{"type":"survey","doc_desc":{"title":"MUS_2000_PHC_v01_M","idno":"DDI_MUS_2000_PHC_v01_M","producers":[{"name":"Abdool Sariff Mungralee","abbreviation":"ASM","affiliation":"Statistics Mauritius","role":"Documentation of the Metadata"},{"name":"Accelerated Data Program","abbreviation":"ADP","affiliation":"International Household Survey Network","role":"Editing for the IHSN Survey Catalog"}],"prod_date":"2011-09-20","version_statement":{"version":"Version 01: Adopted from \"DDI_MUS_2000_HPC_v01_M\" DDI that was done by metadata producers mentioned in \"Metadata Production\" section."}},"study_desc":{"title_statement":{"idno":"MUS_2000_PHC_v01_M","title":"Population Census 2000","alt_title":"PHC 2000"},"authoring_entity":[{"name":"Statistics Mauritius","affiliation":"Ministry of Finance and Economic Development"}],"production_statement":{"funding_agencies":[{"name":"Govenment of Mauritius","abbreviation":"GoM","role":"Funding the census"}]},"distribution_statement":{"contact":[{"name":"Statistician, Census Unit","affiliation":"Statistics Mauritius","email":"cso@mail.gov.mu","uri":"http:\/\/statsmauritius.gov.mu"}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen]","series_info":"Census taking in Mauritius dates back to the 18th Century. The first complete census for the Island of Mauritius, then known as Isle de France, was taken in 1735 under the governorship of Mah\u00e9 de Labourdonnais. Since then, numerous complete censuses or partial counts of the population have been made. However, the first census report to be printed was probably that of 1846. The 1846 census was followed by another one in 1851. Since then, and up to 1931, censuses have been taken every ten years. With the outbreak of the Second World War, the one due in 1941 had to be postponed to 1944. The first census after the War was taken in 1952, and the ten-yearly programme was subsequently resumed with a census taken in 1962 and another one in 1972. The one scheduled for 1982 was postponed to 1983 because of the 1982 parliamentary elections. The following census which was due in 1993 was advanced to 1990 to satisfy an urgent need for up-to-date data, particularly on the economic characteristics of the population. Census 2000 was the seventeenth for the Island of Mauritius and the seventh for the Island of Rodrigues."},"version_statement":{"version":"v0.2: Final anonymised dataset for public use","version_date":"2001-08-31"},"study_info":{"topics":[{"topic":"Disability","vocab":"World Bank","uri":""},{"topic":"Education","vocab":"World Bank","uri":""},{"topic":"Primary Education","vocab":"World Bank","uri":""},{"topic":"Secondary Education","vocab":"World Bank","uri":""},{"topic":"Tertiary Education","vocab":"World Bank","uri":""},{"topic":"Vocational Education","vocab":"World Bank","uri":""}],"abstract":"A census gives a complete and comprehensive picture of the nation as well as groups of people living in specific areas.  In what type of buildings and housing units are we living?  What are the amenities and facilities that are available therein? How many rooms are there and what is the extent of overcrowding?  How many people live in a given town or locality?  How many children are there? How many women are there?  How many are old enough to vote?  What kind of jobs are we doing?  What is our level of education? Do we have the required qualifications or skills to satisfy the needs of the labour market?  The census helps to answer these questions and many others.\n\nIt provides up-to-date and disaggregated data on the housing conditions, the spatial distribution, and the demographic and socio-economic characteristics of the population.  These data are essential for assessing the country's demographic, social and economic performance and for developing sound policies and programmes aimed at fostering the welfare of the country and its population.  \n\nCensus data are also useful to business, industrial and commercial organisations to estimate and forecast demand for their products and services, and to assess the supply of manpower with the relevant skills to run their activities.\n\nFurthermore, census data are used in the derivation of many important and meaningful social indicators that are needed by local and international organizations. Thus, many social indicators, as defined in the set of indicators recommended by the United Nations Statistics Division, can only be worked out from census data.\n\nLegal framework\nCensus 2000 was conducted according to provisions of the Statistics Act of 7 April 1951. The underlying procedures are given in Sections 5, 6 and 13 of the Act.\nIn March 1998, the Cabinet agreed to the conduct of a housing and population census in year 2000. In June 1999, it gave its approval to the census dates and to the topics to be investigated.\nThe regulations for the Housing Census, prescribing the particulars and information to be collected, were subsequently prepared and approved by the President in November 1999. The regulations were published as Government Notice 170 of 1999.\nIn December 1999, the President made an order to the effect that a census of the population be taken between 19 June and 16 July 2000 in respect of all persons alive at midnight on 2 July 2000. The Order was gazetted in December 1999.\nThe regulations for the Population Census, prescribing the particulars and information to be collected were approved by the President in April 2000 and published as Government Notice 57 of 2000.","time_periods":[{"start":"2000-07-02","end":"2000-07-03","cycle":"midnight - Population Census"}],"coll_dates":[{"start":"2000-02-07","end":"2000-06-18","cycle":"Housing Census"},{"start":"2000-06-19","end":"2000-07-16","cycle":"Population Census"}],"nation":[{"name":"Mauritius","abbreviation":"MUS"}],"geog_coverage":"Housing and population enumerations were conducted on the Islands of Mauritius, Rodrigues and Agalega.  As regards St Brandon islands, only a count of persons spending census night on the islands was made, these islands being fishing stations with no resident population.","analysis_unit":"- Household\n- Individual\n- Housing unit","universe":"The Housing Census enumerated all buildings, housing units, households, commercial and industrial establishments, hotels and boarding houses as well as fruit trees of bearing age on residential premises.\n\nThe Population Census enumerated all persons present on census night in all households and communal establishments, as well as usual residents who were away on census night.","data_kind":"Census\/enumeration data [cen]","notes":"The scope of 2000 Mauritius Population Census included:\n\nHOUSING\n- Location\n- Type of Building\n- Characteristics of buildings\n- Characteristics of housing units\n- Characteristics of households\n- Commercial and industrial establishments, hotels and boarding houses\n- Fruit-trees on premises\n\nPOPULATION\n- Location\n- Names of persons\n- Demographic and social characteristics\n- Whether disabled or not\n- Migration characteristics\n- Fertility\n- Education characteristics\n- Current economic characteristics\n- Income","study_scope":"The scope of 2000 Mauritius Population Census included:\n\nHOUSING\n- Location\n- Type of Building\n- Characteristics of buildings\n- Characteristics of housing units\n- Characteristics of households\n- Commercial and industrial establishments, hotels and boarding houses\n- Fruit-trees on premises\n\nPOPULATION\n- Location\n- Names of persons\n- Demographic and social characteristics\n- Whether disabled or not\n- Migration characteristics\n- Fertility\n- Education characteristics\n- Current economic characteristics\n- Income"},"method":{"data_collection":{"data_collectors":[{"name":"Statistics Mauritius","abbreviation":"Stats M","affiliation":"Ministry of Finance and Economic Development"}],"coll_mode":"Self administered and face to face","research_instrument":"Questionnaire Design\nConsultation with stakeholders from Government Ministries and Departments started in 1998. Heads of Government Ministries and Departments were invited via a circular letter to submit a list of demographic, social and economic data they considered essential for administration, planning and policy-making and which could be collected at the census. The proposals received were discussed at various levels. In the light of these discussions and taking into account recommendations of the United Nations Statistics Division on subject matters that can be investigated at a census, final selection of topics was made at a meeting with subject matter specialists from our parent Ministry.\n\nThe main considerations in the final selection of topics were:\n    -  the importance of the topics to the country\n    -  the cost for collecting and processing data on a given item\n    -  where it was possible by other means to obtain satisfactory information more cheaply, the topic was not selected\n    -  the suitability of topics\n    -  sensitive and controversial issues as well as questions that were too complicated or difficult for the average respondent to answer were avoided\n    -  whether the census was the appropriate method for data collection\n    -  topics that required detailed investigation or highly qualified staff were not included since they would be best    canvassed by sample surveys. \n\nHousing Census Questionnaire\nAll topics investigated at the 1990 Census were included in the 2000 Housing Census questionnaire. Three new items were however added. These were: \u201cAvailability of domestic water tank\/reservoir\u201d, \u201cPrincipal fuel used in bathroom\u201d and \u201cFruit trees on premises\u201d.  \n\nThe housing census questionnaire was divided into seven parts. A list of topics and items included in the questionnaire is given below:\nPart I - Location\nPart II - Type of Building\nPart III - Characteristics of buildings\n- Storeys above ground floor\t\t\t\n- Year of completion\t\t\t\n- Principal material of construction used for roof and walls\t\nPart IV - Characteristics of housing units\n- Ownership\t\t\t\t\n- Occupancy\t\t\t\t\n- Water supply\t\t\t\t\n- Domestic water tank\/reservoir\n- Availability of electricity\t\t\n- Toilet facilities\t\t\t \n- Bathing facilities\t\t\t\n- Availability of kitchen\n- Refuse disposal\nPart V - Characteristics of households\n- Household type\n- Name and address of head of household\n- Number of persons by sex\n- Tenure\n- Number of rooms for living purposes\n- Number of rooms for business or profession\n- Monthly rent \n- Principal fuel used for cooking\n- Principal fuel used in bathroom\nPart VI - Commercial and industrial establishments, hotels and boarding houses\n- Name and address of establishment or working proprietor\/manager\n- Main activity in which the establishment is engaged\n- Number of persons engaged at the time of enumeration\nPart VII - Fruit-trees on premises\n- Number of fruit trees of bearing age by type\n\nPopulation Census Questionnaire\nThe 2000 Population Census questionnaire covered most of the topics investigated at the 1990 Population Census. A question on income was added while the questions on education were reviewed to include qualifications, other than those of the primary and secondary levels, of the respondent. The topic, main activity status of person during the year, which was investigated at the previous census was not included.