This layer shows total population count by sex and age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This layer shows disability status by sex and age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This layer shows hours worked, and those unemployed and not in labor force. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This layer shows poverty status by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status is based on income in past 12 months of survey.

This layer shows household size by number of vehicles available. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This layer shows six different types of disability. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

Abstract

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

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

Geographic coverage

National coverage

Analysis unit

Households

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Yes - visitors

UNIT DESCRIPTIONS: - Dwellings: The accommodation occupied by one household is the dwelling unit. - Households: A household is a group of persons who normally live and eat together, regardless of whether they are related. - Group quarters: Sometimes groups of people live together but cannot be said to belong to a household. Persons in hospitals, colleges, barracks and prisons are examples.

Universe

All persons who are in Uganda the night of the census, regardless of their nationality.

Kind of data

Census/enumeration data [cen]

Sampling procedure

SAMPLE DESIGN: A sample of approximately 10% of the rural Enumeration areas where a long questionnaire was administered to the households (excluding INSTITUTIONS) these areas (LONG_RURAL), while ALL urban areas (11.3% of the population) were enumerated with a long questionnaire (URBAN). Thus the data set consists of these two sets (LONG RURAL and URBAN). The data also includes a variable called weight which is record-specific. This is the weight which you should use, and the information you will get will be representative of the Household Population ONLY (= 98%).

SAMPLE UNIT: Enumeration Area

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 1,548,460

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule A: short form and Schedule B: long form

Abstract copyright UK Data Service and data collection copyright owner.

This Special Licence Access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset for England and Wales for 1921. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

The anonymised main I-CeM database that complements these names and addresses is available under End User Licence access: SN 9281, Integrated Census Microdata (I-CeM), England and Wales, 1921. See the catalogue record for 9280 for details on how to access the EUL data.

Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and webpages.

File format

These data are available in delimited .txt format. Due to the size of the file, it has been zipped in '.7z' format to ease download delivery. The file can be easily unzipped using open-source 7-Zip software or similar packages. Users may need to take advice from their organisation's IT service.

Main Topics:

Address of census schedule and name of person completing census schedule, together with names of persons entered on census schedule. Also includes matching identifiers for the I-CeM database.

This layer shows housing units in structure by tenure (owner or renter). This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This layer shows workers' place of residence by mode of commute. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

Abstract copyright UK Data Service and data collection copyright owner.

The 2001 Census: Special Licence Household Sample of Anonymised Records (SL-HSAR) dataset comprises Sample of Anonymised Records (SARs) data that relate to 29 April 2001. They were created by the Office for National Statistics (ONS) as part of the 2001 Census of Population. All households were asked to complete a form giving information about the household and all individuals living in the household. Completion of the form was compulsory for the entire population. The Census schedule includes questions on housing and tenure, and demographic and socio-economic information for all household members.

The dataset comprises SARs data for 1% of households in England and Wales, including imputed values for households which were not enumerated during the Census. Individual data for households larger than 11 residents have been suppressed. To protect confidentiality, age data have been grouped into 2-year bands and there is no geographical breakdown available. A small amount of perturbation has been applied to the data to protect confidentiality. As with the Individual Licensed SAR (see under SNs 7210 and 7211), separate variables indicate whether or not imputation or perturbation has been applied to any given variable for each case in the sample. Documentation, training and user support for these data is undertaken by the SARs team at the Cathie Marsh Centre for Census and Survey Research (CCSR). A further release of data, which contains additional derived variables, will be made available at a later date.

The Secure Access version replaces the previous Special Licence version that was held under SN 5278, which is no longer available. Prospective users of the Secure Access data will need to fulfil additional requirements, including completion of face-to-face training and agreement to Secure Access' User Agreement and Breaches Penalties Policy, in order to obtain permission to use that version (see 'Access' section below).

