DDI-IND-MOSPI-NSSO-62nd-Sch2dot2-AF-2005-06
Unorganised Manufacturing Enterprises Survey [AREA Frame] : NSS 62nd Round : July 2005 - June 2006
| Name | Country code |
|---|---|
| India | IND |
Enterprise Survey [en/oth]
Following the first Economic Census 1977, small establishments and enterprises not employing any hired worker [and henceforth called 'own account enterprises' (OAEs)] engaged in manufacturing and repairing activities were surveyed on sample basis in the thirty-third round of NSS during 1978-79.
As a follow-up to the second Economic Census 1980, own account enterprises and Non-directory Establishments engaged in manufacturing and repairing activities (i.e., OAMEs and NDMEs respectively) were surveyed in the fortieth and forty-fifth rounds of NSS during July 1984-June 1985 and July 1989-June 1990 respectively. The Directory Manufacturing Establishments (DMEs) were surveyed during October 1984-September 1985 and October 1989 to September 1990 respectively by a group of special staff (Assistant Superintendents only) of the Field Operations Division (FOD) of the NSSO under the technical direction of the CSO.
As a follow-up to the third Economic Census 1990, the first integrated survey on unorganised manufacturing and repairing enterprises covering OAMEs, NDMEs and DMEs was undertaken during the fifty-first round of NSS (July 1994-June 1995).
Following this, two other surveys were undertaken - (i) Special Enterprise Survey on enterprises in the unorganised sector during the period August 1998 to June 1999 and (ii) Informal sector enterprises as part of NSS 55th round during July 1999 to June 2000. Manufacturing sector was part of coverage in both these surveys.
As a follow up of fourth Economic Census 1998, survey of manufacturing enterprises in the unorganised sector was conducted in the 56th round of NSS during July 2000 to June 2001.
The 62nd round was basically a repetition of 56th round survey in terms of concepts and coverage.
An all-India survey on unorganised manufacturing enterprises was carried out by the National Sample Survey Organisation (NSSO) as a part of the 62nd round of National Sample Survey (NSS) during July 2005 – June 2006.
The 62nd round was earmarked for survey on (i) unorganised manufacturing enterprises under the two-digit codes 15 to 37 (Section 'D') of NIC-2004 and enterprises under cotton ginning, cleaning and baling (NIC-2004, code 01405),
This survey covered:
(a) Manufacturing enterprises not registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948
(b) Manufacturing enterprises registered under Section 85 of Factories Act, 1948
(c) Non-ASI enterprises engaged in cotton ginning, cleaning and baling (NIC- 2004, code 01405)
(d) Non-ASI enterprises manufacturing bidi and cigar (those registered under bidi and cigar workers (condition of employment) Act, 1966 as well as those un-registered)
and excluded:
(a) Repairing enterprises not falling under Section 'D' of NIC- 2004
(b) Departmental units such as Railway Workshops, RTC Workshops, Government Mint, Sanitary, Water supply, Gas, Storage, etc. in line with ASI coverage
(c) Units covered under ASI
(d) Public Sector Units
The unorganised manufacturing sector has roughly about one-third share in the total contribution by the manufacturing sector in the GDP. Recognizing the importance of the unorganised manufacturing sector in terms of its share in GDP as well as in total employment, NSS has taken up this subject in many of its rounds.
Sample survey data [ssd]
V1.0; Re-organised anonymised dataset for public distribution.
2012-09-28
The term ‘unorganised manufacture’ under the coverage of 62nd round basically referred to all manufacturing enterprises, which were not covered by ASI. All government and public sector undertakings were also outside the coverage of the survey. In terms of National Industrial Classification (NIC) 2004 codes, the 62nd round survey on unorganised manufacture covered the NIC 2-digit codes 15-37. In addition, enterprises engaged in cotton ginning, cleaning and baling (NIC 2004 code 01405) were also covered under the survey It is to be noted that only those manufacturing enterprises, which operated for at least 30 days (15 days for seasonal enterprises) during the last 365 days preceding the date of survey, were eligible for survey.