\n\nTopics and items included in the population census questionnaire are given below:\n(i) Location\n(ii) Names of persons\nThese information were asked only to ensure that all members of the household were enumerated.  Also, the listing of names of each person facilitated the checking for accuracy and completeness of each entry at the time of enumeration and later, if errors or missing information still persisted on the form. It should be pointed out that names were not captured at the data entry stage, so that data collected could not be identified with any individual person, in line with the requirements of the Statistics Act.\n(iii) Demographic and social characteristics\n- Relationship to head (only one head is allowed for each household)\n- Sex\n- Age\n- Date of birth (This question served as a verification to the age reported earlier)\n- Citizenship\n- Marital Status\n- Religion\n- Linguistic group\n- Language usually spoken\n(iv) Whether disabled or not\n- Type of disability, if disabled\n(v) Migration characteristics\n- Whereabouts on Census night\n- Usual address\n- Usual address five years ago\n(vi) Fertility\n- For persons not single:\n- Age at first marriage\n- Whether married more than once\n- Number of children ever born (for women only)\n(vii) Education characteristics\n- For persons 2 years and above:\n- Languages read and written\n- School attendance\n- Primary and secondary education\n(viii) Current economic characteristics\n(ix) Income\t\n\nCensus Guide and Instructions\nA census guide and instructions booklet was prepared and distributed to all heads of households. The booklet contained extensive explanations on how to fill in the census form and answered questions that people usually asked about censuses. Thus the objectives of the census, what happened to the census forms once the enumeration was over, the confidential aspect of collected information as well as the usefulness of each item were explained.\n\nPrinting of Census Questionnaires and Guides  \nThe census questionnaires, and the census guide and instructions booklets were printed by the Government Printer.  The numbers printed were as follows:\n(i) Housing Census questionnaires - 16,000 booklets of 25 questionnaires\n(ii) Population Census questionnaires - 375,000\n(iii) Census guide and instructions booklets - 312,000","coll_situation":"Housing Census\nThe enumeration work was organized by EA.  Enumeration within each EA was done in a systematic way to ensure that all buildings, housing units and households within the limits of the area were canvassed. This necessitated a good planning of the enumeration work involving the sub-division of each EA into well-demarcated blocks and the canvassing of one block after the other until the whole EA was covered.\n\nOne or two weeks before the housing census, Chief Enumerators made field reconnaissance and ensured that they were well-acquainted with the boundaries and ground features of the enumeration areas allocated to them. With the assistance of the Supervisors, Chief Enumerators identified blocks with well-defined boundaries such as roads, lanes, rivers, mountain sides or cane fields within each EA. EAs were then sub-divided accordingly and blocks within each EA were assigned a two-digit code starting with 01. Chief Enumerators then proceeded with the enumeration of buildings within each block in an orderly and systematic manner starting with block number 01 until the whole EA was covered. Each enumerated building was assigned a unique identification number consisting of the two-digit block number and a three-digit building number. Thus the first building in block 01 was given the identification number 01\/001, the second 01\/002 etc. These identifiers, besides being recorded on the census forms were written on the enumerated buildings on a conspicuous place so that they could be easily spotted by the supervisors during control and later by the enumerators during the population census enumeration.  \n\nChief Enumerators also had to indicate on their EA census maps their starting point as well as their route of travel for each block. This was to facilitate the control work of the Supervisors and later to help enumerators to easily locate the households they had to visit at the Population Census.\n\nInformation was collected in booklets of 25 housing census forms. Since the movement of census forms was organized by EA, booklets used for a given EA were tagged together and were kept separate from booklets used for other EAs. Furthermore, to avoid bottlenecks at the processing stage, tagged booklets were verified and returned to the office as soon as the canvassing of an EA was completed.\n\nFor each EA covered, the Chief Enumerator had to prepare a list of heads of households, vacant housing units and housing units under construction together with the addresses. The number of persons in occupied households was also recorded on the list. The list was later used for the preparation of workloads of Enumerators.\n\nPopulation Census \nA population census form, with the name and address of the head of household as well as other geographical information, was prepared for each private household enumerated at the Housing Census. Addressed population census forms were also prepared for hotels, institutions, collective quarters, vacant housing units and housing units that were under construction.\n\nEach Enumerator was given a list of addresses to be visited and an addressed population census form for each of these addresses. He was also provided with some unaddressed forms for newly-formed households and for households that could have been missed at the Housing Census as well as a specially designed sheet to record the names and addresses of any newly formed or missed households.  \n\nDistribution of the census forms and guides to heads of households was done during the week preceding the Census night of 2 July 2000. The Enumerator was given specific instructions on how to proceed with the list of households provided to him. By inserting appropriate remarks for each entry on the list at the distribution and later at the collection stage, he was able to keep control of his work on the field. He was able to tell whether all the forms had been delivered and subsequently collected, whether a household had moved to a new address or whether a housing unit reported as vacant at the Housing Census, was now occupied.\n\nHeads of households were requested to fill in the census forms according to instructions given in the \u201cCensus guide and instructions\u201d booklet delivered to them along with the census form. However, if a household was unable to fill in the form, in part or in full, it was the duty of the enumerator to complete or fill in the form according to statements provided by the head.  \n\nAfter delivery of the census forms, meetings at various levels of field staff were held to assess the situation on the field and to solve unexpected problems.\n\nSpecial arrangements were made with managers or responsible officers of hotels, institutions and collective quarters for the enumeration of guests or inmates. Since it was difficult to obtain information from persons staying in hospitals, infirmaries, asylums and prisons, information from administration records were used to answer as many questions as possible.  Enumeration of foreign workers living in collective quarters was done with the assistance of responsible officers of factories where the foreigners were working.  \n\nCollection of completed census forms started on the 3rd July 2000 and lasted until the third week of same month. When collecting the forms, enumerators had to ensure that information collected were legible, consistent and complete. Enumerators were asked to compare the resulting person count for each household with that obtained at the Housing Census and provided to them. Any difference had to be explained.\n\nQuality assurance of field operation\nThe 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.\n\nSupervisors 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. \n\nAll supervisory staff had to record their field activities in provided diaries. The day-to-day record outlined the activities carried out, the dates on 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. \n\nMovement of census forms\nMovements of census forms were organized by EA.  Booklets or forms used for given EAs were tagged together in batches and returned to the census storeroom at the Office after verification.  Special control forms were used to record the EA number of the batch, the date of reception, the name of the officer returning the batch as well as the relevant counts for the EA covered.\n\nSimilarly, movements of the EA batches from the storeroom to the editing and coding sub-unit, from the editing and coding sub-unit to the Central Information Systems Division (CISD) for data entry and finally from the CISD to the storeroom for final storage were recorded on specially designed control sheets.\n\nThe control sheets helped to assess the progress of work and ensured that batches of all EAs had been through the various processing stages.\n\nCalendar of activities\nA timetable indicating the sequence of each component operation of the census was prepared as an overall framework for the census. It served as a guide for measuring the progress of work at each stage of the census operation. It was thus possible to detect delays and errors in time estimates by comparing the calendar target dates and the actual dates of implementation.\n\nFor the details please refer to Calendar of activities - Census 2000 in External Resources section.\n\nProject budget and expenditure incurred\nEstimates of the budget in the planning phase were based on expenditure incurred at the previous census brought up to the actual value by adjusting for price and population increases during the period 1990-2000. The project value of the Housing and Population Census was thus estimated at around Rs 75 Million.  However, because of existing infrastructure and services, including personnel, the actual project budget was reduced to Rs 70 Million.  \n\nThe breakdown of project budget and the expenditure incurred are given in Budget & Expenditure - Census 2000 in  External Resources section. \n\nIt is to be noted that around Rs 52 Mn, i.e. 82 % of the Rs 64 Mn spent to date, were used for payment of fees and travelling to field staff.  Further, a bulk of Rs 42 Mn was incurred during the financial year 2000\/2001.\n\nPublicity \nThe success of the census operation depends to a large extent on the co-operation and understanding of the public. It was therefore necessary to have a publicity campaign to convince the population of the usefulness of the census and to appeal for their contribution.