Detailed SARs data:
A more detailed version of these data, containing geographical information at the level of Local Authority, is available as a Controlled Access Microdata Sample (CAMS). These can be accessed at all ONS sites. Applications to use these data should be made to ONS; further details can be found on their CAMS web page. The CAMS file includes data for Scotland and Northern Ireland as well as England and Wales.


Main Topics:

A full range of census topics are included in the dataset, for example household structure, ethnicity and religion, housing, transport, employment, education and health and caring.

Abstract

Although the Census of Population was a regular decennial function since 1871, the Census of Agriculture had not been conducted in such a frequency. A census of Production, virtually Agricultural production was taken in 1921 and was followed by a partial censuses in 1924 and 1929. At these censuses. particulars of crop areas, livestock numbers, and production were recorded at village level.

In more recent times the Census of Agriculture had been conducted in 1946, 52, 62 and 73. At the '46 census, a plot-wise enumeration was undertaken of all blocks of land throughout the country, on which there existed at the time or had previously existed any kind of cultivation. This was the first comprehensive census of agriculture in Sri Lanka in recent times.

A deviation from this pattern of parcel-wise enumeration was first attempted at the 1952 census, but difficulties in completely enumerating the villages selected in the sample restricted the use of the census data on small holdings. The 1962 census, enumerated all holdings not less than 50 acres on a complete basis and a sample of 10 percent in the case of holdings less than 50 acres. In 1973 the larger holdings and all estates were completely enumerated for detailed information on the various characteristics and operations while a sample of small holdings were scientifically selected and enumerated.

Geographic coverage

National Coverage Urban, Rural and Estate

Analysis unit

The basic unit of enumeration was in this census was the operational holding (as distinct from the ownership holding) which was defined as all land and/or livestock used wholly or partly for agriculture production irrespective of title size legal form or location and is operated under one operational status.

Universe

The Census of Agriculture covered the entire island excluding the MC's of Colombo and Dehiwela-Mt. Lavinia which are predominantly residential and commercial areas where agricultural activity is insignificant.

The listing of holdings (other than estates) were carried out separately on a complete enumeration basis. Holdings were listed by house to house visit using the Census of Population frame. A list of estates were also prepared at the time of the population census which was updated to reflect the position in 1982.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Census of Agriculture 82 was carried out in two phases: a. The Peasant or Small Holding Sector b. The Estate or the Large Holding Sector

An Agriculture holding having at least one parcel of 20 acres in extent or more and under the same unit of management was considered as an estate. Other holdings were small holdings.

The census in the small holding sector was carried out in two stages. At the 1st stage the enumerator visited each and every census unit namely housing unit, living quarters other than housing unit and non-housing units in the country and screened out the Agriculture operators thro' a schedule known as Agriculture Census 1 (AC-1). After identifying the agricultural operators, the enumerators collected the following information in respect of their operational holdings through the schedule Agricultural Census - 2 (AC-2).

a. Characteristics of the operators - age, sex, educational status b. Type of ownership of holding c. Operational Status of operator d. Area of operational holding e. Area under principal crops. f. Irrigated and source of irrigation g. Agriculture machinery owned and used h. Numbers of livestock kept.

Along with the first stage census operation, the enumerators were instructed to summarize some important info obtained from AC-2 schedule on a summary sheet AC-4 in order to serve immediate needs of data users.

At the second stage a sample of 10% of the holdings was selected and the following info was collected thro' AC-3.

a. Population of operator's household b. Sources of income of operator's household c. Main occupation of the operator d. Type of holding e. Use of fertilizer and pesticides f. Land utilization and tenure pattern

The estate sector was covered thro' a mailed questionnaire AC-5. A complete list of estates has been prepared by the field staff and to all these estates, census questionnaires were posted along with brief instructions. The estate managers were requested to fill the questionnaire and post them back to the respective District commissioners of Census. The non-respondents were visited by the District Census Staff and finally the response rate was as high as 99%. Following items were covered through the estate schedule:

a. Location of estate b. Characteristics of the operator c. Total area of the estate d. Area under principal crop e. Tenure and land utilization f. Crop area and livestock numbers g. Use of fertilizer and pesticides h. Irrigation facilities i. Population and employment j. Agricultural employment k. Agricultural machinery

Cleaning operations

Data editing took place at a number of stages throughout the processing, including:

a) Manual editing and coding b) During data entry (Range edits) c) Computer editing - Structural and consistency d) Secondary editing e) Imputations

Detailed documentation of the editing of data can be found in the External resources Section.

