Ecostat

Government of Kerala 	
 
 
 	
Report on 	
Annual Survey of Industries 2018-19 	
Volume I 	
  
 
 
 
 	
 
 
 
 
 
 
 
 
 
 
 
 
 	
ASI DIVISION 	
DEPARTMENT OF ECONOMICS AND STATISTICS, KERALA

PREFACE 	
 	
O	ne  of  the  important  factors  that  concern  the  state's  economic  situation  is  industrial  growth.  The 	
manufacturing  industry  significantly  contributes  to  the  state's  GDP.    Surveys  are  important  for  giving 
planners and policy makers information so they can create new plans and strategies that can improve the 
industrial  sector.  The  Department  of  Economics  and  Statistics  conducts  the  major  survey  in  Kerala 
focused on the organised industrial sector is the Annual Survey  of Industries (ASI).  In accordance with 
the guidelines set forth in the Collection of Statistics Act of 2008, the survey is carried out each year in 
collaboration with the Central Statistics Office (IS Wing), Kolkata. 	
The report on Annual Survey of Industries 2018â19 is published in two volumes.  The Volume I 	
highlights  the  key  characteristics  of  the organized  manufacturing  sector.    An  attempt  has  been  made in 
this  volume  to  analyze  the  major  characteristics  based  on  industrial  classification  and  States/Districts. 
The  characteristics  such  as  fixed  capital,  working  capital,  invested  capital,  employment  information, 
Gross Value Added (GVA), input,  output,  profit, and income are estimated based on the  annual returns 
of  the  factory  sector  for  the  financial  year  2018â19.    The  Volume  II  of  the  publication  provides  the 
detailed table of major characteristics at 2/3/4 âdigit level industrial classification by State and Districts. 	 	
The survey is conducted under the provisions of Collection of Statistics Act 2008 and Collection 	
of Statistics Rules 2011. The Deputy Directors of the District offices are designated as Statistics officers 
for  conducting  the  survey  in  their  respective  jurisdiction.  The  field  work  and  data  entry  work  are 
deputed to Statistical  Investigators which is further  scrutinized  by the Research officers. The data entry 
is done using the MS-Access based e-schedule package provided by Central Statistics Office (IS Wing). 
Further,  processing  and  tabulation  of  data  is  done  at  the  Directorate  as  per  the  guidelines  of  Central 
Statistics Office (IS Wing), Kolkata. The present report is prepared by combining 791 state sample units 
(surveyed by DES), 791 Central Sample units and 1994 Census sector units (attended by NSSO, FOD). 	
The  guidance  and  support    extended  by  Smt.  Sunitha  Bhaskar,  Deputy  Director  General,  NSO, 	
Sri. Rajiv Kumar, SSO ( NSO,FOD), Kollam, and P.Santhosh, SSO (NSO, FOD), Thiruvananthapuram 
was  incredible.  The  incessant  and  dedicated  work  done  by  the  District  level  officers,  field  staffs  land 
Directorate  level officers for the success of the survey is highly commentable. I also express my sincere  
appreciation to the entire team for their extraordinary work and commitment.  	
The  survey's  specified  industrial  units'  cooperation  and  the  technical  support  given  by  the 	
Central Statistics Office (IS Wing) in Kolkata and the NSSO (FOD) in Thiruvananthapuram are indeed 
honoured. 	
I  hope  this  publication  will  serve  as  a  reference  book  and  research  material  in  Industrial 	
Statistics. 	
Suggestions for improvement in scope and content of this report are always welcome. 
 
 	
 	
                   	SAJEEVU P.P 	
Place: Thiruvananthapuram	                                                                                  	Director	 	
Date  :  14/10/2022

Contributions 	
 	
Directorate level supervision &  
Report Editing 
 
Data Analysis & Report Writing	 	
:-	 	Smt. Lathakumari C.S, 
              Additional Director (General) 
Sri. P.D Santhoshkumar,  
              Additional Director (State Income)	 	
:- 	Smt. Shiny P.G,  
Assistant Director (Rtd)  (ASI Division	) 	
Smt. Soni  S.C, 	Assistant Director (ASI Division) 	
 	
 	
Smt. Reeja P.S, Research Officer 	(ASI Division) 	
District level supervisors &  
scrutiny officers 	
:- 	
Deputy Directors 	
 	
Research Officers 	
Data collection & data entry 
 	
:- 	
Statistical Investigators 	
Directorate level validation  :- 	
Smt. Beena R, R	esearch Assistant 	
 	
Smt. Deepa S Nair, Research Assistant	 	
 	
Kum. Baby Sindhu, 	Statistical Assistant Gr II

CONTENTS 	
 	
Chapter	 	Contents	 	
Page No.	 	
1 	Introduction 	
13 - 20 	
2 	Organized Manufacturing Sector-State Estimates 	21 - 26 	
3 	District wise Estimates 	27 - 46 	
4 	Statistics based on National Industrial Classification (NIC 2008) 	47 - 66 	
5 	Annual Trends in Industrial Statistics 	67 - 78 	
6 	Rural and Urban Statistics of Manufacturing Sector 	79 - 84 	
Annexure 1	 	
 
Collection of Statistics  Act and Rules 
 	
87 - 94 	
Annexure 2	 	Pooling of ASI data and estimation procedure 	95 - 103 	
Annexure 3	 	ASI schedule of Enquiry 	104 -115 	
Annexure 4	 	Concepts, Definitions and Estimation Procedures 	116 - 121 	
Annexure 5	 	List of NIC-2008  4-digit codes covered under ASI 	122 - 126 	
Annexure 6	 	Factories Act 1948 	127

TECHNICAL ASSISTANCE AND SURVEY PROCESS 	
 	
Technical Guidance and support 	
National Statistical Office 	
Industrial Statistics Wing, Kolkata 	
ASI Survey Notification 	
Survey is notified in Kerala Government Gazette 	
Training programmes 	
Training programmes conducted for improving the skills of officials engaged in the survey so as to 	
enhance the reliability of survey. 	
Field work, Data entry and Scrutiny 	
Collection of data, data entry works and scrutiny are done in District Offices under the supervision 	
of Deputy Directors designated as Statistics Officer 	
Analysis and Report generation 	
Data analysis and report generation are done at the Directorate and report is published in 	
department website.

ï	 The  survey  estimated  7695  factories  in  the  organized  manufacturing 
sector of   Kerala.  
 	
ï	 The estimated invested capital of the factories is 	 70,31,597 lakhs.  Out of 	
the    total  invested  capital,    Fixed  capital  and  Physical  working  capital 
accounts to  about 69.79 % and 30.21 % respectively. 
 	
ï	 The estimated output and input from the factories production is  
  2,26,51,833  lakhs and 	 2,01,85,943 lakhs.  	
 	
ï	 The estimated profit earned by the factories is  	  8,24,389 lakhs. 	
 	
ï	 Across  the  state  the  factories  provide  employment  to  an  estimate  of  
342465  people.    Out  of  which  79.27  %  are  workers,  20.10%  employees 
other than workers and 0.62 % unpaid family member. 
 	
ï	 Out  of  230788  directly  employed  workers  1,31,597  are  men  and 	    99,191 	
are women which accounts to about 57 % and 43 % respectively. 
 	
ï	 The Gross Value Added of production of the factories is 	  24,65,890 	
 lakhs which is 12.21 % of total input.

Top Industries 	
R	Rank 	
Characteristics 	
Total No .of  Factories 	Fixed 
Capital 	
Total 
Persons 
Engaged 	
Output 	
Gross 
Value 
Added 
(GVA) 	
1 	Food Products 
(21.3%) 	
Coke & 
Refined 
Petroleu	
m 	
products 
(52.9%) 	
Food 	
Products 
(28.3%) 	
Coke & 
Refined 
Petroleum 
products 
(32.9%) 	
Food 	
Products 
(15.5%) 	
2 	
Other  Non-metallic 
mineral products 
(12.7%) 	
Food 	
Products 
(11.6%) 	
Others 
(9.6%) 	
Other 	
manufactur	
ing 	
(19.2%) 	
Chemicals 
& Chemical 	
products 
(15.4%) 	
3 	
Wood  &  products  of 
wood  &  cork,  except 
furniture;  manufacture  of 
articles of straw & plating 
materials (11.2%) 	
Rubber 
&plastic 
products 
(5.4%) 	
Rubber & 	
plastic 
products 
(8.9%) 	
Food 	
Products 
(16.3%) 	
Rubber & 	
plastic 
products 
(11.4%) 	
4 	Others 
(10.5 %) 	
Others 
(5.1%) 	
 	
Textiles 
(7.2%) 	
Rubber 
&plastic 
products 
(5.8%) 	
Coke &  
Refined 
Petroleum 
products 
(10.9%) 	
5 	Rubber & plastic products	 	
(8.3%) 	
Other 
Non-
metallic 
mineral 
products 
(4.9%) 	
Other 
Non-
metallic 
mineral 
products 
(5.9%) 	
Chemicals 
&Chemical 
products 
(4.5%) 	
Other Non-	
metallic 
mineral 
products 
(6.3%) 	
Aggregate 
Total (All 
industries)* 	
7695 	4907497 	342465 	22651833 	2465890 	
*Estimates of Fixed Capital, Output and GVA are in 	 lakhs

Top Districts 
 
 	
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
   	
 
 	
 
 
 
 	
 
 	
Rank	 	
Characteristics 	
Total 
No .of  	
Factories 	
Fixed 
Capital 	
Total 
Persons 
Engaged 	
Output 	
Gross Value 	
Added 
(GVA) 	
1 	Ernakulam 
(19.5%) 	
Ernakulam 
(69.8 %) 	
Ernakulam 
(29.8 %) 	
Ernakulam 
(69.5%) 	
Ernakulam 
(50.9%) 	
2 	Kollam 
(14.5%) 	
Palakkad 
(4.3 %) 	
Kollam 
(14.3 %) 	
Thrissur 
(5.5%) 	
Kottayam 
(8.0%) 	
3 	Thrissur 
 (11.4%) 	
Alappuzha 	
(4.1 %) 	
Alappuzha 
(10.0 %) 	
`Palakkad 
(4.5%) 	
Thrissur 
(7.5%) 	
4 	Kannur 
(9.3%) 	
Kottayam 
(4.0 %) 	
Thrissur 
(8.0 %) 	
Alappuzha 	
(4.3%) 	
Alappuzha 	
(5.8%) 	
5 	Alappuzha 	
(8.5%) 	
Thrissur 
(3.7 %) 	
Thiruvananth	
apuram 
(6.2 %) 	
Kottayam 
(4.0%) 	
Palakkad 
(5.7%) 	
Aggregate 
Total (All 
industries)*	 	
7695	 	4907497	 	342465 	22651833	 	2465890 	
*Estimates of Fixed Capital, Output and GVA are in 	 lakhs