\n\nThe publicity materials included a census caption, video and audio spots, and communiqu\u00e9s in the media. The census caption and spots were prepared by a private agency.  Spots were transmitted on radio and television by the national broadcasting station.  \n\nThe publicity campaign started in February 2000 with the transmission of spots on radio and television during hours of wide audience. The spots were in three different languages, namely, Bhojpuri, Creole and French. These were transmitted more frequently during the first weeks of February 2000 when the housing census enumeration started and around the census night of 2 July 2000. The Director of Statistics also made brief interventions on radio and television; the objectives of the census and the confidential aspect of the information collected were covered and an appeal was made for the co-operation of the public.  \n\nFurther, wide coverage of the event by the media contributed to public awareness.","act_min":"The Chief Supervisor was responsible for the whole field operation in the country. He was supported by two Assistant Chief Supervisors. Seventeen Senior Supervisors worked under the direct supervision of the Chief Supervisors and each Senior Supervisor had the charge of about eight Supervisors and 60 Chief Enumerators for the Housing Census, and an additional 300 Enumerators for the Population Census. A Supervisor had about seven Chief Enumerators and 36 Enumerators working under his supervision.  \n\nThe Housing Census enumeration was carried out by the 1,029 Chief Enumerators, each of whom had to control the work of about 5 Enumerators at the Population Census. \n\nSupervisors, Chief Enumerators and Enumerators working on the Island of Rodrigues worked under the supervision of the Senior Statistician responsible of statistics for the Island of Rodrigues.","cleaning_operations":"Recruitment and Training of Editors and Coders\nAbout 15 clerical officers who were previously engaged in the various units of the Office and 10 newly recruited statistical officers were called on to the editing and coding of the census forms while a request for the services of 50 additional clerical officers was made to the Ministry for Civil Service Affairs and Administrative Reform.  Between March 2000 and May 2001, small groups of clerical officers from the ministry joined the team.  Staff turnover was high; many left for better jobs so that finally the number of editors and coders in the team attained a maximum of 50 around May 2001.   \n\nEditors and coders were trained by the statistician in charge of the exercise, in small groups and as and when they joined the team. Training was essentially an on-going process and supervisory staff had to ensure that instructions were understood and followed. To achieve uniformity and consistency, problems that arose and which were not covered in the manuals or during training sessions were discussed with the senior statistician. Instructions were then transmitted to the team of editors and coders during short briefing sessions that were conducted as and when needed.\n\nThe main duties of the officers consisted in the editing and coding of the census forms. However, they were also involved in various administrative works such as the preparation of appointment letters to field staff, preparation of addressed population census forms, preparation of census materials for field staff, preparation of lists of field staff for payment, reception of completed census forms and other documents from the field, etc. They also worked on the correction of invalid records at the validation stage of the Housing and Population data files.\n\nEditing and Coding of Housing Census Questionnaires\nEditing and coding of the Housing Census questionnaires started during the second week of March 2000 and was completed during the first week of May of the same year. Around 15,000 booklets of 25 housing census forms were handled in the process. However, since not all the 25 forms making a booklet were used, it is estimated that about 310,000 Housing Census forms were edited and coded. A team of 30 editors and coders and three supervisors was involved in the exercise. On the average, an officer edited and coded about 300 Housing Census forms per day.\n\nEditors and coders first verified that geographical identifiers on the cover of booklets making the EA batch were the same. Consistency checks of block numbers, building numbers within blocks as well as the housing units within buildings were then performed. Editors finally proceeded to consistency checking, and editing and coding of the information collected according to instructions given.  \n\nThe Housing Census form being largely pre-coded, only the locality codes had to be inserted. The coding of Section VI - Commercial, industrial establishments, hotels and boarding houses and Section VII - Fruit-trees on premises was treated as a separate exercise and was carried out around June and July 2000 when the editing and coding of Sections I to V was completed. The reason was that the capture and processing of information needed for the production of address labels had to be completed early enough so that addressed census forms could be prepared on time for the Population Census enumeration. \n\nEditing and Coding of Population Census Questionnaires \nEditing and coding of Population Census forms started in August 2000 and ended in June 2001. About 300,000 Population Census forms containing around 1,200,000 entries were handled. The team of coders which was composed of about 30 officers in August 2000 grew to a maximum of about 50 around May 2001. It should be noted that a request for 70 officers was made for this exercise; based on the number of officers requested, the editing and coding of the Population Census forms was scheduled to be completed around April 2001. The team therefore had recourse to extensive after-office work so that the exercise could be completed within a reasonable time frame. On the average, about 35 forms were edited and coded per day by an officer.  \n\nThe editing and coding of the Population Census forms consisted of three different stages: the overall verification of the EA batch, consistency checking and editing of the information collected followed by coding.  \n\nVerification of the EA batches consisted of checking that all census forms in a given batch had the same EA codes; appropriate geographical codes were inserted on unaddressed forms that were used to enumerate newly formed households. Officers then proceeded with consistency checking and editing of the individual forms according to instructions given. Some of the checks performed were the verification of the presence of only one \u201chead\u201d per household and the sequential numbering of entries on the forms, consistency between age and date of birth, consistency between age and marital status, and consistency between age and educational attainment. \n\nThe coding of the Population Census forms was more complex and time-consuming than that of the Housing Census forms where only locality codes were inserted. Apart from the geographical codes that were printed on the address labels, all information on the population census forms had to be coded.  \n\nVarious code lists were used. Because of difficulties encountered by editors and coders in understanding the different codes, a system was devised such that a form was handled by two officers. The first officer performed the overall verification of the EA batch and edited and coded the part of the form prior to economic activity. The second officer edited and coded the part on economic activity. The group working on the second part of the form was chosen according to its ability to understand the different codes involved. The implementation of the system had, as result, a reduction in the number of coding errors and an increase in the number of forms handled daily by the team.\n\nSoftware and Equipment\nThe software used for the processing of the census data was IMPS 4.1 (Integrated Microcomputer Processing System) of the International Programs Center of the US Bureau of the Census, which is specifically designed for census and survey data processing.   \n\nThe software, which operates in a Windows environment, has separate modules for data entry (CENTRY), data edit and imputation (CONCOR), publication tabulation (CENTS), quick tabulation (QUICKTAB), table retrieval (TRS), variance calculation (CENVAR) and data entry control (CENTRACK). The modules that were used in the processing of the census data were CENTRY, CONCOR, QUICKTAB and CENTS.\n\nThe following equipment was available for data capture and processing:\n(i) 30 PCs for data capture,\n(ii) 3 PCs with zip disk drives for validation and tabulation, \n(iii) 2 line printers for printing of address labels and\n(iv) 2 laser printers for printing of publication tables.\n\nProcessing Operations\nThe processing of the Housing Census data and the Population Census data were done along the same lines, although the various operations involved in the processing were somewhat more complex for the Population Census than for the Housing Census. On the other hand, the production of address labels concerned only the Housing Census. The processing of the census data involved the following main operations: \n(i) Writing programmes for\n(a) data entry applications with range checks,\n(b) validation of data files,\n(c) checking consistency of EA data file names with Island, Geographical District, Municipal Ward\/Village Council Area and EA codes in the data files,  \n(d) creation of address label files,\n(e) tabulation of census data;\n\n(ii) Data capture;\n(iii) Data validation and updating of data files;\n(iv) Checking for inconsistent EA data file names;\n(v) Checking for duplicate and missing EAs; \n(vi) Production of address labels from Housing Census files and printing of labels;\n(vii) Consolidation of EA data files;\n(viii) Tabulation.\n\nThe aim of checking the consistency of EA data file names with the EA geographical codes that appeared in the data files was to ensure that the correct geographical codes of EA batches had been entered, and also to safeguard against creation of EA data files with similar names. Any error at this stage would have caused serious problems in the control of captured EAs: missing EA files and EA data files with similar names would then have had to be handled.\n\nData Capture \nData entry with 100% verification (rekeying) of the Housing and Population Census forms was done by operators of the Central Information Systems Division of the Ministry of Information Technology and Telecommunications. The data entry staff was composed of a maximum of 28 operators and 5 supervisors working normally on a one-shift and five working-day system. Other applications were run concurrently with that of the census so that, whenever the need arose, data entry officers shifted to applications with higher priority. The Division had recourse to extensive after-office work to complete the data entry exercise within reasonable time limits.   \n\nThe data entry exercise for the Housing Census started in March 2000 and was completed in May of the same year when data for about 310,000 forms were keyed in. The number of keystrokes involved in the data entry and verification exercise was estimated to be around 70 million while the average number of keystrokes per operator per hour was estimated to be around 7,500 with a range extending from 5,000 to 9,000.  \n\nData of Section VI - Commercial, industrial establishments, hotels and boarding houses and Section VII - Fruit-trees on premises of the Housing Census questionnaires were captured during the months of July and August 2000.\n\nData capture for the Population Census started in September 2000 and was completed in July 2001.  Data for around 300,000 Population Census forms containing about 1,200,000 records were keyed in during that period.  The total number of keystrokes was estimated to be around 185 million and the average speed of an operator was around 12,000 keystrokes per hour, the range varying from 8,000 to 16,000.\n\nProduction of Address Labels\nAs mentioned earlier, names and addresses of heads of households obtained at the Housing Census were used as frame for the Population Census. Names and addresses as well as the geographical identification codes needed to identify households were extracted from the data files and printed on labels which were then stuck on Population Census forms.\n\nA programme was run regularly to assess the completeness of the work before proceeding to the extraction of the required information. The programme in fact flagged all validated EA files on a master list of EAs by Supervisor. As and when all data files for a given Supervisor had been validated, these were consolidated.  Information required was retrieved and address label files created.  Printing of address labels was done in order of EA by Supervisor.\n\nA total of about 310,000 address labels were printed during the month of May 2000; two line printers with a speed of 200 lines per minute were used for the task.  \n\nData Validation\nA validation programme that verified field consistencies was run to identify records with errors. Listings of these records were produced; relevant census forms were retrieved and corrections made accordingly and data files updated. The validation of Housing Census files was done, in parallel with the editing and coding exercise, by a team of five officers during the months of April and May 2000. Because of shortage of staff, the validation of the Population Census data files was carried out on completion of the editing and coding exercise, i.e. during the months of July and August 2001.\n\nOnce validation of data files was completed, the data files were concatenated to the country level. The size of the concatenated data file for the Housing Census was about 56 MB while that for the Population Census was about 134 MB.\n\nA preliminary set of publication tables was produced using the country data file.  Analysis of these tables showed that no additional editing was needed for the Housing Census data. As regards the Population Census data, while the tabulated counts of households and population were found to be consistent with the Housing Census tabulated figures, there were inconsistencies in some tables. A list of relevant edit specifications was drawn and incorporated in a CONCOR programme to remove the inconsistencies from the tabulated data. It should be mentioned that the edits included in the CONCOR correction programmes were not exhaustive so that tables still contained slight inaccuracies that would be too costly and time-consuming to identify and correct.","method_notes":"Tabulation\nTabulation was done using the CENTS module of IMPS. A set of 20 tables was produced for the Housing Census. Since all the tables were at the same geographical level, namely at the Municipal Ward\/Village Council Area level, only one run was required. \n\nAs regards the Population Census, 114 tables at various area levels were produced. A different strategy was therefore adopted. Tabulation programmes were written according to topics irrespective of the geographical level at which tables were to be published. Eight sets of tabulation programmes involving the following topics were written: demographic characteristics, fertility characteristics, economic activity and characteristics of the employed, characteristics of the unemployed, educational characteristics, household characteristics, migration characteristics and disability were written. Even though all tables in a set were not published at the same level, all intermediate table files for a given set were produced at the lowest level required. Appropriate level for each table was introduced in the table format files so that all tables were eventually produced at the level needed.  \n\nThe tables produced by CENTS were publication-quality tables so that little text editing was needed.  Only removal of duplicate tables at some area levels and some formatting as regards the page settings of large tables were performed before publication.\n\nThe publication table files were exported to the spreadsheet software EXCEL to facilitate their conversion to HTML files; the latter were subsequently posted on the office website.\n\nThe processing and tabulation of the Housing Census data were completed in October 2000.  As regards the Population Census, the exercise was completed in October 2001."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The census was conducted under the provisions of the Statistics Act. The Act invests the Director of Statistics Mauritius with the power to obtain particulars relating to a large number of topics, but at the same time it lays down strict rules to ensure that all information collected are kept strictly confidential. It forbids the publication of particulars in a way that enables identification of any individual person, undertaking or business. The Act also requires that every person employed in connection with the census to make an oath of secrecy to that effect before a magistrate. Penalties are provided for any breach of confidentiality. Furthermore, census field officers were provided with an authorization card duly signed by the Director. To safeguard the public against unauthorized persons, field officers had to produce their authorization card during interviews in connection with the census. Also, any person who refused or neglected to fill in the prescribed forms or to supply the particulars required, or knowingly made false statements, was liable to prosecution.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director","affiliation":"Statistics Mauritius","email":"census_cso@mail.gov.mu","uri":"http:\/\/statsmauritius.gov.mu"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nStatistics Mauritius, Housing and Population Census 2000. Ref. MUS_2000_PHC_v01_M. Dataset downloaded from http:\/\/statsmauritius.gov.mu on [date].","conditions":"Public use files: anonymised data to be made available upon request. Fees to be determined.","disclaimer":"The user of the data acknowledges that Statistics Mauritius bears no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"data_files":[{"file_id":"F1","file_name":"2000PC","description":"This datafile contains information taken from the Population Census questionnaire.","case_count":"0","var_count":"51","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"MVCA","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"4","var_width":"4","var_rec_seg_no":"1","labl":"Municipal ward\/Village Council Area","var_qstn_qstnlit":"GD  MWVCA","var_val_range":[{"units":"REAL","min":"1111","max":"1913"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1111","labl":"Port Louis Ward 1","stats":null,"type":null},{"value":"1112","labl":"Port Louis Ward 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Tamil","stats":null,"type":null},{"value":"27","labl":"Creole & Telegu","stats":null,"type":null},{"value":"28","labl":"Creole & Urdu","stats":null,"type":null},{"value":"29","labl":"Creole & Other Oriental","stats":null,"type":null},{"value":"30","labl":"Chinese & European","stats":null,"type":null},{"value":"31","labl":"Chinese & Oriental","stats":null,"type":null},{"value":"40","labl":"French & Other European","stats":null,"type":null},{"value":"41","labl":"French & Oriental","stats":null,"type":null},{"value":"42","labl":"Other European & Oriental","stats":null,"type":null},{"value":"50","labl":"Bhojpuri & Hindi","stats":null,"type":null},{"value":"51","labl":"Bhojuri & Marathi","stats":null,"type":null},{"value":"52","labl":"Bhojpuri & Tamil","stats":null,"type":null},{"value":"53","labl":"Bhojpuri & Telegu","stats":null,"type":null},{"value":"54","labl":"Bhojpuri & Urdu","stats":null,"type":null},{"value":"55","labl":"Bhojpuri & Other Oriental","stats":null,"type":null},{"value":"60","labl":"Hindi & Marathi","stats":null,"type":null},{"value":"61","labl":"Hindi & Tamil","stats":null,"type":null},{"value":"62","labl":"Hindi & Telegu","stats":null,"type":null},{"value":"63","labl":"Hindi & Urdu","stats":null,"type":null},{"value":"64","labl":"Hindi & Other Oriental","stats":null,"type":null},{"value":"70","labl":"Marathi & Tamil","stats":null,"type":null},{"value":"71","labl":"Marathi & Telegu","stats":null,"type":null},{"value":"72","labl":"Marathi & Urdu","stats":null,"type":null},{"value":"73","labl":"Marathi & Other Oriental","stats":null,"type":null},{"value":"80","labl":"Tamil & Telegu","stats":null,"type":null},{"value":"81","labl":"Tamil & Urdu","stats":null,"type":null},{"value":"82","labl":"Tamil & Other Oriental","stats":null,"type":null},{"value":"90","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V30","name":"Languagespoken","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"58","var_width":"2","var_rec_seg_no":"1","labl":"Language usually spoken","var_qstn_preqtxt":"For children not yet able to speak, insert the language spoken by the mother.\n\nFor a person who cannot speak, write the language usually spoken in his\/her home.