i) The shortfall of 7 square km. area of Madhya Pradesh and 3 square km. area of Chhattisgarh is yet to be resolved by the Survey of India. (ii) Disputed area of 13 square km. between Pondicherry and Andhra Pradesh is neither included in Pondicherry nor in Andhra Pradesh. For All India: 1) The population figures excludes population of the area under unlawful occupation of Pakistan and China where Census could not be taken. 2) Area figures includes the area under unlawful occupation of Pakistan and China. The area includes 78,114 sq.km. under illegal occupation of Pakistan, 5,180 sq. km.illegally handed over by Pakistan to China and 37,555 sq.km. under illegal occupation of China.

The dataset contains state and district wise population categorised based on the place of birth and sex of people

Abstract

National population and housing census 2011 (NPHC2011), marks a hundred years of census taking in Nepal. Nepal has been conducting population censuses almost decennially and the census 2011 is the eleventh. The first population census was conducted in 1911 A.D. (1968 B.S.). However, the census conducted in 1952/54 is considered to be the first modern census of Nepal introducing internationally comparable concepts, definitions and classifications. Computer processing was introduced for the first time in 1971 census using IBM 1401. NPHC 2011 carries special features of having scientific questionnaires, detailed EA maps for urban and Village Development Committees (VDC) maps for rural areas, ever most inclusive field staff, extensive publicity, independent observance by civil society, most economic operation based on domestic resources and most reliable data processing.

Geographic coverage

National

Analysis unit

• Household;
• Individual.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Census questionnaires (Listing form, Individual form-1, Individual form-2), enumeration and other manuals, EA maps were major tools used to conduct field enumeration. Complete list of households was prepared during May and June 2011, a month before the main census. Listing schedule contains questions on number of house, households, household members by sex, agricultural land operated and livestock owned by households and operation of small scale nonagricultural activities. Individual Form-1 contains questions on types of house, household facilities/assets, ownership of the house or land of female members of the household, mortality and its causes and details of absent members of households. Also, included in the form-1 are name, surname, relationship to head, sex, age, caste/ethnicity, marital status and age at first marriage, religion, mother tongue and second language, citizenship, type of disability, literacy and level of education. However, questions on migration, fertility, labour force, occupation, industry, employment status and living arrangement of children (under the age 16) were asked under form-2 to every eighth household selected systematically.

Cleaning operations

Keeping in mind the quality of the data processing operation and the capacity of CBS to undertake, it has been decided to source out the operation as it was done in 2001 census. Nevertheless, processing site and the computers were provided to the contractor so that both quality and confidentiality lie strictly under the control of CBS. Manuals of coding, editing and key entry operation were prepared, training and key entry operation were monitored and supervised by the core team of the CBS. Despite delay in awarding the contract, the whole operation was completed in six months from the date the contract was signed. Approximately, six hundred processing staff plus experts were engaged in coding, editing, key entry operation and verification.

CSPro, an integrated software developed for data entry, editing, verification and tabulation by US Bureau of Census was used for data processing (Key entry, editing and verification). However, CSPro, SPSS and STATA are used for tabulations. Range and consistency checks were done thoroughly during the processing operation. The captured data were further cleaned with the assistance of international experts. New classifications of occupation and industry were prepared based on ISOC and ISIC (Rev. 4). Similarly, classifications of caste/ethnicity, religion and language were prepared based on the recommendations of the academicians and subject matter specialists.

Origin-destination statistics providing estimates on the movement of usual residents who are migrants, movements between home and workplace, and students, for local authorities in the United Kingdom.

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.

Version 1.0 Edited and cleaned data set; not anonymized; for internal use only.

The scope of the Population and Household Census includes:
- HOUSEHOLD: List of household member, Household characteristics, household appliances, water and sanitation, security of tenure and durability of housing, taro plantantions, livestock and poultry
- PERSON: Individual characteristics, education, occupation, usual residence, mass media, internet, health, reproduction

• Collection start: 2011
• Collection end: 2011