Rates & Ratios 	
Estimates of some important rates and ratios as per ASI 2018-19 are given below:- 	
 
 	
ï	 	Fixed capital per factory in operation 	
ï	 	No. of persons engaged per factory in operation 	
ï	 	No. of workers per factory in operation 	
ï	 	Output per factory in operation 	
ï	 	Gross Value Added (GVA) per factory in operation 	
ï	 	Net Value Added (NVA) per factory in operation 	
ï	 	Output per person engaged 	
ï	 	Gross Value Added (GVA) per person engaged 	
ï	 	Net Value Added (NVA) per person engaged 	
ï	 	Wages per worker 	
ï	 	Fixed Capital to Net Value Added (NVA) 	
ï	 	Fixed Capital to Output 	
ï	 	Net Value Added(NVA) to Output 	
ï	 	Gross Value Added (GVA) to Fixed Capital 	
ï	 	Output to Input 	
ï	 	Profit to Output

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 	
 
 	
 CHAPTER 1 	
INTRODUCTION 	
 
 	
 	
Methodology of Annual Survey of Industries

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
Methodology of Annual Survey of Industries 
Industrial sector occupies an important position in Indian Economy. The Annual Survey of 	
Industries (ASI) is the main source of industrial statistics in Kerala  . Till  2009-10, the survey  was  
conducted  annually  under  the  statutory  provisions  of  the  Collection  of  Statistics  Act  1953    and 
Rules framed there under in 1959. From 2010-11 onwards, the survey is being conducted annually 
under the statutory provisions of the Collection of Statistics (COS) Act , 2008 and the rules framed 
there-under  in  2011.The  Collection  of  Statistics  Act,  2008  has    been  amended  in  2017  as 
Collection  of  Statistics  (Amendment)  Act,  2017  which  extends  the  coverage  to  All  India. 
Presently, ASI 2018-19 is being conducted under this amendment 
1.1. Scope and Coverage	 	
1.1.1.	The  ASI  extends  to  the  entire  State.    It  covers  all  factories  registered  under  Sections 	
2(m)(i)   and 2(m)(ii) of the Factories Act, 1948, wherein a âFactoryâ, which is  the primary 
statistical  unit  of  enumeration  for  the  ASI,  is  defined  as  âAny  premisesâ  including  the 
precincts thereof: 	â 	
i. 	Wherein  ten  or  more  workers  are  working  or  were  working  on  any  day  of  the 
preceding twelve months, and in any part of which a manufacturing process is being 
carried on with the aid of power or is ordinarily so carried on, or,  	
ii.	 	Wherein  twenty  or  more  workers  are  working  or  were  working  on  any  day  of  the 
preceding twelve months, and in any part of which a manufacturing process is being 
carried  on  without  the  aid  of  power  or  is  ordinarily  so  carried  on,  but  does  not 
include a mine subject to the operation of the Mines Act, 1952, or a railway running 
shed.  	
The âmanufacturing processâ referred to above has been defined [vide Section 2(k)] in 
the Factories Act, 1948 as: âAny processâ for: 	
I. 	making,  altering,  ornamenting,  finishing,  packing,  oiling,  washing,  cleaning, 
breaking up, demolishing or otherwise treating or adapting any article or substance 
with a view to its use, sale, transport, delivery or disposal; or,

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
II.	 	pumping oil, water or sewage ; or,  	
III.	 	generating , transforming or transmitting power; or,  	
IV.	 	composing  types  for  printing  by  letter  press,  lithography,  photogravure  or  other 
similar process or book binding; or,  	
V.	 	constructing,  reconstructing,  repairing,  refitting,  finishing  or  breaking  up  ships  or 
vessels; or,  	
VI.	 	preserving or storing any article in cold storage.  	
 	
1.1.2 	In  addition  to  Sections  2(m)(i)  &  2(m)(ii)  of  the  Factories  Act,  1948,  bidi&  cigar 	
units, employing 10 or more workers with the aid of power and 20 or more workers without 
the  aid  of  power  and  registered  under  the  Bidi  &  Cigar  Workers  (Conditions  of 
Employment)  Act,  1966  ,    all  the  electricity  undertakings  engaged  in  generation, 
transmission  and  distribution  of  electricity,  not  registered  with  the  Central  Electricity 
Authority(CEA),are also covered under ASI. 
 
1.1.3	  Starting  from  ASI  2014-15,  the  coverage  of  ASI  has  been  extended  beyond  the 	
Section 2m  (i) and 2m(ii)  of the  Factories  Act, 1948.  To start  with,  the units  with 100 or 
more employees, not registered under  Section 2m(i) and 2m(ii) of the Factories Act, 1948 
but    registered  under  any  of  the  seven  Acts/Board/Authority  viz.,  Companies  Act  1956, 
Factories  Act,  1948,    Shops  and  Commercial  Establishment  Act,  Societies  Registration 
Act,  Cooperative  Societies  Act,  Khadi  and  Village  Industries  Board,  Directorate  of 
Industries (District Industries Centre) in the Business Register of Establishments (BRE) as 
prepared by the State Government and available with National Accounts Division, Central 
Statistics  Office  and  verified  by  Field  Operations  Division  (FOD),  NSSO  are  also 
considered for selection.   
1.1.4 	Although  the  scope  of  the  ASI  was  extended  to  all  registered  manufacturing 	
establishments  in  the  country,  defence  establishments,  oil storage  and  distribution  depots, 
restaurants,  hotels,  cafe  and  computer  services,  departmental  units  such  as  railway 
workshops, RTC workshops, Govt. Mints, sanitary, water supply, gas storage units etc. are 
excluded from the purview of the Survey.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
1.2. Sampling Unit 	
1.2.1	  The  primary  unit  of  enumeration  in  the  survey  is  a  factory  in  the  case  of 	
manufacturing industries, a workshop in the  case of repair services, an undertaking or a 
licensee  in  the  case  of  electricity,  gas  and  water  supply  undertakings  and  an 
establishment  in  the  case  of  Bidi  and  Cigar  industries.  The  owner  of  two  or  more 
establishments  located  in  the  same  state  and  pertaining  to  the  same  industry  group,  is 
permitted  to  furnish  a  single  consolidated  return,  termed  as  âJoint  Returnâ.    Such 
consolidated returns are a common feature in case of some of the factories in ASI. 	
 
1.3 ASI Frame	 	
1.3.1	  The ASI frame is based on the lists of registered factories / units maintained by the 	
Chief  Inspector  of  Factories  (CIF)  in  the  State  and  those  maintained  by  registration 
authorities  in  respect  of  Bidi  and  Cigar  establishments  and  electricity  undertakings.  The 
frame  is  being  revised  and  updated  periodically  by  the  Regional  Offices  of  the  Field 
Operations  Division  (FOD)  of  NSSO  in consultation  with  the Chief  Inspector  of  Factories 
in each State. At the time of revision, the names of the de	âregistered factories are removed 	
from  the  ASI  frame  and  those  of  the  newly  registered  factories  are added.  While  updating 
the  frame,  only  newly  registered  units  are  added  to  the  existing  frame.  In  spite  of  regular 
updating  of  the  frame,  quite  a  number  of  factories  selected  for  the  survey  are  getting 
deleted during the survey owning to various reasons like non-existence, de-registration, out 
of coverage etc. 
1.3.2	  It is to be noted that apart from the factories in operation, the ASI frame comprises 	
factories which are categorised as âExisting with fixed assets and maintaining staff but not 
having  productionâ  and  âExisting  with  fixed  assets  but  not    maintaining  staff  and  not 
having productionâ. 	
1.4. Reference Period 	
1.4.1 	Reference period for ASI 2018	â2019 was the accounting year of the factory, ending 	
on  any  day  during  the  financial  year  2018	â2019  Thus  in  ASI  2018	â2019,  data  collected 	
from  establishments  relate  to  their  respective  accounting  years  that  ended  on  any  day 
between 1	st April 2018 and 31	st March 2019.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
1.5 Methodology of the survey  	
1.5.1	  The  methodology  of  the  survey  being  followed  by  the  guidelines  issued  by  National 	
Statistical  office  (NSO),  Industrial  statistics  (IS)  wing,  Kolkata  (Under  MOSPI).  The 
instruction manual, the software package and installation procedure will be receivingg from 
NSO  during  the  survey  period.  But  the  unit  level  data  for  pooling  with  state  sample  being 
provided  by  NSO  at  the  end  of  survey	. The  following  methodology  is  adopted  by  the  IS 	
wing for the survey.   	
 