Abstract

Computers offer exciting approaches to teaching that were not even dreamed of twenty years ago, but the extent to which the educational potential of computer technology will be realized, remains to be seen. Use of computers can revolutionize teaching and learning and could bring advances that would improve education dramatically. Ordinary students would make massive gains and bright students could meet greater challenges. Wherever illiteracy is a problem, it would be eliminated and handicapped students would have vast new vistas opened to them.

Teacher attitudes toward computer technology may be a significant factor in the use of computers in education. Computer literate individuals will reap greater benefits than their counterparts who lack that knowledge. To promote computer literacy of both teachers and students, the government is investing considerably. To evaluate the impact of these investments and thereby help ensure that the intended results are achieved, Information and Communication Technology (ICT) literacy of students and teachers should be measured periodically. The Department of Census and Statistics and the Ministry of Education conducted a census on Computer Literacy of Academic Staff of Government Schools, Approved Private Schools and Pirivenas to find out the computer literacy levels of teachers and ICT related facilities and hardware available in schools. This census was conducted on 2nd November 2006.

Geographic coverage

National Coverage - Government Schools

Analysis unit

School Teacher

Universe

All Government Schools All Approved Private Schools All Pirivenas

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

Two census Schedules were used to collect data in this study. The first - Census Schedule 1 - was a structured questionnaire to get the information on the teacher's own perceptions on their competencies in ICT. The ICT literacy of teachers was not measured by actually testing it by administering a test by the teachers' own perceptions of their competencies. A brief description of the information collected by using Census Schedule 1 is given below.

Part A : School Information
Part B : Demographic Characteristics
Part C : Knowledge on Computers
Part D : Use of Application Software
Part E : Use of Computers
Part F : Use of Internet
Part G : Use E-Mail
Part H : Knowledge on Hardware
Part  I : Use of Computers for Teaching

The second schedule was used to get the information on the ICT related facilities available in schools and summary of three questions of the first schedule. These questions are number of teachers in the school who are aware about the computers and those who are computer literate and those who can read and understand documents written in English language.

Cleaning operations

Data editing and coding done by the Census and Statistic Department staff.

Verification of the data is done by the Education Ministry Staff.

Abstract

The objectives of the 1991 Population Census were:

a. to develop a set of benchmark data for different purposes, b. to provide data for small administrative areas of the country on population, housing and household facilities, c. to provide reliable frames for different types of sample surveys, d. to provide sex disaggregated data of the population and other variables related to households, demographic, social and economic conditions of the country, and e. to provide detailed information on women, children, and the aged

Geographic coverage

National coverage Regional Urban and rural areas District Village Development Committee/Municipality

Analysis unit

private household, individual

Universe

The census covered all household members (usual residents) in private households.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The 1991 census collected data based on short form for the complete enumeration of the benchmark information and the long form for the sample enumeration of other socio-economic and demographic information. The long form was administered for population dwellings in about 20 percent of the total housing units. Based on these, estimates were generated at the district level with reliable degree of precision.

The sampling scheme of the 1991 Population Census for the long form is summarized below.

1. The sampling covered the private households only. For the institutional population, Schedule-1 only was administered.

2. For the sampling, 75 administrative districts formed the main strata and VDC's and municipalities within the district formed the domains.