\n\nFor census purposes, consider creole, bhojpuri, etc. as languages.","var_qstn_qstnlit":"State the language usually or most often spoken by the person in his\/her home.","var_qstn_postqtxt":"STOP HERE FOR CHILDREN UNDER 2 YEARS","var_val_range":[{"units":"REAL","min":"0","max":"90"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"Creole","stats":null,"type":null},{"value":"1","labl":"Cantonese","stats":null,"type":null},{"value":"2","labl":"Chinese","stats":null,"type":null},{"value":"3","labl":"Hakka","stats":null,"type":null},{"value":"4","labl":"Mandarin","stats":null,"type":null},{"value":"5","labl":"Other Chinese","stats":null,"type":null},{"value":"6","labl":"English","stats":null,"type":null},{"value":"7","labl":"French","stats":null,"type":null},{"value":"8","labl":"Other European","stats":null,"type":null},{"value":"10","labl":"Arabic","stats":null,"type":null},{"value":"11","labl":"Bhojpuri","stats":null,"type":null},{"value":"12","labl":"Gujrati","stats":null,"type":null},{"value":"13","labl":"Hindi","stats":null,"type":null},{"value":"14","labl":"Marathi","stats":null,"type":null},{"value":"15","labl":"Tamil","stats":null,"type":null},{"value":"16","labl":"Telegu","stats":null,"type":null},{"value":"17","labl":"Urdu","stats":null,"type":null},{"value":"18","labl":"Other Oriental","stats":null,"type":null},{"value":"20","labl":"Creole & Chinese","stats":null,"type":null},{"value":"21","labl":"Creole & French","stats":null,"type":null},{"value":"22","labl":"Creole & Other European","stats":null,"type":null},{"value":"23","labl":"Creole & Bhojpuri","stats":null,"type":null},{"value":"24","labl":"Creole & Hindi","stats":null,"type":null},{"value":"25","labl":"Creole & Marathi","stats":null,"type":null},{"value":"26","labl":"Creole & Tamil","stats":null,"type":null},{"value":"27","labl":"Creole & Telegu","stats":null,"type":null},{"value":"28","labl":"Creole & Urdu","stats":null,"type":null},{"value":"29","labl":"Creole & Other Oriental","stats":null,"type":null},{"value":"30","labl":"Chinese & European","stats":null,"type":null},{"value":"31","labl":"Chinese & Oriental","stats":null,"type":null},{"value":"40","labl":"French & Other European","stats":null,"type":null},{"value":"41","labl":"French & Oriental","stats":null,"type":null},{"value":"42","labl":"Other European & Oriental","stats":null,"type":null},{"value":"50","labl":"Bhojpuri & Hindi","stats":null,"type":null},{"value":"51","labl":"Bhojuri & Marathi","stats":null,"type":null},{"value":"52","labl":"Bhojpuri & Tamil","stats":null,"type":null},{"value":"53","labl":"Bhojpuri & Telegu","stats":null,"type":null},{"value":"54","labl":"Bhojpuri & Urdu","stats":null,"type":null},{"value":"55","labl":"Bhojpuri & Other Oriental","stats":null,"type":null},{"value":"60","labl":"Hindi & Marathi","stats":null,"type":null},{"value":"61","labl":"Hindi & Tamil","stats":null,"type":null},{"value":"62","labl":"Hindi & Telegu","stats":null,"type":null},{"value":"63","labl":"Hindi & Urdu","stats":null,"type":null},{"value":"64","labl":"Hindi & Other Oriental","stats":null,"type":null},{"value":"70","labl":"Marathi & Tamil","stats":null,"type":null},{"value":"71","labl":"Marathi & Telegu","stats":null,"type":null},{"value":"72","labl":"Marathi & Urdu","stats":null,"type":null},{"value":"73","labl":"Marathi & Other Oriental","stats":null,"type":null},{"value":"80","labl":"Tamil & Telegu","stats":null,"type":null},{"value":"81","labl":"Tamil & Urdu","stats":null,"type":null},{"value":"82","labl":"Tamil & Other Oriental","stats":null,"type":null},{"value":"90","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V31","name":"Languagereadwrite","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"59","var_end_pos":"59","var_width":"1","var_rec_seg_no":"1","labl":"Language read and written","var_qstn_preqtxt":"Write 'NONE' for persons (including children) who cannot both read and write any language.\n\nFor census purposes, consider creole, bhojpuri, etc. as languages.","var_qstn_qstnlit":"In which language(s) can the person, with understanding, both read and write a simple statement in his\/her everyday life?","var_val_range":[{"units":"REAL","min":"0","max":"7"}],"var_universe":"Persons aged 2 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Creole only","stats":null,"type":null},{"value":"2","labl":"Bhojpuri only","stats":null,"type":null},{"value":"3","labl":"Creole and Bhojpuri only","stats":null,"type":null},{"value":"4","labl":"Oriental languages (with or without Creole or Bhojpuri, but excluding European languages)","stats":null,"type":null},{"value":"5","labl":"European languages (with or without Creole or Bhojpuri, but excluding Oriental languages)","stats":null,"type":null},{"value":"6","labl":"European and Oriental languages (with or without Creole or Bhojpuri)","stats":null,"type":null},{"value":"7","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V32","name":"SchoolAttendance","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"60","var_end_pos":"60","var_width":"1","var_rec_seg_no":"1","labl":"School Attendance","var_qstn_preqtxt":"If now attending school  (including pre-primary), college or university, full-time, write: 'NOW'.\n\nIf has attended school\/\ncollege\/\nuniversity, full-time in the past, write:\n'PAST'.\n\nIf never attended school\/\ncollege\/ university, write: 'NEVER'.","var_qstn_qstnlit":"School attendance","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"Persons aged 2 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Now","stats":null,"type":null},{"value":"2","labl":"Past","stats":null,"type":null},{"value":"3","labl":"Never","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V33","name":"PrimarySecondaryEducation","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"62","var_width":"2","var_rec_seg_no":"1","labl":"Primary\/Secondary Education","var_qstn_preqtxt":"If now attending pre-primary, primary or secondary school, write the standard or form being attended.\n\nIf attended primary or secondary school in the past, or studied without attending school, write the highest standard or form completed, or the highest primary or secondary school certificate obtained.\n\nIf never attended school and has no primary or secondary school certificate, write: 'NIL'","var_qstn_qstnlit":"Primary and secondary education","var_qstn_postqtxt":"STOP HERE FOR PERSONS UNDER 12 YEARS","var_val_range":[{"units":"REAL","min":"0","max":"29"}],"var_universe":"Persons aged 2 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"Nil","stats":null,"type":null},{"value":"1","labl":"Preprimary","stats":null,"type":null},{"value":"11","labl":"Standard I","stats":null,"type":null},{"value":"12","labl":"Standard II","stats":null,"type":null},{"value":"13","labl":"Standard III","stats":null,"type":null},{"value":"14","labl":"Standard IV","stats":null,"type":null},{"value":"15","labl":"Standard V","stats":null,"type":null},{"value":"16","labl":"Standard VI","stats":null,"type":null},{"value":"17","labl":"PSLC (CPE)","stats":null,"type":null},{"value":"21","labl":"Form I","stats":null,"type":null},{"value":"22","labl":"Form II","stats":null,"type":null},{"value":"23","labl":"Form III","stats":null,"type":null},{"value":"24","labl":"Form IV","stats":null,"type":null},{"value":"25","labl":"Form V","stats":null,"type":null},{"value":"26","labl":"SC, BEPC or \u00ba","stats":null,"type":null},{"value":"27","labl":"Form VI","stats":null,"type":null},{"value":"28","labl":"HSC or \u00ba, BAC","stats":null,"type":null},{"value":"99","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V34","name":"Qual1Duration","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"63","var_end_pos":"64","var_width":"2","var_rec_seg_no":"1","labl":"Duration of highest qualification","var_qstn_preqtxt":"Qualifications other than those of the primary and secondary levels\n\nE.g., degrees, diplomas, nursing or teaching qualifications, membership of professional institutions, other professional, educational, technical or vocational qualifications, etc. \n\nIf 'NO', write 'NONE' in all six columns below.\n\nIf 'YES', give details for the 3 highest qualifications as follows:\n- duration of training in full time equivalent months,\n- title of qualification obtained, major field of study and name of institution awarding the \n        qualification (e.g. BSc Civil Engineering - University of Mauritius; NCC International Diploma \n         in Computer Studies - SITRAC; NTC 1 Hotel management - Hotel School of Mauritius, etc.)","var_qstn_qstnlit":"Has the person obtained any qualifications other than those of the primary and secondary levels already reported in column 21?   Duration of training in months.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"97","labl":"97 months or more","stats":null,"type":null},{"value":"98","labl":"None","stats":null,"type":null},{"value":"99","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V35","name":"Qual1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"65","var_end_pos":"67","var_width":"3","var_rec_seg_no":"1","labl":"Highest qualification","var_qstn_preqtxt":"Qualifications other than those of the primary and secondary levels\n\nE.g., degrees, diplomas, nursing or teaching qualifications, membership of professional institutions, other professional, educational, technical or vocational qualifications, etc. \n\nIf 'NO', write 'NONE' in all six columns below.\n\nIf 'YES', give details for the 3 highest qualifications as follows:\n- duration of training in full time equivalent months,\n- title of qualification obtained, major field of study and name of institution awarding the \n        qualification (e.g. BSc Civil Engineering - University of Mauritius; NCC International Diploma \n         in Computer Studies - SITRAC; NTC 1 Hotel management - Hotel School of Mauritius, etc.)","var_qstn_qstnlit":"Has the person obtained any qualifications other than those of the primary and secondary levels already reported in column 21?    Qualification received, major field of study and name of institution awarding the qualification.","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V36","name":"Qual2Duration","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"68","var_end_pos":"69","var_width":"2","var_rec_seg_no":"1","labl":"Duration of second highest qualification","var_qstn_preqtxt":"Qualifications other than those of the primary and secondary levels\n\nE.g., degrees, diplomas, nursing or teaching qualifications, membership of professional institutions, other professional, educational, technical or vocational qualifications, etc. \n\nIf 'NO', write 'NONE' in all six columns below.\n\nIf 'YES', give details for the 3 highest qualifications as follows:\n- duration of training in full time equivalent months,\n- title of qualification obtained, major field of study and name of institution awarding the \n        qualification (e.g. BSc Civil Engineering - University of Mauritius; NCC International Diploma \n         in Computer Studies - SITRAC; NTC 1 Hotel management - Hotel School of Mauritius, etc.)","var_qstn_qstnlit":"Has the person obtained any qualifications other than those of the primary and secondary levels already reported in column 21?   Duration of training in months.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"97","labl":"97 months or more","stats":null,"type":null},{"value":"98","labl":"None","stats":null,"type":null},{"value":"99","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V37","name":"Qual2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"70","var_end_pos":"72","var_width":"3","var_rec_seg_no":"1","labl":"Second highest qualification","var_qstn_preqtxt":"Qualifications other than those of the primary and secondary levels\n\nE.g., degrees, diplomas, nursing or teaching qualifications, membership of professional institutions, other professional, educational, technical or vocational qualifications, etc. \n\nIf 'NO', write 'NONE' in all six columns below.