1.6. Sample Design and Sample Allocation 	
1.6.1	   As per sampling design adopted in ASI 2018-19, ASI sample comprises two parts - 	
Central  Sample  and  State  Sample.  The  Central  Sample  consists  of  two  schemes:  Census 
and Sample. Under Census scheme, all the units are surveyed. 
1.6.2	 Census scheme	 	
a)	 	All  industrial  units  belonging  to  the  seven  less  industrially  developed  states/  UTâs  viz. 
Arunachal  Pradesh,  Manipur,  Meghalaya,  Nagaland,  Sikkim,  Tripura  and  Andaman  & 
Nicobar Islands.  	
b)	 	For  the  States/  UTs  other  than  those  mentioned  in  (a),  (i).  Units  having  75  or  more 
employees  from  Kerala,  and (ii).  All  units  covered  under  âJoint  Returnâ  (JR),  where  JR  is 
allowed  when  the  two  or  more  units  located  in  the  same  State/UT  belonging  to  the  same 
industry (3-digit level of NIC) under the same management. 	
c)	 	After  excluding  the  Census  Sector  units,  as  defined  in  paragraphs  a)  and  b)  above,  the 
strata  are  formed  at 	State  x  District  x  Sector  x  3digit  NIC	â2008  level.   	Here,  âsectorâ  is 	
very  broad  economic  activity  group  consisting  of  manufacturing,  electricity  generation 
activity and bidi producing activity.  Thus, in short, sectors are (i) Bidi, (ii) Manufacturing 
and  (iii)  Electricity.    All  units  belonging  to  the  strata  (i.e.,  formed  on  the basis of units in 
State  by  District  by  Sector  by  3-digit  of  NIC-08)  having  less  than  or  equal  to  4  units  are 
completely enumerated and are thus considered as âcensus sectorâ units 	
d)	 	Sample  Scheme:  All  the  remaining  units  in  the  frame  are  considered  under 	Sample 	
Scheme	. For all the states, 	strata are formed for each State x District x Sector x 3	âdigit 	
NIC	â2008  factories	.  The  units  in  each  stratum  are  arranged  in  descending  order  of  their 	
number of employees. Samples are drawn as per Circular Systematic Sampling technique.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
An  even  number  of  units  with  a  minimum  of  4  units  are  selected  and  distributed  in  four 
sub	âsamples.  It may be noted  that all the 4 sub	âsamples from a particular stratum may not 	
have equal number of units. 	
e)	 	Out  of  these  4  sub	âsamples,  two  pre	âassigned  sub	âsamples  are  given  to  NSSO  (FOD)  and 	
the other two	âsubsamples are given to State/UT for data collection.  	
f)	 	The entire census units 	plus	 all the units belonging to the two sub	âsamples given to NSSO 	
(FOD) are treated as the 	Central Sample.	 	
 	
g)	 	The units belonging  to the two sub	âsamples  allocated  to  State/UTs  are to  be canvassed by 	
the  respective  States/UTs.  Hence,  State/UT has to use the  data collected  by  NSSO  (FOD) 
and  processed  by  IS  Wing,  DPD,  and  NSSO  along  with  the  state  sample  data  while 
deriving the district level estimates for their respective State/UT. 	
h)	 	The entire census scheme units plus all the units belonging to the two sub-samples given to 
NSSO  (FOD)plus  all  the  units  belonging  to  the  two  sub-samples  given  to  State  /  UT  are 
required for pooling of Central and State Samples. 
 	
1.7. Estimation Procedure 	
1.7.1	    The procedures for estimation of the characteristics are shown in Annexure-2. 	
1.7.2	   The  results  presented  in  the  publication  are  based  on  the  unit  level  data  of  central 	
and  state  samples.  The  estimated  value  figures  given  in  this  publication  are  reported  in 
current  prices.  The  value  figures  are  generally  rounded  off  to  lakhs  of  rupees.  All  Kerala 
figures  are  rounded  off  separately  and  may  not  tally  with  the  sum  of  district  figures. 
Similarly,  all	âIndustry  figures  may  not  tally  with  the  sum  of  individual  industry  figures. 	
Also  the industry	âwise  totals  at  lower  level  may  not  tally  with  the next  higher level  due to 	
merging of industries carried out at different levels	. 	
 
1.8.  Schedule of Enquiry	 	
1.8.1	      The    schedule    for    ASI    2018-19aims    to    collect    data    on    assets    and 	
liabilities, 	
employment  and  labour  cost,  receipts,    expenses,	
  input  items  -  indigenous  and  imported, 	
products and by	âproducts, distributive expenses etc. 	
A  copy  of  the  ASI  2018-19schedule  is  given  as  Annexure-3.    The  different  concepts  and 
definitions used in ASI survey are given in Annexure-4.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
1.9. Classification of Industries	 	
1.9.1	  From  ASI  2008	â09,  NIC	â  2008  has  been  the  base  of  industry  classification.  It 	
classifies all the factories in the ASI frame in their appropriate industry groups on the basis 
of the principal  product manufactured.  This way  a unit gets classified in one and only one 
industry  group  even  though  it  might  be  manufacturing  products  belonging  to  different 
industries.  The  estimates  for  different  aggregates  presented  in  this  report  at  two  or  three 
digit level of industry correspond to the NIC	â2008 classification. 	
 
1.10.	   	Publications and Limitations 
1.10.1	  The results of ASI 2018-19 are released at 2-digit/3-digit level of NIC-2008 for the 	
State.  The  list  of  2/3-digit  level  of  NIC-2008  codes  along  with  descriptions  is  given  in 
Annexure  5.  This  report  contains  tables  related  to  capitals  and  value  added,  employment 
and labour cost, fuels consumed etc. 
1.10.2	  The  Collection  of  Statistics  Act  prohibits  disclosure  of  data  relating  to  individual 	
factories.  Therefore,  if  the  number  of  factories  under  any  industry  (2	âdigit/3	âdigit  level  of 	
NIC	â2008) in the state is less than three, the data have been combined to a similar industry 	
in order to conceal the identity of all such units belonging to the concerned stratum. 
1.10.3	  All  the  estimates,  especially  for  quantity  and  value  figures  for  any  particular  item 	
consumed and produced, are subject to  Statistical Error  as these are estimated on the basis 
of  a  selected  Sample.  The  consumptions  and  productions  are  not  estimated  separately  for 
those  items  for  which  the  number  of  observations  is  insufficient. They  have been  reported 
under 'others' as the estimates for those items may not be efficient. 
1.10.4	  As  per  tabulation  policy  it  has  been  decided  to  publish  the  detailed  information 	
corresponding  to  industry  codes  10  to  33,  38  and  58  following  NIC	â2008.  For  all  other 	
industry codes, the units have been clubbed and shown under a common industry '	Other	' in 	
different tables.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 	
CHAPTER 2 	
Statewide outlook of the  	
Industrial Statistics	
 	
 	
 	
Organised Manufacturing Sector â State Estimates

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
Statewide outlook of the Industrial Statistics	 	
 	
Factories in Kerala's organized/registered manufacturing sector 	
I	n  Kerala,  the  Annual  Survey  of  Industries  is  one  of  the  most  important  sources  of  industrial 	
statistics. It  is essential to frame industrial policies in order  to address the sector's issues  and,  as  a 
result,  achieve  a  balanced  economy.  Surveys  have  an  important  role  at  this  point.  When  relevant 
and  correct  data  is  analysed,  the  most  efficient  results  are  produced,  allowing  policymakers  to 
design new  methods capable of attaining  the  goal.   In  this part, we've attempted to summarise  the 
state's  manufacturing  industry  situation.  By  integrating  the  Central  sample  with  the  State  sample, 
the  main  features  of  the  organised  manufacturing  sector  for  the  financial  year  201	8	-19  were 	
estimated.  The  organised  manufacturing  sector  of  the  state  is  defined  by  registered  industries  that 
produce  goods.  Kerala's  manufacturing  sector  has	7695	  factories,  according  to  the  201	8	-1	9	  annual 	
survey  of  industries. 	6840	  factories  are  operational, whereas  855  are  not.  The  number  of  factories 	
that  are  not  in  operation  makes  up  roughly	11.11	%  of  the  total.  In  comparison  to  the  previous

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
financial year, estimated 	value	 reveal	s	 a slight increase of roughly 1.3 % in the number of factories 	
in the current year. 
Figure 1: Distribution of factories in operation and not in operation Kerala 	
 	
 	
Significant characteristics of organised manufacturing sector of Kerala 	
F	inancial  statement  analysis  is  an  important  tool  for  developing  effective  industrial  policies. 	
Annual  industry  surveys  help  to  a  large  extent  for  this.  One  facet  of  the  industrial  sector  is  the 
organised  manufacturing  sector.  The  profit  and  loss  account,  balance  sheet,  and  employment 
statistics  of  the  factories  in  this  sector  give  a  framework  within  which  the  economic  status  of  the 
sector can be analysed and further planning for improved development can be done.These remarks 
serve  as  the  survey's  data  source.  According  to  the  survey,  there  are  27  primary  features  of  the 
industrial  sector  that  can  be  estimated..The  number  of  factories,  the  capital  of  the  industries,  total 
input,  total  output,  Gross  Value  Added  (GVA),  Gross  Fixed  Capital  Formation  (GFCF),  net 
income,  profit,  and  so  on  are  some  of  the  important  features.  The  survey  also  calculates  the 
employment  data  of  workers  in  the  factories  of  manufacturing  sector  and  details  of  the  worker 
engaged in the factories of the manufacturing sector. 	
88.89% 	
11.11% 	
Factories in operation
Factories not in operation

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
Table 1: Estimate of selected characteristics of factories of Kerala for the year 2018-19 
 	
 	
Sl. No. 	Characteristics (All Industries)	 	Values in 	 lakh unless  	
otherwise mentioned	 	
1 	Number of factories 	7695	 	
2 	Factories in operation 	6840	 	
3 	Fixed Capital 	4907497	 	
4 	Physical Working Capital 	2124099	 	
5 	Working Capital 	1798995	 	
6 	Invested Capital 	7031597	 	
7 	Gross Value of Additions to Fixed Capital 	740005	 	
8 	Rent Paid 	5824	 	
9 	Outstanding Loan 	1640538	 	
10 	Interest paid 	236767	 	
11 	Rent received 	301	 	
12 	Interest received 	55469	 	
13 	Gross Value of P & M 	2977932	 	
14 	Value of Products & By-products' 	20281266	 	
15 	Total Output 	22651833	 	
16 	Fuel Consumed 	949617	 	
17 	Materials Consumed for Manufacturing 	17161571	 	
18 	Total Input 	20185943	 	
19 	Gross Value Added(GVA) 	2465890	 	
20 	Depreciation 	361438	 	
21 	Net Value Added(NVA) 	2104452	 	
22 	Net Fixed Capital Formation(NFCF) 	335095	 	
23 	Gross Fixed Capital Formation (GFCF) 	696533	 	
 
24	 
 
 
 	
Addition in stock of: 	 	
            (a) Materials, Fuels etc. 	22743	 	
            (b) Semi-Finished Goods 	9541	 	
            (c ) Finished Goods 	51372	 	
            (d) Total 	83656	 	
25 	Gross Capital Formation 	780189	 	
26 	Net Income 	1861860	 	
27 	Profit 	824389