3. There were around 36,000 wards in the country at the time of the census. For the purpose of the census enumeration some of the large wards were further divided into sub-wards. These wards and sub-wards formed the EA's for sampling. The total number of EAs thus formed was around 40,000.

4. Sampling was carried out in each EA; housing unit being the sampling unit.

5. The list of housing units and households served as the sampling frame for the EA. The housing units were selected by systematic sampling method. The sampling interval taken was 8.

6. The list of selected housing units was made available to the enumerator for the enumeration. All households and persons found in the selected units were enumerated.

7. The ratio method was used in making estimates for the sample.

8. Tabulation groups were created separately for tabulation of persons and those for households. The main control variables for the majority of tabulations for persons were two variables: age sex. Tabulation groups for household tabulations were formed in a different manner: taking households as a tabulation group in the domain.

9. To implement the ratio estimation, first weights were calculated. The weights for sample data were computed by dividing the 100 percent counts for the same tabulation groups in the domain by sample counts for the same tabulation groups in the domain. To avoid inconsistency due to rounding, the figures were converted to whole numbers.

This detailed sampling procedure is documented in the Technical Documents.

Mode of data collection

Face-to-face [f2f]

Research instrument

In 1991, both household listing and actual census field operation took place simultaneously, unlike in 1981 where household listing preceded total enumeration. Nevertheless, the number of items included in the household list was as comprehensive as before.

Two types of schedules were prepared. Form 1 for complete enumeration and Form 2 for sample enumeration. Both schedules contained questions on household as well as individuals.

FORM 1: (COMPLETE Enumeration) A. Household Information (Question relating to Household), House type & ownership, Agriculture land holding, Livestock/poultry raised for agriculture purpose, Female ownership on house, land and Livestock/Cattle, Small scale economic activities other than agriculture, Absentees from Household (HH), reasons & country of destination. B. Individual Information (Question relating to Individuals), Name, sex, age, relationship to the Household head, Caste/ethnicity, religion, Language spoken and citizen.

FORM 2: (SAMPLE Enumeration) A. Household Information (Question relating to Household), Household facilities (Radio, TV, etc.), Deaths in last 12 months in the Household. B. Individual Information (Question relating to Individuals), Place of birth, Migration, Literacy, Educational attainment, Marital status, Age at first Marriage, Children born, Economic/Non-economic activities, occupation/Industry, employment status, Reasons for not being active, Living arrangement of children below 16 years of age.

Questionnaire contents and the pre-testing of census enumeration procedure were conducted in four districts, Bajura from mountain, Mahottari from terai and Dhankuta as well as Kathmandu from the hilly region.

Cleaning operations

The completed schedules returned to the Headquarters from the field, were carefully edited which was followed by coding operations.

Data editing took place at a number of stages throughout the processing, including:

a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of SPSS data files

Response rate

At the time of census there were 3,914 VDC's and 58 municipalities. VDC's contained a total of 35,226 wards while urban areas contained 806 wards. Thus total numbers of wards in the country were 36,032.

For form 2, there is no available data for response rate.

Data appraisal

The quality of the 1991 census data is evaluated in two steps. The first step deals with the evaluation of the quality of the census data on selected aspects such as age reporting, fertility, mortality, etc. The second step examines the extent of coverage in the census enumeration.

A Post Enumeration Survey (PES) was designed to evaluate the 1991 census data quality with respect to completeness of coverage. It was scheduled to be conducted in August 1991 but the actual revisiting of sampled areas for reconciliation of the differences was completed by April 1992.

Abstract copyright UK Data Service and data collection copyright owner.