\n\nIf 'YES', give details for the 3 highest qualifications as follows:\n- duration of training in full time equivalent months,\n- title of qualification obtained, major field of study and name of institution awarding the \n        qualification (e.g. BSc Civil Engineering - University of Mauritius; NCC International Diploma \n         in Computer Studies - SITRAC; NTC 1 Hotel management - Hotel School of Mauritius, etc.)","var_qstn_qstnlit":"Has the person obtained any qualifications other than those of the primary and secondary levels already reported in column 21?    Qualification received, major field of study and name of institution awarding the qualification.","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V38","name":"Qual3Duration","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"73","var_end_pos":"74","var_width":"2","var_rec_seg_no":"1","labl":"Duration of third highest qualification","var_qstn_preqtxt":"Qualifications other than those of the primary and secondary levels\n\nE.g., degrees, diplomas, nursing or teaching qualifications, membership of professional institutions, other professional, educational, technical or vocational qualifications, etc. \n\nIf 'NO', write 'NONE' in all six columns below.\n\nIf 'YES', give details for the 3 highest qualifications as follows:\n- duration of training in full time equivalent months,\n- title of qualification obtained, major field of study and name of institution awarding the \n        qualification (e.g. BSc Civil Engineering - University of Mauritius; NCC International Diploma \n         in Computer Studies - SITRAC; NTC 1 Hotel management - Hotel School of Mauritius, etc.)","var_qstn_qstnlit":"Has the person obtained any qualifications other than those of the primary and secondary levels already reported in column 21?   Duration of training in months.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"97","labl":"97 months or more","stats":null,"type":null},{"value":"98","labl":"None","stats":null,"type":null},{"value":"99","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V39","name":"Qual3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"75","var_end_pos":"77","var_width":"3","var_rec_seg_no":"1","labl":"Third highest qualification","var_qstn_preqtxt":"Qualifications other than those of the primary and secondary levels\n\nE.g., degrees, diplomas, nursing or teaching qualifications, membership of professional institutions, other professional, educational, technical or vocational qualifications, etc. \n\nIf 'NO', write 'NONE' in all six columns below.\n\nIf 'YES', give details for the 3 highest qualifications as follows:\n- duration of training in full time equivalent months,\n- title of qualification obtained, major field of study and name of institution awarding the \n        qualification (e.g. BSc Civil Engineering - University of Mauritius; NCC International Diploma \n         in Computer Studies - SITRAC; NTC 1 Hotel management - Hotel School of Mauritius, etc.)","var_qstn_qstnlit":"Has the person obtained any qualifications other than those of the primary and secondary levels already reported in column 21?    Qualification received, major field of study and name of institution awarding the qualification.","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V40","name":"Hoursworked","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"78","var_end_pos":"79","var_width":"2","var_rec_seg_no":"1","labl":"Hours worked during reference period","var_qstn_preqtxt":"Include self-employment with or without employees, work without pay in a family enterprise or farm; but exclude housework in the person's own home.\n\nIf worked for less than 1 hour during the whole week, enter '00' and continue with column 24.\n\nOtherwise, enter the number of hours (to the nearest hour) and go to column 28.","var_qstn_qstnlit":"How many HOURS in all did the person work for pay, profit or family gain DURING THE PAST WEEK from Monday 26 June to Sunday 2 July 2000?","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V41","name":"ActPresent","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"80","var_end_pos":"80","var_width":"1","var_rec_seg_no":"1","labl":"Temporarily absent from present activity","var_qstn_preqtxt":"If there was a job, business, enterprise or farm from which the person was temporarily absent, write 'YES' and go to column 28.\n\nIf the person did not hold a job, write 'NO' and continue with column 25.","var_qstn_qstnlit":"Was there a job, business, family enterprise or agricultural holding or farm, at which the person did not work because of illness, injury, holiday, industrial dispute, off-season inactivity, temporary disorganisation, etc.?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V42","name":"Search","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"81","var_end_pos":"81","var_width":"1","var_rec_seg_no":"1","labl":"Looking for work","var_qstn_preqtxt":"For example, did he\/she check with employers or at private homes, factories and work sites; place or answer advertisements; seek assistance and advice to set up own business or enterprise; maintain registration with an Employment Exchange, etc.\n\nInsert 'YES' or 'NO' as appropriate.","var_qstn_qstnlit":"Did the person take any active steps to look for work or set up a business of his\/her own, any time during the past 4 weeks?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V43","name":"Availability","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"82","var_end_pos":"82","var_width":"1","var_rec_seg_no":"1","labl":"Availability for work","var_qstn_preqtxt":"Write 'YES' or 'NO'.\n\nIf 'NO', give reason as follows: \nHH - household duties\nST - studies\nDIS - illness, injury or disability\nWR - wholly retired\nOTHER - other","var_qstn_qstnlit":"Was the person available for work during the past week?\n(specify)","var_val_range":[{"units":"REAL","min":"1","max":"7"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No:   HH (household duties)","stats":null,"type":null},{"value":"3","labl":"No:  ST (studies)","stats":null,"type":null},{"value":"4","labl":"No: DIS (illness, injury, disability)","stats":null,"type":null},{"value":"5","labl":"No:  WR (wholly retired)","stats":null,"type":null},{"value":"6","labl":"No: OTHER","stats":null,"type":null},{"value":"7","labl":"Reason not stated","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V44","name":"Worked","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"83","var_end_pos":"84","var_width":"2","var_rec_seg_no":"1","labl":"Number of months worked for last time","var_qstn_preqtxt":"If person never worked, write 'NEVER' and go to column 34.","var_qstn_qstnlit":"How many months ago did the person work for the last time, even for a few days?","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons aged 12 years and over","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V45","name":"Establishmenttype","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"85","var_end_pos":"85","var_width":"1","var_rec_seg_no":"1","labl":"Name and type of establishment","var_qstn_preqtxt":"Give the name of the establishment, factory, firm, government ministry, municipal or district council, parastatal body, co-operative enterprise, etc., for which the person worked, including details of branch, division, department, etc.\n\nIf there is no name, give name of employer.\n\nIf self-employed, give name of business, shop, agency, etc., or write the person's own name.\n\nIf employed by a private household as cook, driver, watchman, gardener,  household worker, maidservant, etc., write:\n'PRIVATE HOUSEHOLD'.","var_val_range":[{"units":"REAL","min":"0","max":"8"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"Central Government","stats":null,"type":null},{"value":"1","labl":"Local Government: Municipal Councils","stats":null,"type":null},{"value":"2","labl":"Local Government: District Councils","stats":null,"type":null},{"value":"3","labl":"Publicly owned and\/or controlled enterprises","stats":null,"type":null},{"value":"4","labl":"Privately owned enterprises: Sugar","stats":null,"type":null},{"value":"5","labl":"Privately owned enterprises: EPZ","stats":null,"type":null},{"value":"6","labl":"Privately owned enterprises: Other","stats":null,"type":null},{"value":"7","labl":"Private household services","stats":null,"type":null},{"value":"8","labl":"Co-operative enterprises","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V46","name":"NSIC","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"86","var_end_pos":"90","var_width":"5","var_rec_seg_no":"1","labl":"Kind of business, industry or service","var_qstn_preqtxt":"Describe FULLY the kind of business, industry or service activities carried on at the person's place of work.\n\nDo not use vague terms such as agriculture, repairs, factory, school, shop, etc.\n\nUse precise terms such as sugar cane cultivation, tea cultivation, car repairing, bicycle repairing, sugar factory, pullover knitting mill, manufacture of knitted gloves, cutting and sewing underwears, primary school, household furniture shop, household appliances shop, groceries retailer, victualler, etc.\n\nIf there were more than one activity, describe the industry, business or service in which the person's main occupation was performed.","var_val_range":[{"units":"REAL","min":"0","max":"99001"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1111","labl":"Maize cultivation","stats":null,"type":null},{"value":"1112","labl":"Cereal cultivation - other","stats":null,"type":null},{"value":"1113","labl":"Sugar-cane plantation","stats":null,"type":null},{"value":"1114","labl":"Tobacco cultivation","stats":null,"type":null},{"value":"1115","labl":"Potato  growing","stats":null,"type":null},{"value":"1116","labl":"Rootcrop cultivation","stats":null,"type":null},{"value":"1117","labl":"Pulses plantation","stats":null,"type":null},{"value":"1119","labl":"Crop cultivation, n.e.c.","stats":null,"type":null},{"value":"1121","labl":"Tomato growing","stats":null,"type":null},{"value":"1122","labl":"Vegetable growing - other than tomato","stats":null,"type":null},{"value":"1123","labl":"Anthurium cultivation","stats":null,"type":null},{"value":"1124","labl":"Flower cultivation - other than anthurium","stats":null,"type":null},{"value":"1125","labl":"Ornamental plant cultivation","stats":null,"type":null},{"value":"1129","labl":"Plant nursery","stats":null,"type":null},{"value":"1131","labl":"Banana plantation","stats":null,"type":null},{"value":"1132","labl":"Pineapple plantation","stats":null,"type":null},{"value":"1133","labl":"Fruit growing - other than banana & pineapple","stats":null,"type":null},{"value":"1134","labl":"Nuts plantation","stats":null,"type":null},{"value":"1135","labl":"Tea plantation","stats":null,"type":null},{"value":"1136","labl":"Beverage crop growing - other than tea","stats":null,"type":null},{"value":"1137","labl":"Onion plantation","stats":null,"type":null},{"value":"1138","labl":"Garlic and ginger plantation","stats":null,"type":null},{"value":"1139","labl":"Spice crop plantation - other than garlic, ginger and onion","stats":null,"type":null},{"value":"1211","labl":"Cattle breeding","stats":null,"type":null},{"value":"1212","labl":"Sheep breeding","stats":null,"type":null},{"value":"1213","labl":"Horse