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Employment and emoluments paid in the manufacturing industries 	
Production  is  significantly  influenced  by  the  amount  of  labour  that  the  manufacturing 
industries need. The number of man-days worked or the number of hours worked should be 
considered when analysing the change in productivity. 
The  survey  makes  some  important  employment-related  estimation,  like  the  number  of 
people  employed,  wages  or  salaries  paid,  etc.  According  to  the  data,  3,  42,465  people  are 
employed  by  the  state's  organised  manufacturing  sector  in  its  factories.  Out  of  these 
employees,  79.27%  are  workers,  20.10  %  are  employees  other  than  workers,  and  0.62  % 
are  unpaid  family  members  or  the  owner.  The  estimated  total  man-days  employed  in  the 
factories  is 	99,573	 	(in  thousands)Employerâs  w	ages  and  Salaries  including  bonus,  are 	
estimated to be 	886503 	lakhs, while the employerâs contribution is 	150968 	lakhs. 	
Table 2: Distribution of employment, man-days worked and emoluments paid to employees 
in manufacturing sector of Kerala 	
A.	    No. of Persons Engaged  (no.)  342465	 	
1. Workers 	271485	 	
1.1 Directly employed  230788	 	
1.1.1 Men 	131597	 	
1.1.2 Women  99191	 	
1.2 Employed Through Contractors 	40697	 	
2. Employees Other Than Workers  68838	 	
2.1 Supervisory and Managerial Staff 	30990	 	
2.2 Other Employees  37848	 	
3. Unpaid family members/proprietor etc. 	2143	 	
B.	 Total Man-days employed (in â000)  99573	 	
C	.  Wages and Salaries Including Employer's Contribution (	lakhs) 	1037471	 	
1 Wages and Salaries Including Bonus  886503	 	
1.1 Wages and Salaries 	841056	 	
1.1.1 Workers  505060	 	
1.1.2 Supervisory & Managerial Staff 	224351	 	
1.1.3 Other Employees  111646	 	
1.2 Bonus to all Staff 	45447	 	
2.Employer's Contribution  150968

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
CHAPTER 3 	
DISTRICT WISE ESTIMATES

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
District wise view of principal characteristics of 	
organized manufacturing sector 	
 	
Disparities  between  the  State's  different  districts  on  a  regional  and  geographic  level  could 	
be  reflected  in  their  industrial  statistics.  Planning  at  the  local  level  is  necessary  for  sustainable 
development  plans  that  are  supportive  of  success  in  this  sector  while  taking  into  account  the 
geographical peculiarities. Decentralized planning, which is essential for industrial development, is 
made possible by surveys and research at this level. The industrial industry  in  Kerala's 14 districts 
is vividly depicted in this section. The survey's results are crucial in determining which areas need 
to be addressed for greater development. 	
With 1501 factories, or nearly 19.5% of all estimated factories in Kerala, the Ernakulam 	
district tops the list. Wayanad district has the fewest factories, with only 69,(approx. 1%. of state 
value) (	see Figure 5	). 	
 	
Figure 5 	
Ernakulam  district  leads  the  other  14  districts  in  Kerala  (19.5%  of  state  value).  The  district  of 
Ernakulam  has  consistently  recorded  the  highest  percentage  of  factories  for  at  least  8  years.  
Kollam  district,  which  is  estimated  to  have  1119  factories,  has  the  second-highest  number.  Third 
place (11.41 % of state value), with 878 factories, goes to the Thrissur district . With an estimated

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
69  factories,  the  Wayanad  district  is  the  one  with  the  fewest  (approximately  1  %    of  state  value). 
(see Table 3). 	
Table 3: District wise distribution of Factories of Kerala, 2018-19 	
Districts	 	Number of factories	 	Percentage of factories	 	
Kasaragod 	356	 	
4.6	 	
Kannur  718	 	9.3	 	
Wayanad 	69	 	0.9	 	
Kozhikode  479	 	6.2	 	
Malappuram 	262	 	3.4	 	
Palakkad  523	 	6.8	 	
Thrissur 	878	 	11.4	 	
Ernakulam  1501	 	19.5	 	
Idukki 	153	 	2.0	 	
Kottayam  429	 	5.6	 	
Alappuzha 	654	 	8.5	 	
Pathanamthitta  217	 	2.8	 	
Kollam 	
1119	 	
14.5	 	
Thiruvananthapuram  336	 	4.4	 	
Total	 	7695	 	100	 	
 
Figure 6: District wise distribution of factories in organized manufacturing sector 	
 	
   	
0	
200
400
600
800	
1000
1200
1400
1600	
356 	
718 	
69 	
479 	
262 	
523 	
878 	
1501 	
153 	
429 	
654 	
217 	
1119 	
336

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
It's interesting to note that the estimated number of factories inactive in the state has reduced from 
1058(13.9%)  in  2017â18  to  855  (11.11%)  in  2018â19.  The  majority  of  idle  factories(210  out  of 
855)  are  located  in  the  Ernakulam  district,  accounting  for  24.6%  of  the  state's  value. Kannur  and 
Kollam  are  the  districts  with  the  second-  and  third-highest  numbers  of  factories  that  aren't  in 
operation  (21.5%  and  18.6%  of  state  value  respectively).  Table  4  and  Figure  7  provide  a  full 
depiction of the same. 
Table 4: District wise distribution of Factories not in operation in Kerala, 2018-19 
 	
Districts  Factories not in 	
operation 	
Percentage of factories not in operation 	
Kasaragod 	62	 	7.	3 	
Kannur  184	 	21.5	 	
Wayanad 	0 	0.0	 	
Kozhikode  20	 	2.3	 	
Malappuram 	23	 	2.7	 	
Palakkad  1	 	0.1	 	
Thrissur 	34	 	4.0	 	
Ernakulam  210	 	24.6	 	
Idukki 	5 	0.6	 	
Kottayam  44	 	5.1	 	
Alappuzha 	83	 	9.7	 	
Pathanamthitta  10	 	1.2	 	
Kollam 	159	 	18.6	 	
Thiruvananthapuram  17	 	2.0	 	
Total 	855	 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 7: District wise distribution of factories in operation and not in operation 	
 	
Capital of manufacturing sector 	
A  manufacturing  company's  capital  investment  is  one  of  the  elements  that  adds  value  to  the 
finished  product.  Working  capital  is  the  capital  that  is  used  in  the  day-to-day  operations  of 
production, whereas fixed capital is the capital that the factory owns in the form of land, buildings, 
plant  and  machinery,  transportation  equipment  and  other  equipment.  The  invested  capital  of  the 
industry is the total of the fixed capital and physical working capital. According to survey findings, 
the  manufacturing  sector  in  the  Ernakulum  district  has  the  largest  fixed  capital,  invested  capital, 
and  physical  functioning,  with  estimates  of 	  34,24,555  lakhs  (69.78%), 	45,92,147  lakhs 	
(65.31%),  and 	11,67,592  lakhs  (54.97%),  respectively.  While  Kasargod  district  has  the  least 	
fixed  capital  at 	9,568  lakhs  (0.19%  of  state  value),  invested  and  physical  working  capital  at 	
20,312lakhs (0.29%) and 	10,744 lakhs (0.51%), respectively. 	
 	
 	
0	
200
400
600
800	
1000
1200
1400
1600	
294 	
534 	
69 	
459 	
239 	
522 	
844 	
1291 	
148 	
385 	
571 	
207 	
960 	
319 	
62 	
184 	
0 	
20 	
23 	
1 	
34 	
210 	
5 	
44 	
83 	
10 	
159 	
17 	
Chart Title 	
Factories in operation	Factories not in operation

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
Table 5: District wise estimate of Fixed Capital, Physical working Capital and Invested Capital. 
 	
Districts 	Fixed Capital 	
(Value in 	akhs)	 	
Physical Working Capital 	
(Value in 	 lakhs) 	
Invested Capital 
(Value in 	lakhs) 	
Kasaragod 	9568	 	10744	 	20312	 	
Kannur  62815	 	41392	 	104206	 	
Wayanad 	15860	 	18734	 	34594	 	
Kozhikode  120503	 	63111	 	183615	 	
Malappuram 	43715	 	38469	 	82184	 	
Palakkad  210926	 	184929	 	395855	 	
Thrissur 	181222	 	106253	 	287474	 	
Ernakulam  3424555	 	1167592	 	4592147	 	
Idukki 	103698	 	27564	 	131263	 	
Kottayam  198477	 	90291	 	288768	 	
Alappuzha 	199060	 	144728	 	343788	 	
Pathanamthitta  68752	 	19702	 	88455	 	
Kollam 	160460	 	148708	 	309168	 	
Thiruvananthapuram	 	107886	 	61881	 	169767	 	
Total 	4907497	 	2124099	 	7031597

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
 	
Figure 8:     District wise distribution of fixed capital of factories in Kerala 	
 	
Input and Output 	
Any  policy that  seeks to  employ  available  resources in a  way that could increase  output is 
likely  to  succeed  in  its  objective.  The  input  and  output  of  the  manufacturing  sector  have 
been  estimated.  The  cost  of  the  fuels  used,  the  materials  used  in  manufacturing,  and  other 
costs are  included in  the  production process' input.  Gross output  is  defined  as  the  value of 
goods  and  by  products  ex-factory  produced  during  the  accounting  year,  as  well  as  the  net 
value  of  unfinished  goods  or  work-in-progress,  receipts  for  commercial  and  non 
commercial  services  provided  to  others,  the  value  of  semi-finished  goods  sold  in  the 	
Kasaragod 	
0.19% 	
Kannur 	
1.28% 	
Wayanad 	
0.32% 	
Kozhikode 	
2.46% 	
Malappuram 	
0.89% 	
Palakkad 	
4.30% 	
Thrissur 	
3.69% 	
Eranakulam 	
69.78% 	
Idukki 
2.11% 	
Kottayam 	
4.04% 	
Alappuzha 	
4.06% 	
Pathanamthitta 	
1.40% 	
Kollam 	
3.27% 	
Thiruvananthapuram 	
2.20%

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
current  year  from  the  previous  year,  the  sale  value  of  goods  sold  in  the  same  condition  as 
purchased,  and  the  value  of  electricity  generated  and  sold.  Ernakulam  district  has  the 
highest  input  and  output,  estimated  at 	1,44,85,605  lakhs  and 	1,57,39,574  lakhs,  	
respectively (71.8%) and (69.5% of the state value). Table 6, Figure 9, and Figure 10 show 
the same estimate. 	
Table 6: District wise estimate of Input and output of the factories of Kerala, 2018-19 	
 	