One salient feature of the sample design adopted during the 62nd round was the use of list frame in order to capture sufficient number of relatively ‘bigger’ manufacturing units under the coverage of the survey. It is quite natural that even within the unorganised manufacturing sector, there are likely to be some very ‘big’ non-ASI manufacturing units whose contribution to total gross value added is likely to be substantial. Thus, with a view to improving the overall estimate of gross value added per worker, total number of workers, total input, total output, etc., a dual frame approach was considered appropriate for sampling purposes in NSS 62nd round. A list of 8,000 big non-ASI manufacturing enterprises for the urban sector only was prepared as per the data of the census of manufacturing enterprises conducted by Development Commissioner of Small Scale Industries (DCSSI) in 2003. This list served as the list frame. All these units in the list frame were considered for survey without resorting to any sampling. For the coverage of all other unorganised manufacturing enterprises in the universe (i.e. other than 8,000 enterprises featuring in the list frame), an area frame approach was followed for sampling of unorganised anufacturing units in stages. It is worthwhile to mention that this dual frame approach was experimented for the first time in the 62nd round.
In the area frame approach, the list of all the villages (panchayat wards in case of Kerala) / urban blocks of the country served as the sampling frame of FSUs. The first stage units (FSUs) were villages (panchayat wards in case of Kerala) in the rural sector and urban blocks in the urban sector. The ultimate stage units were unorganised manufacturing enterprises in both the sectors.
Design-based estimates of aggregates for any selected survey characteristic were obtained separately for list frame and area frame. Finally these two sets of estimates were added to get the pooled aggregate estimate for the combined frame. .
3.1 Structure of Schedule 2.2:
Total number of blocks: - 12
Blocks 0 and 1: - identification of the enterprise
Block 2: - Some operational characteristics and background information of the enterprises.
Blocks 3, 3.1, 4 and 4.1:- These blocks of the schedule will be used to record the operating expenses and receipts of the enterprise.
Blocks 3 and 4 will record the principal expenses and receipts whereas blocks 3.1 and 4.1 will record the other expenses and receipts. Care may be taken so that there is no omission or duplication of entries on expenses between blocks 3 and 3.1. Similarly, omission or duplication of recording receipts may be avoided between blocks 4 and 4.1. Schedule 2.2 has been designed in such a way that the different types of receipts and expenses for mixed activity of enterprises can also be accommodated within the framework of blocks 3 and 4. To meet this objective, each of these two blocks has been subdivided into 2 sub-blocks. The first sub-block is meant for specifically recording the manufacturing activity whereas the second sub block is for recording the other activities, if any, including the purchase/ sale of commodities without any transformation. If the enterprise is carrying out mixed activities of two or more types of manufacturing, the data of blocks 3 and 4 will refer to all the manufacturing activities taken together.
Block 5: Calculation of gross value added of the enterprise will be done here. If the value of the receipts in block 4 is collected at ex-factory price, then distributive expenses will not be recorded in this block. In normal situations, gross value added is found as positive. However, if the gross value added arrived at is negative, remarks justifying the reason of the same must be provided.
Blocks 6 and 7: The employment and emolument related particulars of the enterprise would be recorded here.
Blocks 8 and 9: information on fixed assets and outstanding loans of the enterprise would be recorded in these blocks.
The above items of information from any enterprise were collected either from books of accounts of the sample enterprises or through oral enquiry depending upon whether the enterprises maintained books of accounts or not.
Reference Period: The reference period for recording details of various items will depend primarily on whether the enterprise under survey can provide information from their books of accounts, or they can provide information orally.
If the enterprises are providing only oral information, three kinds of reference periods will be used to collect data in different blocks of the schedule, which are reference month, reference year and last date of the reference month.
Reference Month: This period will be used to collect data on various receipts and expenses as well as value added, employment, emoluments, rent and interest payments for the enterprises providing oral information.
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 5 kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year. All the sample first-stage units of the districts Poonch and Rajouri of Jammu & Kashmir, became casualty and therefore, the districts Poonch and Rajouri of Jammu & Kashmir, are outside the survey coverage. . Thus, the estimates of Jammu and Kashmir and all-India estimates do not include these two districts.
The survey used the interview method of data collection
| Name | Affiliation |
|---|---|
| National Sample Survey Office | M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI) |
| Name | Affiliation | Role |
|---|---|---|
| Survey Design Reearch Division | National Sample Survey Office | Questionnaire Desgn, Sampling methodology,Survey Reports |
| Field Operations Division | National Sample Survey Office | Field Work |
| Data Processing Division | National Sample Survey Office | Data Processing |
| Computer Centre | M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI) | Data Dissemination |
| Name | Abbreviation |
|---|---|
| M/o Statistics & Programme Implementation, GOI | MOSPI |
| Name | Affiliation | Role |
|---|---|---|
| Governing council and Working Group | GOI | Finalisation of survey study and Questionnaire |
Outline of sample design: Two frames were used for the 62nd round survey viz. List frame and Area frame.