breeding","stats":null,"type":null},{"value":"1214","labl":"Milk production","stats":null,"type":null},{"value":"1219","labl":"Dairy farming -  other than milk","stats":null,"type":null},{"value":"1221","labl":"Pig breeding","stats":null,"type":null},{"value":"1222","labl":"Poultry  farming","stats":null,"type":null},{"value":"1223","labl":"Deer rearing","stats":null,"type":null},{"value":"1224","labl":"Farming of animals - birds, rabbits, reptiles, insects etc.","stats":null,"type":null},{"value":"1225","labl":"Eggs production","stats":null,"type":null},{"value":"1226","labl":"Honey production","stats":null,"type":null},{"value":"1229","labl":"Wild game farming\/stalking","stats":null,"type":null},{"value":"1301","labl":"Farming (crops & animals combined)","stats":null,"type":null},{"value":"1411","labl":"Irrigation service","stats":null,"type":null},{"value":"1412","labl":"Land preparation","stats":null,"type":null},{"value":"1419","labl":"Crops - other service activities related, n.e.c.","stats":null,"type":null},{"value":"1421","labl":"Animals - service activities related","stats":null,"type":null},{"value":"1431","labl":"Landscaping","stats":null,"type":null},{"value":"1501","labl":"Hunting, trapping and game propagation including  related service activities","stats":null,"type":null},{"value":"2011","labl":"Forestry","stats":null,"type":null},{"value":"2021","labl":"Logging","stats":null,"type":null},{"value":"2031","labl":"Forestry service activities","stats":null,"type":null},{"value":"2041","labl":"Logging service activities","stats":null,"type":null},{"value":"5011","labl":"Inland water fishing","stats":null,"type":null},{"value":"5012","labl":"Fishing - crustaceans and molluscs  (inland)","stats":null,"type":null},{"value":"5013","labl":"Fishing - hatchery of fish or crustaceans operation (inland)","stats":null,"type":null},{"value":"5019","labl":"Inland water fishing, n.e.c.","stats":null,"type":null},{"value":"5021","labl":"Artisanal fishing (coastal)","stats":null,"type":null},{"value":"5022","labl":"Crustaceans and molluscs catching (coastal)","stats":null,"type":null},{"value":"5029","labl":"Coastal fishing, n.e.c.","stats":null,"type":null},{"value":"5031","labl":"Tuna fishing","stats":null,"type":null},{"value":"5032","labl":"Bank fishing","stats":null,"type":null},{"value":"5039","labl":"High seas fishing, n.e.c.","stats":null,"type":null},{"value":"5041","labl":"Fishing - gathering of marine materials","stats":null,"type":null},{"value":"5051","labl":"Aquatic animal  hunting","stats":null,"type":null},{"value":"5061","labl":"Fishing services","stats":null,"type":null},{"value":"14101","labl":"Stone  quarrying","stats":null,"type":null},{"value":"14102","labl":"Sand quarrying","stats":null,"type":null},{"value":"14109","labl":"Quarrying  other than sand and stone","stats":null,"type":null},{"value":"14211","labl":"Mining - chemical and fertilizer minerals","stats":null,"type":null},{"value":"14221","labl":"Salt mining, les saline","stats":null,"type":null},{"value":"14291","labl":"Mining and quarrying, n.e.c.","stats":null,"type":null},{"value":"15111","labl":"Processing & preservation - poultry","stats":null,"type":null},{"value":"15119","labl":"Processing & preservation - meat and allied products","stats":null,"type":null},{"value":"15121","labl":"Processing & preservation - fish and fish products","stats":null,"type":null},{"value":"15131","labl":"Processing & preservation -  fruits and vegetables","stats":null,"type":null},{"value":"15141","labl":"Vegetable, animal oils and fats  manufacturing","stats":null,"type":null},{"value":"15201","labl":"Establishment  for the preparation\/packing & storage of butter and other dairy products","stats":null,"type":null},{"value":"15202","labl":"Ice\/Ice cream factory - manufacturing","stats":null,"type":null},{"value":"15311","labl":"Grain milling - (flour, rice, cereals)","stats":null,"type":null},{"value":"15321","labl":"Starches and starch products manufacturing","stats":null,"type":null},{"value":"15331","labl":"Animal feeds manufacturing","stats":null,"type":null},{"value":"15411","labl":"Bread manufacturing (with or without pastry), boulangerie","stats":null,"type":null},{"value":"15412","labl":"Pastries and cakes manufacturing, patisserie","stats":null,"type":null},{"value":"15413","labl":"Biscuits manufacturing","stats":null,"type":null},{"value":"15419","labl":"Bakery products, n.e.c.","stats":null,"type":null},{"value":"15421","labl":"Sugar manufacturing","stats":null,"type":null},{"value":"15431","labl":"Sugar confectionery manufacturing","stats":null,"type":null},{"value":"15441","labl":"Macaroni, noodles, couscous and similar farinaceous products manufacturing","stats":null,"type":null},{"value":"15491","labl":"Tea manufacturing","stats":null,"type":null},{"value":"15492","labl":"Vinegar manufacturing","stats":null,"type":null},{"value":"15493","labl":"Pickles manufacturing","stats":null,"type":null},{"value":"15494","labl":"Grain milling - spices","stats":null,"type":null},{"value":"15495","labl":"Peanut butter manufacturing","stats":null,"type":null},{"value":"15499","labl":"Food products manufacturing, n.e.c.","stats":null,"type":null},{"value":"15511","labl":"Beer manufacturing","stats":null,"type":null},{"value":"15521","labl":"Wine manufacturing","stats":null,"type":null},{"value":"15531","labl":"Malt liquors and malt manufacturing","stats":null,"type":null},{"value":"15541","labl":"Soft drinks & mineral waters production","stats":null,"type":null},{"value":"16001","labl":"Tobacco manufacturing","stats":null,"type":null},{"value":"17111","labl":"Yarn spinning only","stats":null,"type":null},{"value":"17112","labl":"Thread spinning only","stats":null,"type":null},{"value":"17113","labl":"Weaving","stats":null,"type":null},{"value":"17119","labl":"Spinning & weaving of textile, n.e.c.","stats":null,"type":null},{"value":"17121","labl":"Spinning and dyeing","stats":null,"type":null},{"value":"17122","labl":"Weaving and dyeing","stats":null,"type":null},{"value":"17123","labl":"Dyeing only","stats":null,"type":null},{"value":"17129","labl":"Spinning, weaving & finishing of textile, n.e.c.","stats":null,"type":null},{"value":"17211","labl":"Woven labels manufacturing","stats":null,"type":null},{"value":"17219","labl":"Textile goods except wearing apparel manufacturing (e.g. towels, bedsheets, tarpaulin ,  etc.)","stats":null,"type":null},{"value":"17221","labl":"Rugs & carpets manufacturing","stats":null,"type":null},{"value":"17231","labl":"Cordage, rope twine and netting manufacturing","stats":null,"type":null},{"value":"17291","labl":"Textile manufacturing, n.e.c. (cuffs, collars, braids, laces, ribbons, embroidery, etc.)","stats":null,"type":null},{"value":"17301","labl":"knitting or crocheted","stats":null,"type":null},{"value":"17302","labl":"Knitting, dyeing and finishing","stats":null,"type":null},{"value":"18101","labl":"Pullovers and other knitted garments manufacturing","stats":null,"type":null},{"value":"18102","labl":"Tailor, seamstress, modiste","stats":null,"type":null},{"value":"18103","labl":"Leather garments manufacturing","stats":null,"type":null},{"value":"18104","labl":"Leather gloves manufacturing","stats":null,"type":null},{"value":"18105","labl":"Rubber gloves manufacturing","stats":null,"type":null},{"value":"18106","labl":"Knitting, dyeing of garments (e.g. T-shirts, track-suits etc.)","stats":null,"type":null},{"value":"18109","labl":"Wearing apparel manufacturing, except fur (e.g hat, belt, ties)","stats":null,"type":null},{"value":"18201","labl":"Fur manufacturing","stats":null,"type":null},{"value":"19111","labl":"Tanning & dressing - leather","stats":null,"type":null},{"value":"19121","labl":"Watch straps and bracelets (leather) manufacturing","stats":null,"type":null},{"value":"19122","labl":"Luggage, hand-bags and the like, saddlery and harness (leather) manufacturing","stats":null,"type":null},{"value":"19129","labl":"Luggage, hand-bags and the like, saddlery and harness (not of leather) manufacturing","stats":null,"type":null},{"value":"19201","labl":"Footwear manufacturing - leather","stats":null,"type":null},{"value":"19202","labl":"Footwear manufacturing - plastic","stats":null,"type":null},{"value":"19203","labl":"Footwear manufacturing - rubber","stats":null,"type":null},{"value":"19209","labl":"Footwear manufacturing - other","stats":null,"type":null},{"value":"20101","labl":"Sawmilling and planing of wood","stats":null,"type":null},{"value":"20211","labl":"Veneer sheets manufacturing, n.e.c.","stats":null,"type":null},{"value":"20221","labl":"Carpentry and joinery manufacturing","stats":null,"type":null},{"value":"20231","labl":"Coffins manufacturing\/undertaker","stats":null,"type":null},{"value":"20232","labl":"Wooden containers manufacturing","stats":null,"type":null},{"value":"20291","labl":"Maquettes, reduced ship models manufacturing","stats":null,"type":null},{"value":"20292","labl":"Cork manufacturing","stats":null,"type":null},{"value":"20299","labl":"Straw and plaiting products manufacturing, other (e.g basketery)","stats":null,"type":null},{"value":"21011","labl":"Pulp, paper  and paperboard manufacturing","stats":null,"type":null},{"value":"21021","labl":"Corrugated paper and containers of paper &  paperboard manufacturing","stats":null,"type":null},{"value":"21091","labl":"Postcards manufacturing","stats":null,"type":null},{"value":"21092","labl":"Paper labels manufacturing","stats":null,"type":null},{"value":"21093","labl":"Toilet paper, tissues manufacturing","stats":null,"type":null},{"value":"21099","labl":"Paper  and paperboard manufacturing,  other  (e.g envelopes, letter cards, carbon paper etc.)","stats":null,"type":null},{"value":"22111","labl":"Publishing - books, brochures, musical books and other publications","stats":null,"type":null},{"value":"22121","labl":"Publishing -  newspapers, journals and periodicals","stats":null,"type":null},{"value":"22131","labl":"Publishing - recorded media","stats":null,"type":null},{"value":"22191","labl":"Publishing - other (e.g graphic design)","stats":null,"type":null},{"value":"22211","labl":"Printing","stats":null,"type":null},{"value":"22221","labl":"Printing, services related to ( e.g bookbinding)","stats":null,"type":null},{"value":"22301","labl":"Reproduction of recorded media","stats":null,"type":null},{"value":"23101","labl":"Coke oven products manufacturing","stats":null,"type":null},{"value":"23201","labl":"Refining of petroleum products","stats":null,"type":null},{"value":"23301","labl":"Nuclear fuel processing","stats":null,"type":null},{"value":"24111","labl":"Chemicals (basic) manufacturing, except fertilizers and nitrogen compounds","stats":null,"type":null},{"value":"24121","labl":"Fertilizers and nitrogen compounds manufacturing","stats":null,"type":null},{"value":"24131","labl":"Plastics manufacturing - synthetic rubber","stats":null,"type":null},{"value":"24211","labl":"Pesticides and other agro-chemical products manufacturing","stats":null,"type":null},{"value":"24221","labl":"Printing ink