Districts 	Total Input 
(in 	 lakhs ) 	
Percentage 	
of input 	
Total Output	 	
(in 	 lakhs) 	
Percentage of 	
output 	
Kasaragod 	38832	 	0.19	 	53507	 	0.24	 	
Kannur  181306	 	0.90	 	226003	 	1.00	 	
Wayanad 	87976	 	0.44	 	97054	 	0.43	 	
Kozhikode  381534	 	1.89	 	472088	 	2.08	 	
Malappuram 	278469	 	1.38	 	324367	 	1.43	 	
Palakkad  875551	 	4.34	 	1016807	 	4.49	 	
Thrissur 	1060063	 	5.25	 	1245692	 	5.50	 	
Ernakulam  14485605	 	71.76	 	15739574	 	69.48	 	
Idukki 	168999	 	0.84	 	222271	 	0.98	 	
Kottayam  707095	 	3.50	 	904828	 	3.99	 	
Alappuzha 	826818	 	4.10	 	969173	 	4.28	 	
Pathanamthitta  118380	 	0.59	 	166633	 	0.74	 	
Kollam 	649098	 	3.22	 	777194	 	3.43	 	
Thiruvananthapuram  326217	 	1.62	 	436643	 	1.93	 	
Total 	20185943	 	100	 	22651833	 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
Figure 9: District wise distribution of input (in 	lakhs) of the factories in Kerala 	
 	
 	
Figure 10: 	District wise distribution of output (in 	 lakhs) of the factories in Kerala 	
 	
 	
0	
2000000
4000000
6000000
8000000	
10000000
12000000
14000000
16000000	
38832 	
181306 
87976 
381534 	
278469 	
875551 
1060063 	
14485605 	
168999 	
707095 	
826818 	
118380 	
649098 	
326217 	
0	
2000000
4000000
6000000
8000000	
10000000
12000000
14000000
16000000	
53507 	
226003 	
97054 	
472088 
324367 	
1016807 	
1245692 	
15739574 	
222271 	
904828 	
969173 	
166633 	
777194 	
436643

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Profit	 	
Total  emoluments  and  supplements  to  emoluments  are  subtracted  from  net  income  to  determine 
profit. The biggest profit was recorded in the Ernakulam district at around 	4,87,567 lakhs (59.1% 	
of  state  value).  With  only  roughly 	318  lakhs,  the  Kannur  district  has  the  least  profit.  Table  7 	
shows the profit made by the organised manufacturing sector in 14 districts of state. 
Table  7:  District  wise  distribution  of  Profit  earned  by  organised  manufacturing  sector  of 
Kerala. 	
Districts 	Profit 	
( in 	 lakhs) 	Percentage of profit 	
Kasaragod 	2361 	0.3 	
Kannur 	318 	0.0 	
Wayanad 	945 	0.1 	
Kozhikode 	17085 	2.1 	
Malappuram 	9625 	1.2 	
Palakkad 	49326 	6.0 	
Thrissur 	70634 	8.6 	
Ernakulam 	487567 	59.1 	
Idukki 	22775 	2.8 	
Kottayam 	72225 	8.8 	
Alappuzha 	41542 	5.0 	
Pathanamthitta 	10921 	1.3 	
Kollam 	16719 	2.0 	
Thiruvananthapuram 	22345 	2.7 	
Total 	824389 	100 	
Gross Value Added (GVA) 	
A  key  indicator  of  a  state's  GDP  contribution  is  the  value  added  by  each  industry.  By 
subtracting  the  value  of  all  input  from  all  output,  the  factory's  contribution  to  the  value  of 
the  goods  and  services  is  increased,  and  this  is  known  as  Gross  Value  Added.  The 
manufacturing sector of the Ernakulam district is estimated to contribute the most  	
12,53,969 lakhs, (50.9%, to the state's GVA). The remaining districts make up between 0 	
and 10% of the total. (View Table 8)

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 8: District wise distribution of Gross Value Added (GVA) of organised manufacturing sector of 
Kerala,  
 	
 	
 
 	
Districts  Gross Value Added (GVA) 	
( Value in 	Lakhs) 	
Percentage of GVA 	
Kasaragod 	14674	 	0.60	 	
Kannur  44697	 	1.81	 	
Wayanad 	9078	 	0.37	 	
Kozhikode  90554	 	3.67	 	
Malappuram 	45898	 	1.86	 	
Palakkad  141256	 	5.73	 	
Thrissur 	185629	 	7.53	 	
Ernakulam  1253969	 	50.85	 	
Idukki 	53273	 	2.16	 	
Kottayam  197733	 	8.02	 	
Alappuzha 	142355	 	5.77	 	
Pathanamthitta  48252	 	1.96	 	
Kollam 	128095	 	5.19	 	
Thiruvananthapuram  110426	 	4.48	 	
Total 	2465890	 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 11: District	
 wise distribution of Gross Value Added (GVA) of manufacturing sector in 	
Kerala.  	
 	
 	
Employment and Emoluments paid 	
The  work  force  that  is  available,  the  amount  of  time  spent  engaging  in  productive  activity,  the 
representation  of  women, the compensation  received,  etc.  are  some  of  the  key  elements  that  drive 
this sector's economic development. With an estimate of roughly 101,989 people (or 29.8 % of the 
state value), the Ernakulam district has the biggest number of people working in the manufacturing 
sector  in  the  state.  The  Kollam  area  comes  in  second  with  an  estimated  48950  workers  providing 
14.3%  of  the  state's  worth.  The  range  of  the  percentage  contribution  from  other  districts  ranges 
from 0 to 10. (see Table 9 and Figure 12). 
 	
Kasaragod 	
0.60% 	
Kannur 	
1.81% 	
Wayanad 	
0.37% 	
Kozhikode 	
3.67% 	
Malappuram 	
1.86% 	
Palakkad 	
5.73% 	
Thrissur 	
7.53% 	
Eranakulam 	
50.85% 	
Idukki 
2.16% 	
Kottayam 	
8.02% 	
Alappuzha 	
5.77% 	
Pathanamthitta 	
1.96% 	
Kollam 	
5.19% 	
Thiruvananthapuram 	
4.48%

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 9: District wise  distribution of number of persons  engaged in  manufacturing sector of 
Kerala. 	
Districts	 	Number of persons Engaged	 	Percentage of	 	
persons engaged 	
Kasargod 	10492 	3.1 	
Kannur  16777  4.9 
Wayanad 	2557 	0.7 	
Kozhikode  16782  4.9 
Malappuram 	8801 	2.6 	
Palakkad  18640  5.4 
Thrissur 	27302 	8.0 	
Ernakulam  101989  29.8 
Idukki 	7609 	2.2 	
Kottayam  18714  5.5 
Alappuzha 	34273 	10.0 	
Pathanamthitta  8258  2.4 
Kollam 	48950 	14.3 	
Thiruvananthapuram  21320  6.2 	
Total 	342465 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
Figure 12	: 	Distribution of number of persons engaged in factories of Kerala 	
 	
 	
The  survey  divides  the  respondents  into  three 	
categories:  workers,  employees  other  than 	
workers, and unpaid family members/proprietors, among others.  Workers can also be classified as 
directly  employed  or  employed  via  contractors.  The  Ernakulam  district's  manufacturing  industry 
has  the  most  directly  employed  workers  (25.8  %  of  state  value).  Out  of  these  30%  of  them  are 
women  and  70%  of  them  are  men.  With  a  share  of  19  %  of  state  value,  Kollam  district  ranks 
second  highest,  with  a  proportion  of  79.69%  for  women  and  20.31%  for  men  (see  Table  10  and 
Figure	
 1	
3	
). 	
 
 	
0	
20000
40000
60000
80000	
100000
120000	
10492 	
16777 	
2557 	
16782 	
8801 	
18640 	
27302 	
101989 	
7609 	
18714 	
34273 	
8258 	
48950 	
21320

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
0%	
10%
20%
30%
40%
50%
60%
70%
80%
90%	
100%	
15.44 	
45.12 	
58.30 	
78.10 	
81.20 	
75.54 	
69.15 	
70.02 	
70.21 	
81.61 	
50.59 	
77.81 	
20.31 	
62.87 	
84.56 
54.88 
41.70 
21.90 
18.80 
24.46 
30.85 
29.98 
29.79 
18.39 
49.41 
22.19 
79.69 
37.13 	
%  of Men	%  of Women	
Table 10: District wise gender based distribution directly employed workers in 
manufacturing sector of Kerala.  	
Districts 	
Men 	Women 	
Total 	
Kasargod 	713 	3906 	4619 	
Kannur 	5956  7245  13201 	
Wayanad 	969 	693 	1662 	
Kozhikode 	9011  2527  11538 	
Malappuram 	4597 	1064 	5661 	
Palakkad 	7481  2422  9902 	
Thrissur 	12616 	5629 	18245 	
Ernakulam 	41621  17824  59445 	
Idukki 	3397 	1441 	4838 	
Kottayam 	9411  2121  11532 	
Alappuzha 	13136 	12830 	25966 	
Pathanamthitta 	5013  1430  6444 	
Kollam 	8888 	34870 	43758 	
Thiruvananthapuram 	8787  5189  13976 	
Total 	131597 	99191 	
230788 	
 
Figure 13: District wise distribution of directly employed Men- women workers

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
   
The categorical distribution of employees working in manufacturing sector of 14 districts 
of the state is illustrated in the 	Table 11	. 	
Table 11: Categorical distribution of persons engaged in manufacturing sector of districts of 
Kerala 
 	
Districts 	Workers 	
Employees 
Other Than 	
Workers 	
Unpaid family 	
members/proprietor 	
etc. 	
Kasaragod 	9961 	426 	105 	
Kannur 	13999 	2633 	144 	
Wayanad 	2042 	492 	23 	
Kozhikode 	12729 	3954 	99 	
Malappuram 	6498 	2251 	53 	
Palakkad 	13858 	4621 	162 	
Thrissur 	20215 	6890 	196 	
Ernakulum 	77775 	23825 	389 	
Idukki 	5026 	2560 	23 	
Kottayam 	12852 	5786 	75 	
Alappuzha 	28583 	5460 	229 	
Pathanamthitta 	6527 	1650 	81 	
Kollam 	44160 	4316 	475 	
Thiruvananthapuram 	17258 	3974 	89 	
Total 	271485 	68838 	2143

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 14: 	Categorical distribution of persons engaged in manufacturing sector of districts of 	
Kerala 	
 	
In addition, the study makes an estimate of the wages paid to workers in the manufacturing sector. 
According to statistics, the earnings and salaries of employees in the Ernakulam district, including 
bonus,  amount  to  about 	3,53,153  lakhs,  while  the  employers'  contribution  comes  to  about 	
68,153. Table 12 and Figure 15 provide a full depiction of the same. 
Table 12: District wise Distribution of emoluments paid to employees in manufacturing 
sector of Kerala. 	
Districts 	Wages & Salary Including Bonus 	
Employers' 	
Contribution 	
Kasargod 	9485 	992 	
Kannur 	27580 	4278 	
Wayanad 	5004 	788 	
Kozhikode 	45690 	7837 	
Malappuram 	21724 	3687 	
Palakkad 	48158 	7986 	
Thrissur 	69342 	13089 	
Eranakulam 	353153 	68153 	
Idukki 	16984 	2191 	
Kottayam 	75087 	11263 	
Alappuzha 	60476 	8397 	
Pathanamthitta 	21725 	2268 	
Kollam 	73621 	9839 	
Thiruvananthapuram	 	58475 	10202 	
Total 	886503 	150968 	
0	
20000
40000
60000
80000	
Workers
Employees other than
workers

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
Figure 15: District wise distribution of emoluments (in 	lakhs) paid to the employees in 	
manufacturing sector of Kerala. 	
 	