List frame:
This was used only for urban sector and that too for selection of manufacturing enterprises only. For unorganised manufacturing enterprises, a list of about 8000 big non-ASI manufacturing units in the urban sector prepared on the basis of the data of the census of manufacturing enterprises conducted by Development Commissioners of Small Scale Industries (DCSSI) in 2003 was used as list frame.
The 'big' DCSSI units in the urban sector had been identified by the criteria given below:
(1) From the list of registered SSI units, units not registered under sections 2m(i) or 2m(ii) of Factories Act, 1948 and belonging to NIC '98 codes 01405, 15 - 37 were considered.
(2) Out of the above units, the units whose gross value of output in 2001 were more than 6 times the average output (Rs. 14,32,314) of all urban SSI units were separated out.
(3) From the above units, those with 6 or more workers were identified as the big units for list frame. About 8000 such units constituted the list frame.
All these units in the list frame were to be surveyed and there was not any sampling for list frame. To avoid duplication, these units were excluded from the list of enterprises prepared in the selected urban blocks/villages drawn from the area frame. There was no sub-round restriction for the list frame units.
All the enterprises in the list frame are common to both central and state samples.
Area Frame:
In the area frame approach, the list of all the villages (panchayat wards in case of Kerala) / urban blocks of the country served as the sampling frame of FSUs. The first stage units (FSUs) were villages (panchayat wards in case of Kerala) in the rural sector and urban blocks in the urban sector. The ultimate stage units were unorganised manufacturing enterprises in both the sectors. However, in case of
large FSUs requiring hamlet-group (hg) / sub-block (sb) formation, one intermediate stage in the sampling involved the selection of two hg's / sb's from each FSU out of a minimum of three hg's/sb's formed in the FSU. Of these two selected hg's/sb's, one was selected with probability '1' (termed as segment 1) and another one (termed as segment 2) was selected from among the remaining hg's/sb's of the FSU at random. The hg/sb selected with certainty (i.e. segment 1) was the hg/sb having maximum number of directory manufacturing establishments (DMEs) (or with maximum number of non-directory manufacturing establishments (NDMEs) if there was no DME, or with
maximum number of own account manufacturing enterprises (OAMEs) if there was no DME/NDME, or with maximum population if there was no DME/NDME/OAME4 in the entire FSU). Smaller FSUs without any hg/sb formation were identified/categorized as segment 1 for the purpose of survey (segment 2 does not exist for such FSUs). As regards the first stage stratification, two basic strata were formed within each district of a State/UT: rural stratum comprising all rural areas of the district and urban stratum consisting of all urban areas of the district. However, each city with a population of one million or more as per Census 2001 was invariably treated as a separate stratum by itself. For details of stratification, sub-stratification and selection of sample FSUs, reference
may be made to estimation procedure document.
For each of segments 1 and 2 of the selected sample FSUs, a frame of eligible manufacturing enterprises was prepared by the field investigators by visiting each every house/household within the selected geographical area. While doing so, if any enterprise of the list frame was encountered, care was taken not to list it again within segment 1 or 2 as a part of the area sample / area frame to guard against duplication of enterprises between the two types of frames. Listing and sampling of enterprises in the area frame was ndependent for each of segments 1 and 2. In this context, it may be mentioned that for each selected FSU of rural sub-strata 1 and 2
only, segment 9 was also carved out within the FSU, which comprised top 10 big non-ASI registered SSI manufacturing units
located within the boundaries of the entire FSU. The list of such units for selected FSUs was made available to the field investigators in order to facilitate formation of segment 9. Respective frames of segments 1 and 2 in these FSUs excluded the units listed under
segment 9.
All the eligible enterprises listed under each of segments 1, 2 and 9 were stratified into 2 broad second-stage strata by enterprise type i.e. OAME & NDME/DME. Each of these two broad second-stage strata was further divided into 3 broad manufacturing groups (BMG) i.e. BMG 1, BMG 2 and BMG 3. BMG 1 comprised eligible enterprises belonging to NIC codes 15 and 20. BMG 2 consisted of eligible enterprises belonging to NIC Codes 23, 27, 30-35 and 01405 while all other eligible enterprises belonging to the rest of the NIC codes under coverage formed BMG 3. Thus within a segment for any given sample FSU, six ultimate second-stage strata were formed by jointly considering the broad second-stage strata and BMG. A total of 12 manufacturing enterprises - two from each ultimate second-stage stratum - were selected for detailed enquiry. In case of shortfall of enterprises in the frame of any particular second-stage stratum, compensation was made by selecting additional samples from other second-stage strata so that a total of 12 enterprises were selected from each FSU for detailed enquiry.