The aims of the project were as follows :
to collect and process information from the data relating to the Welsh language in the 1891 Census Enumerators' Returns in 20 selected communities in Wales;
to create computer-readable data files on the language ability of around 90,000 individuals, i.e. five per cent of the population;
to undertake a quantitative analysis of the socio-economic structure of Welsh/English language ability on the basis of the above data;
to develop a classification of occupations in order to explore links between economic activity and the process of language change;
to write a volume on the basis of the above in order to deepen our socio-cultural understanding of a society in which nearly a million people spoke Welsh and over half a million were monoglot Welsh.
Main Topics:

The dataset contains 35 files, each of which consists of a 100 per cent sample of the enumeration district in twenty communities selected from the 178 sub-registration districts in Wales, i.e. 90,000 individuals or five per cent of the total population of wales in 1891. Two specific datafiles were created for each district.
Variables in the first file identify : the individual person, enumeration district, schedule number, first name, surname, relation to head of household, marital status, gender, age, occupation, employment status, occupation code, country/county of birth, birthplace and language spoken.
Variables in the second file identify : the enumeration district, schedule number, whether a Welsh-language schedule was used, number of persons in the household, number of rooms and address.

Abstract

The 61st round of the Nationbal Sample Survey was conducted during July, 2004 to June, 2005. The survey was spread over 7,999 villages and 4,602 urban blocks covering 1,24,680 households (79,306 in rural areas and 45,374 in urban areas) and enumerating 6,02,833 persons (3,98,025 in rural areas and 2,04,808 in urban areas). Employment and unemployment were measured with three different approaches, viz. usual status with a reference period of one year, current weekly status with one week reference period and current daily status based on the daily activity pursued during each day of the reference week. Unless otherwise stated, ‘all’ usual status workers will mean all workers taking into consideration the usual principal and subsidiary status taken together.

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Household, individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Outline of sample design: A stratified multi-stage design has been adopted for the 61st round survey. The first stage units (FSU) are the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In the case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage is the selection of two hgs/sbs from each FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks has been considered as the sampling frame.

Stratification: Within each district of a State/UT, two basic strata have been formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will also form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.

Sub-stratification:

• Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed is 'r/2'. The villages within a district as per frame have been first arranged in ascending order of population. Then sub-strata 1 to 'r/2' have been demarcated in such a way that each sub-stratum comprises a group of villages of the arranged frame and has more or less equal population.

• Urban sector: If 'u' be the sample size for a urban stratum, 'u/2' number of sub-strata have been formed. The towns within a district, except those with population 10 lakhs or more, have been first arranged in ascending order of population. Next, UFS blocks of each town have been arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/2' number of sub-strata has been formed in such a way that each sub-stratum has more or less equal number of UFS blocks.

For towns with population 10 lakhs or more, the urban blocks have been first arranged by IV unit no. × block no. in ascending order. Then 'u/2' number of sub-strata has been formed in such a way that each sub-stratum has more or less equal number of blocks.

Total sample size (FSUs): 12784 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 14992 for state sample.

Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to the availability of investigators ensuring more or less uniform work-load.

Allocation of State/UT level sample to rural and urban sectors: State/UT level sample size is allocated between two sectors in proportion to population as per census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. A minimum of 8 FSUs has been allocated to each state/UT separately for rural and urban areas.

Allocation to strata: Within each sector of a State/UT, the respective sample size is allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level have been adjusted to a multiple of 4 with a minimum sample size of 4.

Selection of FSUs: Two FSUs have been selected from each sub-stratum of a district of rural sector with Probability Proportional to Size With Replacement (PPSWR), size being the population as per Population Census 2001. For urban sector, two FSUs have been selected from each sub-stratum by using Simple Random Sampling Without Replacement (SRSWOR). Within each sub-stratum, samples have been drawn in the form of two independent sub-samples in both the rural and urban sectors.