 
 
 
 
 
 
 
 
 
 	
0	
50000	
100000
150000
200000
250000
300000
350000
400000	
9485 	
27580 	
5004 	
45690 	
21724 	
48158 	
69342 	
353153 	
16984 	
75087 	
60476 	
21725 	
73621 	
58475 	
992 	
4278 	
788 	
7837 	
3687 	
7986 	
13089 	
68153 	
2191 	
11263 	
8397 	
2268 	
9839 	
10202 	
Wages & salaries including Bonus	Employer's Contribution etc.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
CHAPTER 4 	
INDUSTRIAL STATISTICS BASED ON  	
NATIONAL INDUSTRIAL CLASSIFICATION 	
(NIC 2008)

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Estimation of principle characteristics of factory sector 	
by economic activity of the industries 	
 	
National  Industrial  Classification  (NIC),  2008  is  a  Statistical  Standard  used  to  group  industries 
according to the  economic activity they involve and to make comparisons easier. The NIC code is 
assigned  based  on  the  primary  product's  maximal  ex-factory  value  out  of  all  the  other  goods  and 
by-products  that  the  unit  produces.  It's  a  system  of  standard  industrial  classification  that  was 
created  to  make  it  easier  to  compare  with  international  standards  and  to  provide  a  foundation  for 
analysing  a  wide  range  of  industries  based  on  the  economic  activity  involved.  In  this  survey,  an 
effort  has  been  made  to  present  industrial  statistics  based  on NIC  classification.  It  helps decision-
makers  determine  how  much  each  economic  activity  contributes  to  the  state's  economy  and 
develop strategies that will advance the sector. 	
Manufacturing industries by 2-digit NIC, 2008 	
 
The  production  of  food  products  stands  for  the  biggest  percentage  of  factories  in  Kerala's 
organised  manufacturing  sector  (21.3%)  and  the  lowest  percentage  (0.03%)  of  companies  that 
produce  Waste  collection,  treatment  and  disposal  activities;  materials  recovery.  Non-metallic 
mineral  products  (12.7%)  and  wood  and  items  made  of  wood  and  cork,  excluding  furniture 
(11.2%)  respectively,  rank  second  and  third  in  terms  of  manufacturing  output.(see  Table  13  and 
Figure16).

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 13: Distribution of factories by major factory group at 2-digit NIC 2008 
 	
NIC 
Code	 	
Description	 	Number of 
factories 	
Percentage of 	
Factories	 	
10	 	Manufacture of food products 	1640	 	21.3	 	
11	 	Manufacture of beverages 	71	 	0.9	 	
12	 	Manufacture of tobacco products 	513	 	6.7	 	
13	 	Manufacture of textiles 	432	 	5.6	 	
14	 	Manufacture of wearing apparel 	51	 	0.7	 	
15	 	Manufacture of leather and related products 	195	 	2.5	 	
 	
16	 	
Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and platting materials 	
858	 	11.2	 	
17	 	Manufacture of paper and paper products 	135	 	1.8	 	
18	 	Printing and reproduction of recorded media 	152	 	2.0	 	
19	 	Manufacture of coke and refined petroleum 
products 	26	 	0.3	 	
20	 	Manufacture of chemicals and chemical products 	158	 	2.1	 	
21	 	Manufacture of pharmaceuticals, medicinal 
chemical and botanical products 	160	 	2.1	 	
22	 	Manufacture of rubber and plastic products 	635	 	8.3	 	
23	 	Manufacture of other non-metallic mineral 
products 	975	 	12.7	 	
24	 	Manufacture of basic metals 	122	 	1.6	 	
25	 	Manufacture of fabricated metal products, except 
machinery and equipment 	207	 	2.7	 	
26	 	Manufacture of computer, electronic and optical 
products 	49	 	0.6	 	
27	 	Manufacture of electrical equipment 	97	 	1.3	 	
28	 	Manufacture of machinery and equipment n.e.c 	85	 	1.1	 	
29	 	Manufacture of motor vehicles, trailers and 
semitrailers 	11	 	0.1	 	
30	 	Manufacture of other transport equipment 	26	 	0.3	 	
31	 	Manufacture of furniture 	135	 	1.8	 	
32	 	Other manufacturing 	81	 	1.1	 	
33	 	Repair and installation of machinery and 
equipment 	46	 	0.6	 	
38	 	Waste collection, treatment and disposal 
activities; materials recovery 	3 	0.03	 	
58	 	Publishing activities 	22	 	0.3	 	
 	Others 	810	 	10.5	 	
 	Total 	7695	 	100.0

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 16:	 Distribution of number of factories of major factory group at 2-digit NIC, 	
2008. 
 	
 	
 	
Capital of industries by 2-digit NIC, 2008 	
The  highest  fixed  asset  investments  in  2018â19  were  made  by  the  coke  and  refined  petroleum 
product  production  industries.  Fixed  capital  is  expected  to  be  worth 	25,95,190  lakhs,  or 	
approximately  52.88  %    of  the  state  value.  Food  manufacturing  industries  are  estimated  to  be 
worth 	5,69,610 lakhs, or about 11.61% of the state value. The remaining industries fixed capital 	
is between 0 and 10 % of state value (see Table 14 and Figure17). 
 
 	
0	
200
400
600
800	
1000
1200
1400
1600
1800	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58	
Others	
1640 	
71 	
513 	
432 	
51 	
195 	
858 	
135 
152 	
26 	
158 	
160 	
635 	
975 	
122 	
207 	
49 	
97 	
85 	
11 
26 	
135 	
81 	
46 	
3 	
22 	
810

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 14: Distribution of fixed capital by major factory group at 2-digit NIC 2008 
NIC 2 
digit  
Code 	
 	
Description 	
Fixed 
Capital 	
(Value In 	 	
Lakhs) 	
Percentage 
of Fixed 
Capital 	
10 	Manufacture of food products 	569610	 	11.61	 	
11  Manufacture of beverages  29653	 	0.60	 	
12 	Manufacture of tobacco products 	4730	 	0.10	 	
13  Manufacture of textiles  113558	 	2.31	 	
14 	Manufacture of wearing apparel 	24502	 	0.50	 	
15  Manufacture of leather and related products  27980	 	0.57	 	
16 	Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and platting materials 	
49471	 	
1.01	 	
17  Manufacture of paper and paper products  24161	 	0.49	 	
18 	Printing and reproduction of recorded media 	127570	 	2.60	 	
19  Manufacture of coke and refined petroleum 	
products 	
2595190	 	52.88	 	
20 	Manufacture of chemicals and chemical products 	150466	 	3.07	 	
21  Manufacture of pharmaceuticals, medicinal 	
chemical and botanical products 	
59137	 	1.21	 	
22 	Manufacture of rubber and plastic products 	265514	 	5.41	 	
23  Manufacture of other non-metallic mineral 	
products 	
240343	 	4.90	 	
24 	Manufacture of basic metals 	56722	 	1.16	 	
25  Manufacture of fabricated metal products, except 	
machinery and equipments 	
42718	 	0.87	 	
26 	Manufacture of computer, electronic and optical 
products 	
61408	 	1.25	 	
27  Manufacture of electrical equipment  21952	 	0.45	 	
28 	Manufacture of machinery and equipment n.e.c 	17575	 	0.36	 	
29  Manufacture of motor vehicles, trailers and 	
semitrailers 	
933	 	0.02	 	
30 	Manufacture of other transport equipment 	84965	 	1.73	 	
31  Manufacture of furniture  11686	 	0.24	 	
32 	Other manufacturing 	21851	 	0.45	 	
33  Repair and installation of machinery and 	
equipment 	
13831	 	0.28	 	
38 	Waste collection, treatment and disposal activities; 
materials recovery	 	
2267	 	0.05	 	
58  Publishing activities  37553	 	0.77	 	
 	Others 	252150	 	5.14	 	
 	Total  4907497	 	100.00

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
Figure 17	: Distribution of fixed capital (in 	 lakh) in the factory sector by 2-digit NIC,2008 	
 	
 	
According to survey results, the manufacturing of coke and refined petroleum products has 
the  greatest  invested  capital  at 	  30,19,759  lakhs  (42.95  %  of  state  value).  With  an 	
estimated  worth  of 	  10,85,724  lakhs,  or  roughly  15.44  %  of  state  value,  the  food 	
manufacturing  industries  are  estimated  to  be  in  second  place.  Table  15  and  Figure  18 
demonstrate the contribution of the remaining industries. 	
 