Design-based estimates of aggregates for any selected survey characteristic were obtained separately for list frame and area frame. Finally these two sets of estimates were added to get the pooled aggregate estimate for the combined frame. In this report,
discussion will be focused on the pooled estimate based on two types of frames used in the survey.
There was no deviation from the original sample deviation.
Out of 8,000 enterprises selected from the list frame, data could be collected from only 2,260 enterprises Thus a large percentage (72%) of the list frame enterprises became casualties. Among the enterprises which were treated as casualties, the majority (around 70%) actually belonged to the category of “Government/public sector undertaking/ASI units”, which were not under the coverage of 62nd round. Another 18% of the enterprises were found to be either non-operative or not traceable.
In the area frame, 80,637 enterprises (42,050 from rural India and 38,587 from urban India) spread over 4,798 villages and 5,125 urban blocks across the country were surveyed. It is worthwhile to mention here that even though a large percentage of list frame enterprises were not surveyed, theoretically the surveyed enterprises netted through the list frame and area frame represented the whole universe of
the unorganised manufacturing sector.
Thus, altogether a total of 82,897 unorganised manufacturing enterprises considering both list frame and area frame were surveyed.
Weights (or multipliers) are given at the end of each record. Wgt_ss is the variable for sub-sample-wise estimates and Wgt_combined for combined sub-sample estimates.
For generating subsample-wise estimates based on data of all subrounds taken together, either Subsample-1 enterpeises or Subsample-2 enterprises are to be considered at one time. Subsample code is available in the data file.
For generating subsample-combined estimates based on data of all subrounds taken together all enterprises are to be considered.
For collection of data from sample manufacturing enterprises, Schedule 2.2 was designed. The schedule was organized into 15 blocks. t. The items of information collected through different blocks of the schedule included the following:
Block-2- Particulars of operation and background information of the enterprise
Block-3-Principal operating expenses
Block-3.1- Other operating expenses
Block-4- Principal receipts
Block-4.1 Other receipts
Block-5-Gross value added
Block-6-Employment particulars
Block-7- Compensation to workers
Block-8- Fixed assets owned and hired
Block-9-Loan outstanding
| Start | End |
|---|---|
| 2005-07-01 | 2005-09-30 |
| 2005-10-01 | 2005-12-31 |
| 2006-01-02 | 2006-03-31 |
| 2006-04-01 | 2006-06-30 |
| Name | Affiliation | Abbreviation |
|---|---|---|
| Field Operations Division of Naional Sample Survey Office | Ministry of Statistics and Programme Implementation | NSSO(FOD) |
the fieldwork for the 62nd round was carried out during July 2005 to June 2006. The entire survey period was divided into four sub-rounds of three months each. In each of these sub-rounds, equal number of sample villages/urban blocks was allotted for survey with a view to ensuring uniform spread of fieldwork over the entire survey period. All efforts were made to complete the fieldwork in a sample village/block during the sub-round period to which it was allotted.
sub-round 1 : July - September 2005
sub-round 2 : October - December 2005
sub-round 3 : January - March 2006
sub-round 4 : April - June 2006
| Name | Affiliation | URL | |
|---|---|---|---|
| Computer Centre | M/O Statistics and Programme Implementation | http://mospi.nic.in/Mospi_New/site/home.aspx | nssodata@gmail.com |
Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay & Accounts Officer, Ministry of Statistics & Programme Implementation, payable at New Delhi.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
| Name | Affiliation | URL |
|---|---|---|
| ADG, SDRD , NSSO | M/O Statistics & PI, G/O India | http://mospi.gov.in/ |
| DDG, Computer Centre | Ministry of Statistics and Programme Implementation | http://mospi.nic.in/Mospi_New/site/home.aspx |
DDI-IND-MOSPI-NSSO-62nd-Sch2dot2-AF-2005-06
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Computer Centre | MOSPI, CC | M/O Statistics & Programme Implementation | Documentation of the study |
2012-09-29
Version 1.0 (September 2012)