Selection of hamlet-groups/sub-blocks/households - important steps

Criterion for hamlet-group/sub-block formation: Large villages/blocks having approximate present population of 1200 or more will be divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below.

approximate present population of the sample village/block / no. of hgs/sbs to be formed (D)

less than 1200 (no hamlet-groups/sub-blocks): 1
1200 to 1799: 3 1800 to 2399: 4 2400 to 2999: 5 3000 to 3599: 6 …..and so on

For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows.

approximate present population of the sample village / no. of hgs to be formed

less than 600 (no hamlet-groups): 1
600 to 899: 3
900 to 1199: 4
1200 to 1499: 5 …..and so on

Two hamlet-groups/sub-blocks are selected from a large village/UFS block wherever hamlet-groups/sub-blocks have been formed, by SRSWOR. Listing and selection of the households are done independently in the two selected hamlet-groups/sub-blocks. In case hamlet-groups/sub-blocks are to be formed in the sample FSU, the same would be done by more or less equalizing population.

Formation of Second Stage Strata and allocation of households

For both Schedule 1.0 and Schedule 10, households listed in the selected village/block/ hamlet-groups/sub-blocks are stratified into three second stage strata (SSS) as given below.

Rural: The three second-stage-strata (SSS) in the rural sector are formed in the following order:

SSS 1: relatively affluent households
SSS 2: from the remaining households, households having principal earning from non- agricultural activity
SSS 3: other households

Urban: In the urban sector, the three second-stage strata (SSS) are formed as under:

Two cut-off points, say 'A' and 'B', based on MPCE of NSS 55th round, have been determined at NSS Region level in such a way that top 10% of households have MPCE more than 'A' and bottom 30% have MPCE less than 'B'. Then three second-stage-strata (SSS) are formed in the urban sector in the following order:

SSS 1: households with MPCE more than A (i.e. MPCE > A)
SSS 2: households with MPCE equal to or less than A but equal to or more than B ( i.e. B = MPCE = A)
SSS 3: households with MPCE less than B (i.e. MPCE < B)

The number of households to be surveyed in each FSU is 10 for each of the schedules 1.0 and 10. C

Selection of households for Schedules 1.0 and 10: From each SSS the sample households for both the schedules are selected by SRSWOR. If a household is selected both for schedule 1.0 and schedule 10, only schedule 1.0 would be canvassed in that household and the sample household for schedule 10 would be replaced by next household in the frame for schedule 10.

Mode of data collection

Face-to-face [f2f]

Research instrument

In the present round, Schedule 10 on employment-unemployment consists of 16 blocks.

The first three blocks, viz. Blocks 0, 1 and 2, are used to record identification of sample households and particulars of field operations, as is the common practice in usual NSS rounds. Similarly, the last two blocks, viz., Blocks 10 & 11, are again the usual blocks to record the remarks of investigator and comments by supervisory officer(s), respectively. Block 3 will be for recording the household characteristics like household size, religion, social group, land possessed and cultivated, monthly per capita consumer expenditure, etc., and Block 3.1 for recording particulars of indebtedness of rural labour households.

Block 4 is used for recording the demographic particulars and attendance in educational institutions of all the household members. Particulars of vocational training receiving/received by the household members will also be collected in block 4.

In Block 5.1, particulars of usual principal activity of all the household members will be recorded along with some particulars of the enterprises in which the usual status workers (excluding those in crop and plantation activities) are engaged. Information on informal employment will also be collected in block 5.1. Similarly, the particulars of one subsidiary economic activity of the household members along with some

Abstract

The 54th round of NSS has been devoted to the survey on common property resources, sanitation, hygiene & services including the usual household consumer expenditure enquiry. Information on common property resources and infrastructural facilities at village level has also been collected through a separate schedule. It may be mentioned that information on common property resources both at household level & village level has been collected for the first time in NSS, whereas some information on hygiene, sanitation & services were collected in the earlier NSS rounds viz. 49th, 47th & 44th rounds. Schedule 31 is the main household schedule canvassed in this survey. Through this schedule information has been collected on use of common property resources by rural households, particulars of sanitation and hygiene pertinent to sample households, use of communications facilities and services of financial institutions by household members, and details of journeys undertaken by household members. Some particulars of cultivation by rural households have also been collected.