 
 	
0	
500000	
1000000
1500000
2000000
2500000
3000000	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58	
Others	
569610 	
29653 	
4730 	
113558 	
24502 
27980 
49471 	
24161 	
127570 	
2595190 	
150466 	
59137 	
265514 	
240343 	
56722 	
42718 	
61408 	
21952 
17575 	
933 	
84965 
11686 	
21851 	
13831 	
2267 	
37553 	
252150

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 15: Distribution of invested capital by major factory group at 2-digit NIC 2008 
NIC 2 
digit  
Code 	
Description  Invested 	
Capital (Value 
In 	 Lakhs) 	
Percentage 
of Invested 	
Capital 	
10 	Manufacture of food products 	1085724	 	15.44	 	
11  Manufacture of beverages  38195	 	0.54	 	
12 	Manufacture of tobacco products 	15995	 	0.23	 	
13  Manufacture of textiles  180129	 	2.56	 	
14 	Manufacture of wearing apparel 	40855	 	0.58	 	
15  Manufacture of leather and related products  48572	 	0.69	 	
16 	Manufacture of wood and products of wood and 
cork,except furniture ;manufacture of articlesof 
straw and platiting materials 	
100881	 	
1.43	 	
17  Manufacture of paper and paper products  39825	 	0.57	 	
18 	Printing and reproduction of recorded media 	148409	 	2.11	 	
19  Manufacture of coke and refined petroleum 	
products 	
3019759	 	42.95	 	
20 	Manufacture of chemicals and chemical products 	369726	 	5.26	 	
21  Manufacture of pharmaceuticals, medicinal 	
chemical and botanical products 	
110423	 	1.57	 	
22 	Manufacture of rubber and plastic products 	410507	 	5.84	 	
23  Manufacture of other non-metallic mineral 	
products 	
304678	 	4.33	 	
24 	Manufacture of basic metals 	138548	 	1.97	 	
25  Manufacture of fabricated metal products, except 	
machinery and equipments 	
90177	 	1.28	 	
26 	Manufacture of computer, electronic and optical 
products 	
121555	 	1.73	 	
27  Manufacture of electrical equipment  59056	 	0.84	 	
28 	Manufacture of machinery and equipment n.e.c 	40109	 	0.57	 	
29  Manufacture of motor vehicles, trailers and 	
semitrailers 	
2232	 	0.03	 	
30 	Manufacture of other transport equipment 	125796	 	1.79	 	
31  Manufacture of furniture  20377	 	0.29	 	
32 	Other manufacturing 	100940	 	1.44	 	
33  Repair and installation of machinery and 	
equipment 	
19070	 	0.27	 	
38 	Waste collection, treatment and disposal activities; 
materials recovery 	
2975	 	0.04	 	
58  Publishing activities  50369	 	0.72	 	
 	Others 	346713	 	4.93	 	
 	Total  7031597	 	100.00

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
 	
Figure 18: Distribution of invested capital (in 	 lakh) in the factory sector by 2-digit NIC,2008 	
 	
 	
Output of factory sector by 2-digit NIC 2008 	
The  industry  producing  coke  and  refined  petroleum  products  has  produced  at  the  highest estimate 
of 	74,49,089 lakhs (32.89 % of state value), followed by the other manufacturing estimated at 	
43,43,480  lakhs  (19.17  %  of  state  value).  The  detail  image  of  the  same  is  shown  in  Table  16  and 
Figure 19. 
 	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58	
Others	
1085724 	
38195 	
15995 	
180129 	
40855 	
48572 	
100881 	
39825 	
148409 	
3019759 	
369726 	
110423 	
410507 	
304678 	
138548 	
90177 	
121555 	
59056 	
40109 	
2232 	
125796 	
20377 	
100940 	
19070 	
2975 	
50369 	
346713

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 16: Distribution of output of factories by major factory group at 2-digit NIC 2008 	
NIC 2 
digit  
Code 	
 	
Description 	
Total Output   
(Value in 	  	
Lakhs) 	
Percentage 
of   Output 	
10 	Manufacture of food products 	3683183	 	16.26	 	
11 	Manufacture of beverages 	112182	 	0.50	 	
12 	Manufacture of tobacco products 	44658	 	0.20	 	
13 	Manufacture of textiles 	404979	 	1.79	 	
14 	Manufacture of wearing apparel 	92078	 	0.41	 	
15 	Manufacture of leather and related products 	162182	 	0.72	 	
16 	Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and plaiting materials 	
 	
260011	 	1.15	 	
17 	Manufacture of paper and paper products 	88065	 	0.39	 	
18 	Printing and reproduction of recorded media 	234331	 	1.03	 	
19 	Manufacture of coke and refined petroleum 
products 	
7449089	 	32.89	 	
20 	Manufacture of chemicals and chemical products 	1030426	 	4.55	 	
21 	Manufacture of pharmaceuticals, medicinal 
chemical and botanical products 	
252393	 	1.11	 	
22 	Manufacture of rubber and plastic products 	1303806	 	5.76	 	
23 	Manufacture of other non-metallic mineral products 	530197	 	2.34	 	
24 	Manufacture of basic metals 	595446	 	2.63	 	
25 	Manufacture of fabricated metal products, except 
machinery and equipments 	
317371	 	1.40	 	
26 	Manufacture of computer, electronic and optical 
products 	
295646	 	1.31	 	
27 	Manufacture of electrical equipment 	165427	 	0.73	 	
28 	Manufacture of machinery and equipment n.e.c 	80988	 	0.36	 	
29 	Manufacture of motor vehicles, trailers and 
semitrailers 	
6061	 	0.03	 	
30 	Manufacture of other transport equipment 	333141	 	1.47	 	
31 	Manufacture of furniture 	47017	 	0.21	 	
32 	Other manufacturing 	4343480	 	19.17	 	
33 	Repair and installation of machinery and equipment 	10893	 	0.05	 	
38 	Waste collection, treatment 	and disposal activities; 	
materials recovery	 	
5857	 	0.03	 	
58 	Publishing activities 	70763	 	0.31	 	
 	Others 	732161	 	3.23	 	
 	Total 	22651833	 	100.00

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 19: Distribution of output of factory sector by 2-digit NIC, 2008 	
 	
Gross Value Added (GVA) 	
The  industries  producing  Manufacture  of  food  products  contributed  the  most  to  the  state's 
manufacturing sector's Gross Value Added. According to the report, this industry contributes about 
15.5%  of  the  total  GVA.  Manufacturing  of  chemicals  and  chemical  products  (15.4  %)  and 
Manufacture  of  rubber  and  plastic  products  (11.4%)  are  the  two  industries  with  the  second  and 
third  highest  GVA,  respectively.  Table  17  and  Figure  20  provide  a  detailed  depiction  of  the 
remaining industries. 
 	
16.26% 	
0.50% 	
0.20% 	
1.79% 	
0.41% 	
0.72% 	
1.15% 	
0.39% 	
1.03% 	
32.89% 	
4.55% 	
1.11% 	
5.76% 	
2.34% 	
2.63% 	
1.40% 
1.31% 
0.73% 
0.36% 
0.03% 
1.47% 	
0.21% 	
19.17% 	
0.05% 	
0.03% 	
0.31% 	
3.23% 	
10	11	12	13	14	15	16	17	18	
19	20	21	22	23	24	25	26	27	
28	29	30	31	32	33	38	58	Others

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 17: Distribution of Gross Value Added (GVA) of factories by major factory group at 2-digit  
NIC 2008 	
 	
NIC 2 digit  	
Code 	
Description 	GVA 	
(Value In 	 	
Lakhs) 	
Percentage 
of GVA 	
10 	Manufacture of food products 	382976	 	15.5	 	
11 	Manufacture of beverages 	25224	 	1.0	 	
12 	Manufacture of tobacco products 	11563	 	0.5	 	
13 	Manufacture of textiles 	70762	 	2.9	 	
14 	Manufacture of wearing apparel 	36767	 	1.5	 	
15 	Manufacture of leather and related products 	31436	 	1.3	 	
16 	Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and plating materials 	
25854	 	1.0	 	
17 	Manufacture of paper and paper products 	17517	 	0.7	 	
18 	Printing and reproduction of recorded media 	94897	 	3.8	 	
19 	Manufacture of coke and refined petroleum 
products 	
269501	 	10.9	 	
20 	Manufacture of chemicals and chemical products 	379703	 	15.4	 	
21 	Manufacture of pharmaceuticals, medicinal 
chemical and botanical products 	
83322	 	3.4	 	
22 	Manufacture of rubber and plastic products 	279923	 	11.4	 	
23 	Manufacture of other non-metallic mineral products 	154984	 	6.3	 	
24 	Manufacture of basic metals 	32323	 	1.3	 	
25 	Manufacture of fabricated metal products, except 
machinery and equipments 	
37521	 	1.5	 	
26 	Manufacture of computer, electronic and optical 
products 	
86111	 	3.5	 	
27 	Manufacture of electrical equipment 	40266	 	1.6	 	
28 	Manufacture of machinery and equipment n.e.c 	21630	 	0.9	 	
29 	Manufacture of motor vehicles, trailers and 
semitrailers 	
1815	 	0.1	 	
30 	Manufacture of other transport equipment 	102563	 	4.2	 	
31 	Manufacture of furniture 	9027	 	0.4	 	
32 	Other manufacturing 	90866	 	3.7	 	
33 	Repair and installation of machinery and equipment 	4349	 	0.2	 	
38 	Waste collection, treatment and disposal activities; 
materials recovery 	
1524	 	0.1	 	
58 	Publishing activities 	27120	 	1.1	 	
 	Others 	146344	 	5.9	 	
 	Total 	2465890	 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Figure 20: Distribution of GVA (in 	 lakh) in the factory sector by 2-digit NIC, 2008 	
 	
 	
Income generated by the industries  	
According  to  survey  results,  the  biggest  income  is  produced  by,  Manufacture  of  chemicals  and 
chemical products which make it up around 17.7% of the state's total value. The manufacturing of 
food  is  ranked  second,  while  the  manufacturing  of  rubber  and  plastic  products  is  ranked  third, 
contributing  approximately  15.5%  and  13.0%  respectively.  The  contributions  from  all  other 
industries range from 0 to 10. Refer to Figure 21 and Table18.  
 
 
 	
0	
50000	
100000
150000
200000
250000
300000
350000
400000	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58	
Others	
382976 	
25224 	
11563 	
70762 	
36767 	
31436 	
25854 	
17517 	
94897 	
269501 	
379703 	
83322 	
279923 	
154984 	
32323 	
37521 	
86111 	
40266 	
21630 	
1815 	
102563 	
9027 	
90866 	
4349 	
1524 	
27120 	
146344

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 18: Distribution of Net Income of factories by major factory group at 2-digit NIC 2008.	 	
 	