manufacturing","stats":null,"type":null},{"value":"24222","labl":"Varnishes manufacturing","stats":null,"type":null},{"value":"24231","labl":"Toilet requisites manufacturing","stats":null,"type":null},{"value":"24232","labl":"Botanical products manufacturing","stats":null,"type":null},{"value":"24241","labl":"Soap manufacturing","stats":null,"type":null},{"value":"24242","labl":"Detergents & toilet preparations  manufacturing","stats":null,"type":null},{"value":"24243","labl":"Wax blends & liquid polish","stats":null,"type":null},{"value":"24244","labl":"Manufacture of perfumes, spirits & cosmetics","stats":null,"type":null},{"value":"24291","labl":"Glue manufacture","stats":null,"type":null},{"value":"24292","labl":"Processing of salt","stats":null,"type":null},{"value":"24293","labl":"Matches manufacturing","stats":null,"type":null},{"value":"24294","labl":"Materials used in the finishing of textiles (dyes) - manufacturing","stats":null,"type":null},{"value":"24299","labl":"Chemical products manufacturing, n.e.c.","stats":null,"type":null},{"value":"24301","labl":"Fibre synthetic, processing","stats":null,"type":null},{"value":"25111","labl":"Retreading & rebuilding tyre","stats":null,"type":null},{"value":"25112","labl":"Rubber tyres & tubes manufacturing","stats":null,"type":null},{"value":"25191","labl":"Rubber - other products manufacturing","stats":null,"type":null},{"value":"25201","labl":"Plastic bags manufacturing","stats":null,"type":null},{"value":"25202","labl":"Plastic pipes (PVC) manufacturing","stats":null,"type":null},{"value":"25203","labl":"Plastic door frames and fittings (PVC) manufacturing","stats":null,"type":null},{"value":"25204","labl":"Plastic tanks, reservoirs manufacturing","stats":null,"type":null},{"value":"25209","labl":"Plastic products manufacture(except footwear), n.e.c.","stats":null,"type":null},{"value":"26101","labl":"Glass and glass products manufacturing","stats":null,"type":null},{"value":"26911","labl":"Ceramic ware manufacturing - non-structural,  non-refractory","stats":null,"type":null},{"value":"26921","labl":"Ceramic ware manufacturing - refractory","stats":null,"type":null},{"value":"26931","labl":"Clay  product manufacturing - structural non-refractory","stats":null,"type":null},{"value":"26941","labl":"Lime 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Machine Operators","stats":null,"type":null},{"value":"8272","labl":"Dairy-Products Machine Operators","stats":null,"type":null},{"value":"8273","labl":"Spice Milling, Machine Operator","stats":null,"type":null},{"value":"8274","labl":"Pasta Production, Machine Operator","stats":null,"type":null},{"value":"8275","labl":"Oils and Fats Refining Machine Operator","stats":null,"type":null},{"value":"8276","labl":"Sugar Refining Machine Operators","stats":null,"type":null},{"value":"8277","labl":"Tea Processing Machine Operator","stats":null,"type":null},{"value":"8278","labl":"Operator, Wine Making Plant","stats":null,"type":null},{"value":"8279","labl":"Tobacco Production Machine Operators, NEC","stats":null,"type":null},{"value":"8280","labl":"Supervisors and Foremen, Mechanical Machinery Assembling","stats":null,"type":null},{"value":"8281","labl":"Mechanical Machinery Assemblers, NEC","stats":null,"type":null},{"value":"8282","labl":"Electrical Machinery and Equipment Assemblers, NEC","stats":null,"type":null},{"value":"8283","labl":"Electronic Precision Instrument Assembler","stats":null,"type":null},{"value":"8284","labl":"Metal, Plastic, and Rubber Products  Assemblers, NEC","stats":null,"type":null},{"value":"8285","labl":"Wood and Related Products Assemblers, NEC","stats":null,"type":null},{"value":"8286","labl":"Paperboard, Textile and Related Products Assemblers, NEC","stats":null,"type":null},{"value":"8290","labl":"Supervisors and Foremen, Machine Packing and Labelling","stats":null,"type":null},{"value":"8291","labl":"Other Stationary Machine Operators and Assemblers, NEC","stats":null,"type":null},{"value":"8321","labl":"Driver, Motor Tricycle, Goods","stats":null,"type":null},{"value":"8322","labl":"Salesperson - Driver","stats":null,"type":null},{"value":"8323","labl":"Driver - Guide, Bus","stats":null,"type":null},{"value":"8324","labl":"Tanker Driver","stats":null,"type":null},{"value":"8330","labl":"Supervisors and Foremen in Agricultural, Earth-Moving, Lifting and Other Mobile Materials","stats":null,"type":null},{"value":"8331","labl":"Motorised Forestry Equipment Operator","stats":null,"type":null},{"value":"8332","labl":"Operator\/Driver, Tar-Spreading Machine","stats":null,"type":null},{"value":"8333","labl":"Material Handling Elevator Operator","stats":null,"type":null},{"value":"8339","labl":"Other Agricultural, Earth-Moving, Lifting and Mobile Materials Handling Equipment Operators, NEC","stats":null,"type":null},{"value":"8341","labl":"Ships' Deck Crews and Related Workers, NEC","stats":null,"type":null},{"value":"9111","labl":"Street Vendor, Other Products","stats":null,"type":null},{"value":"9112","labl":"Salesperson, Telephone","stats":null,"type":null},{"value":"9121","labl":"Shoe Cleaning and Other Street Services Elementary Occupations, NEC","stats":null,"type":null},{"value":"9131","labl":"House Maid","stats":null,"type":null},{"value":"9132","labl":"Laboratory Attendant","stats":null,"type":null},{"value":"9133","labl":"Presser, Hand","stats":null,"type":null},{"value":"9141","labl":"Youth House Caretaker","stats":null,"type":null},{"value":"9151","labl":"Store Attendant","stats":null,"type":null},{"value":"9152","labl":"Watchpersons and Doorkeepers and Related Workers, NEC","stats":null,"type":null},{"value":"9153","labl":"Vending Machine Money Collector","stats":null,"type":null},{"value":"9160","labl":"Supervisor, Garbage Collections and Street Cleaning","stats":null,"type":null},{"value":"9161","labl":"Garbage Collector","stats":null,"type":null},{"value":"9162","labl":"Street Cleaners and Related Labourers, NEC","stats":null,"type":null},{"value":"9191","labl":"Poler\/Chain man","stats":null,"type":null},{"value":"9210","labl":"Supervisors Agriculture, Forestry, Fishery and Related Unskilled Workers, NEC","stats":null,"type":null},{"value":"9211","labl":"Vegetable Farm Labourer","stats":null,"type":null},{"value":"9212","labl":"Forestry Labourer","stats":null,"type":null},{"value":"9213","labl":"Fishery, Hunting and Other Labourers, NEC","stats":null,"type":null},{"value":"9310","labl":"Supervisors, Quarrying and Construction Labourers","stats":null,"type":null},{"value":"9311","labl":"Salt Pan Worker","stats":null,"type":null},{"value":"9312","labl":"Other Construction and Maintenance Labourers: Roads, Dams and Similar Constructions, NEC","stats":null,"type":null},{"value":"9320","labl":"Supervisor, Manufacturing Unskilled Workers","stats":null,"type":null},{"value":"9321","labl":"Assembling Unskilled Workers","stats":null,"type":null},{"value":"9322","labl":"Weigher, Hand","stats":null,"type":null},{"value":"9323","labl":"Printing and Related Labourers, NEC","stats":null,"type":null},{"value":"9329","labl":"Other Manufacturing Labourers, NEC","stats":null,"type":null},{"value":"9330","labl":"Supervisors, Transport and Freight Handling Labourers, NEC","stats":null,"type":null},{"value":"9331","labl":"Hand Carter","stats":null,"type":null},{"value":"9332","labl":"Animal Carter","stats":null,"type":null},{"value":"9333","labl":"Vehicle Loader\/Helper","stats":null,"type":null},{"value":"9339","labl":"Weighbridge Attendant","stats":null,"type":null},{"value":"9999","labl":"Rodent Exterminator","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V49","name":"Empstatus","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"99","var_end_pos":"99","var_width":"1","var_rec_seg_no":"1","labl":"Employment  status","var_qstn_preqtxt":"Insert as appropriate:  SEE - self-employed with employees SEW - self-employed without employees FW - working without pay for spouse or other relative in his\/her farm or business A - apprentice\/ trainee with or without pay EM - employee paid by the month EO - employee paid by day, week, fortnight, job PC - member of producers' cooperative OTHER- other (specify)","var_val_range":[{"units":"REAL","min":"1","max":"8"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"SEE \u2013 Self-employed with employees","stats":null,"type":null},{"value":"2","labl":"SEW - Self-employed without employees","stats":null,"type":null},{"value":"3","labl":"FW \u2013 Working without pay for spouse or other relative in his\/her farm or business","stats":null,"type":null},{"value":"4","labl":"A \u2013 Apprentice\/trainee with or without pay","stats":null,"type":null},{"value":"5","labl":"EM - Employee paid by month","stats":null,"type":null},{"value":"6","labl":"EO - Employee paid by day, week, fortnight, job","stats":null,"type":null},{"value":"7","labl":"PC - Member of producer's co-operative","stats":null,"type":null},{"value":"8","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Not Stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V50","name":"Lengthofservice","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"100","var_end_pos":"101","var_width":"2","var_rec_seg_no":"1","labl":"Length of service with employer","var_qstn_preqtxt":"Give number of completed years.\nIf less than one year, write:\n'LESS THAN ONE YEAR'.\n\nPlease note that length of service with EMPLOYER is required and NOT at your job.  Thus for persons in public service give total length of service and NOT time spent in their present grade.\n\nFor self-employed persons, give the time during which they have been self-employed.","var_qstn_qstnlit":"How long has the person worked for his\/her present or most recent EMPLOYER?","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V51","name":"Income","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"102","var_end_pos":"107","var_width":"6","var_rec_seg_no":"1","labl":"Income","var_qstn_preqtxt":"State the total cash income in rupees received from all sources by the person for the month of June 2000.\n\nPlease include:\nincome from paid employment (wages and salaries, commissions, bonuses, etc. before any deductions)\nincome from self-employment (gross receipts from trade, business, profession, crop cultivation, etc. less expenses of operation)\nincome of members of producers' co-operatives\nproperty income (interests, dividends, rent received less current maintenance expenses)\nsocial security benefits (old age pension, widow's pension, invalid pension, child's allowance, unemployment hardship relief, etc.)\nother income (retirement pension from a funded pension plan or former employer, life insurance annuity benefit, widow's and children pension, alimony\/ maintenance, scholarship grants, gifts and remittances in cash etc.).\n\nWhere any income is received daily, weekly, fortnightly, quarterly, half-yearly or yearly, insert income apportioned on a monthly basis.","var_qstn_qstnlit":"If no income was received, write: 'NIL'.","var_val_range":[{"units":"REAL","min":"0","max":"999999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"}],"variable_groups":[]}