Geographic coverage

The survey covered the whole of the Indian Union except (i) Ladakh & Kargil districts of J & K, (ii) 768 interior villages of Nagaland situated beyond 5 kms. of the bus route & (iii) 195 villages of A & N Islands which remain inaccessible throughout the year.

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

As usual, a stratified sampling design is adopted in this round. The first stage units are census villages (panchayat wards in case of Kerala) in the rural sector and the NSSO Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units are households in both the sectors.

Sampling frame for first stage units (a) Rural : The lists of census villages of 1991 population census (1981 census list for J & K) constitute the sampling frame for the rural sector. For Kerala, however, the list of panchayat wards has been used as the sampling frame for selection of panchayat wards in the rural sector. For Nagaland, the villages located within 5 kms. of a bus route constitute the sampling frame, whereas, for Andaman & Nicobar Islands, the list of accessible villages constitutes the sampling frame. (b) Urban : The lists of latest UFS blocks have been considered as the sampling frame for all cities and towns.

Stratification (a) Rural : At first, the following three strata (namely strata types 1, 2 & 3) are formed at the level of each state/u.t.:- Stratum 1 : list of uninhabited villages(as per '91 census). stratum 2 : villages with population 1 to 50 (including both the boundaries) stratum 3 : villages with population more than 15,000

Strata types 1, 2 & 3 above are formed provided there are at least 10 villages in each of the strata types in the state/u.t. as per 1991 population census. Otherwise, these villages are included in the general strata as described below :

After formation of the strata types 1, 2 & 3 (wherever applicable), the remaining villages of the state/u.t. are considered for formation of general strata. Each district with population less than 2 million as per 1991 census forms a separate stratum (however, district having a population of 2 million or more is divided into a number of strata as per usual procedure followed in NSS). For Gujarat, some districts cut across NSS regions. In such cases, the part of a district falling in an NSS region forms a separate stratum.

(b) Urban : Strata are formed within NSS region by grouping towns.

Sample size - first stage units: In all, 10,974 villages were planned to be surveyed in this round. Of these, 5,242 villages were allocated to the Central sample which was the part surveyed mainly by the NSSO field staff. The remaining villages were allocated to the State sample, which was the part to be surveyed by the State agencies. In the urban sector, the allocations for the Central and State samples were 1,788 and 2,256, respectively. The number of villages and urban blocks actually surveyed as the Central sample were 5,115 and 1,745, respectively.

Sample size - second stage units: For Schedule 31, a sample of 16 households from every selected village (or hamlet group) and 18 households from every selected urban block was planned to be surveyed. In the Central sample, the actual number of households surveyed was 78,990 in the rural sector and 31,323 in the urban sector.

Sampling deviation

There was no deviation from the original sampling design.

Mode of data collection

Face-to-face [f2f]

Research instrument

This is the main household schedule canvassed in this survey. Through this schedule information has been collected on use of common property resources by rural households, particulars of sanitation and hygiene pertinent to sample households, use of communications facilities and services of financial institutions by household members, and details of journeys undertaken by household members. Some particulars of cultivation by rural households have also been collected.

Schedule layout : This schedule has 15 blocks :

Block 0 : Descriptive identification of sample household Block 1 : Identification of sample household Block 2 : Particulars of field operations Block 3 : Household characteristics Block 4 : Particulars of commuting done by household members Block 5 : Drinking water, sanitation and hygiene Block 6 : Access to and use of communication and other facilities Block 7 : Details of journeys on tours undertaken by household members ended at any time during the last 60 days and involving overnight stay. Block 8 : Use of land resources in last 365 days Block 9 : Use of water resources in last 365 days. Block 10 : Average consumption, collection and sale of fuel wood and fodder Block 11: Collection and sale of selected items from village common land or forest land and their sale during last 365 days Block 12 : Some general information on uses of common land resources Block 13 : Some general information on cultivation by the household Block 14 : Some particulars of cultivation during 1997-98 (for major crops)