NIC 2 
digit  
Code 	
Description 	
Net Income 
(Value In 	 	
Lakhs) 	
Percentage 
of Income 	
10 	Manufacture of food products 	288317 	15.5 	
11 	Manufacture of beverages 	20532 	1.1 	
12 	Manufacture of tobacco products 	11056 	0.6 	
13 	Manufacture of textiles 	47121 	2.5 	
14 	Manufacture of wearing apparel 	32708 	1.8 	
15 	Manufacture of leather and related products 	25083 	1.3 	
16 	
Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and platting materials 	
13338 	0.7 	
17 	Manufacture of paper and paper products 	11353 	0.6 	
18 	Printing and reproduction of recorded media 	70929 	3.8 	
19 	Manufacture of coke and refined petroleum 
products 	128292 	6.9 	
20 	Manufacture of chemicals and chemical 
products 	329054 	17.7 	
21 	Manufacture of pharmaceuticals, medicinal 
chemical and botanical products 	73844 	4.0 	
22 	Manufacture of rubber and plastic products 	242402 	13.0 	
23 	Manufacture of other non-metallic mineral 
products 	106002 	5.7 	
24 	Manufacture of basic metals 	18283 	1.0 	
25 	Manufacture of fabricated metal products, 
except machinery and equipments 	30266 	1.6 	
26 	Manufacture of computer, electronic and optical 
products 	75634 	4.1 	
27 	Manufacture of electrical equipment 	32028 	1.7 	
28 	Manufacture of machinery and equipment n.e.c 	18491 	1.0 	
29 	Manufacture of motor vehicles, trailers and 
semitrailers 	1613 	0.1 	
30 	Manufacture of other transport equipment 	95854 	5.1 	
31 	Manufacture of furniture 	6548 	0.4 	
32 	Other manufacturing 	56104 	3.0 	
33 	Repair and installation of machinery and 
equipment 	2406 	0.1 	
38 	Waste collection, treatment and disposal activities; 
materials recovery	 	1342 	0.1 	
58 	Publishing activities 	21370 	1.1 	
 	Others 	101891 	5.5 	
 	Total 	1861860 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
Figure 21:  Distribution of Income (in 	lakh) in the factory sector by 2-digit NIC,2008 	
 	
 	
 	
Gross Fixed Capital Formation (GFCF) 	
Gross Fixed Capital Formation is computed as the total of a producer's acquisitions of fixed assets 
over the accounting period, less disposals of those assets, plus a specific amount for services that 
increase the value of non-produced assets. The industries that produce coke and refined petroleum 
products have the largest GFCF, accounting for 49.9% of the state's value, followed by the food 
manufacturing sector at 12.5%.The same is seen in Figure 22 and Table 19. 
 
 	
0	
50000	
100000
150000
200000
250000
300000
350000	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58	
Others	
288317 	
20532 	
11056 	
47121 	
32708 	
25083 	
13338 	
11353 	
70929 	
128292 	
329054 	
73844 	
242402 	
106002 	
18283 	
30266 	
75634 	
32028 	
18491 	
1613 	
95854 	
6548 	
56104 	
2406 
1342 	
21370 	
101891

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
Table 19: Distribution of Gross Fixed Capital Formation of factories by major factory group by 2- 
by 2-digit  NIC 2008 
 
 
NIC 2 
digit  
Code 	
Description 	GFCF (Value 
In 	Lakhs) 	
Percentage 
of GFCF 	
10 	Manufacture of food products 	87033 	12.5 	
11 	Manufacture of beverages 	1993 	0.3 	
12 	Manufacture of tobacco products 	34 	0.0 	
13 	Manufacture of textiles 	6678 	1.0 	
14 	Manufacture of wearing apparel 	3461 	0.5 	
15 	Manufacture of leather and related products 	4116 	0.6 	
16 	Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and plating materials 	
9199 	1.3 	
17 	Manufacture of paper and paper products 	2795 	0.4 	
18 	Printing and reproduction of recorded media 	25754 	3.7 	
19 	Manufacture of coke and refined petroleum 
products 	
347832 	49.9 	
20 	Manufacture of chemicals and chemical products 	19557 	2.8 	
21 	Manufacture of pharmaceuticals, medicinal 
chemical and botanical products 	
31039 	4.5 	
22 	Manufacture of rubber and plastic products 	28862 	4.1 	
23 	Manufacture of other non-metallic mineral 
products 	
26085 	3.7 	
24 	Manufacture of basic metals 	7368 	1.1 	
25 	Manufacture of fabricated metal products, except 
machinery and equipments 	
5194 	0.7 	
26 	Manufacture of computer, electronic and optical 
products 	
8631 	1.2 	
27 	Manufacture of electrical equipment 	4178 	0.6 	
28 	Manufacture of machinery and equipment n.e.c 	1442 	0.2 	
29 	Manufacture of motor vehicles, trailers and 
semitrailers 	
74 	0.0 	
30 	Manufacture of other transport equipment 	30021 	4.3 	
31 	Manufacture of furniture 	1907 	0.3 	
32 	Other manufacturing 	2922 	0.4 	
33 	Repair and installation of machinery and 
equipment 	
1248 	0.2 	
38 	Waste collection, treatment and disposal activities; 
materials recovery	 	
763 	0.1 	
58 	Publishing activities 	10935 	1.6 	
 	Others 	27411 	3.9 	
 	Total 	696533 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
 
 	
Figure 22	: Distribution of GFCF (in 	 lakh) of the factory sector by 2-digit NIC, 2008 	
 	
 	
 	
Number of persons engaged 	
The term "people engaged" refers to all workers the factory employs, whether or not they are paid, 
and who are  involved in  some way in the manufacturing  process. This includes all administrative, 
technical,  and  clerical  staff  members  as  well  as  labourers  who  produce  capital  assets  for  the 
factory's own use. The highest number of employees is recorded by  manufacturing food products, 
about  96821  (28.3%  of  state  value).  The  number  of  people  employed  in  the  state's  various 
manufacturing industry groups is shown in Table 20 and Figure 23 	
0	
50000	
100000
150000
200000
250000
300000
350000	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58
Otâ¦	
87033 	
1993 	
34 	
6678 	
3461 	
4116 	
9199 	
2795 	
25754 	
347832 	
19557 	
31039 	
28862 	
26085 	
7368 	
5194 	
8631 	
4178 	
1442 	
74 	
30021 	
1907 	
2922 	
1248 	
763 	
10935 	
27411

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
 
Table 20: Distribution of Number of persons engaged in factories by major factory group by 2-digit  
NIC 2008 	
 	
NIC 2 
digit  
Code 	
Description 	
No.of 
persons 
engaged 	
percentage 
of persons 
engaged 	
10 	Manufacture of food products 	96821	 	28.3	 	
11 	Manufacture of beverages 	3655	 	1.1	 	
12 	Manufacture of tobacco products 	13377	 	3.9	 	
13 	Manufacture of textiles 	24682	 	7.2	 	
14 	Manufacture of wearing apparel 	9869	 	2.9	 	
15 	Manufacture of leather and related products 	8048	 	2.4	 	
16 	
Manufacture of wood and products of wood and 
cork, except furniture ;manufacture of articles of 
straw and platting materials 	
10443	 	3.0	 	
17 	Manufacture of paper and paper products 	3798	 	1.1	 	
18 	Printing and reproduction of recorded media 	7927	 	2.3	 	
19 	Manufacture of coke and refined petroleum products 	7339	 	2.1	 	
20 	Manufacture of chemicals and chemical products 	12843	 	3.8	 	
21 	Manufacture of pharmaceuticals, medicinal chemical 
and botanical products 	11128	 	3.2	 	
22 	Manufacture of rubber and plastic products 	30368	 	8.9	 	
23 	Manufacture of other non-metallic mineral products 	20181	 	5.9	 	
24 	Manufacture of basic metals 	5115	 	1.5	 	
25 	Manufacture of fabricated metal products, except 
machinery and equipments 	7199	 	2.1	 	
26 	Manufacture of computer, electronic and optical 
products 	10028	 	2.9	 	
27 	Manufacture of electrical equipment 	6096	 	1.8	 	
28 	Manufacture of machinery and equipment n.e.c 	3532	 	1.0	 	
29 	Manufacture of motor vehicles, trailers and 
semitrailers 	624	 	0.2	 	
30 	Manufacture of other transport equipment 	5912	 	1.7	 	
31 	Manufacture of furniture 	2839	 	0.8	 	
32 	Other manufacturing 	4166	 	1.2	 	
33 	Repair and installation of machinery and equipment 	1381	 	0.4	 	
38 	Waste collection, treatment and disposal activities; 
materials recovery	 	58	 	0.02	 	
58 	Publishing activities 	2182	 	0.6	 	
 	Others 	32857	 	9.6	 	
 	Total 	342465	 	100

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
Figure 23: Distribution of number of persons engaged in factory sector by 2-digit NIC, 2008	
 	
 	
 
 
 
 
 
 
 
 	
0	
10000
20000
30000
40000
50000
60000
70000
80000
90000	
100000	
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
38
58	
Others	
96821 	
3655 	
13377 	
24682 	
9869 	
8048 	
10443 	
3798 	
7927 	
7339 	
12843 	
11128 	
30368 	
20181 	
5115 	
7199 	
10028 	
6096 	
3532 	
624 	
5912 	
2839 	
4166 	
1381 	
58 	
2182 	
32857

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
CHAPTER 5 	
ANNUAL TRENDS IN INDUSTRIAL STATISTICS 	
 	
A Comparative Study of Principal Characteristics of Survey Estimates 	
over a period of 8 years	.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
A Comparative Study of Principal Characteristics of Survey Estimates 	
over a period of 8 years	. 	
 	
 	
 
 
 	
or the manufacturing sector to be promoted, it is crucial to analyse and follow the annual 
trend in the industrial data over time. Surveys are essential for determining the causes of 
statistical  fluctuations,  aiding  in  estimation  and  establishing  a  development  strategy  for 
future  advancement.  This  section  aims  to  present  the  annual  trends  in  various  key 	
manufacturing sector features from 2011â12 to 2018â19.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
   	
Table 21: Distribution of significant characteristics of organised manufacturing sector of state from 2011-12 to 2018-19 
Sl. 
No. 	
 	
Characteristics	 	
Financial Year 	
2011-12 	2012-13 	2013-14 	2014-15 	2015-16 	2016-17 	2017-18 	2018-19 	
1 	Number of 
Factories 	7021  7129  7132  7295  7584  7982  7596  7695 	
2 	Fixed Capital 	1559998 	1793601 	2454515 	3312566 	4069375 	4784549 	4369284 	4907497 	
3 	Invested 
Capital 	2955044  3254204  4042414  4804167  5717150  6547340  6194820  7031597 	
4 	Total Output 	10986032	 	12064788	 	13573186	 	14237493	 	12052212	 	13942718 	16556578 	22651833	 	
5 	Total Input  9803836  10774729	 	12014395	 	12680764	 	10237768	 	11643987  14256475  20185943	 	
6 	Gross Value 
Added (GVA) 	1182196 	1290059 	1558791 	1556729 	1814445 	2298731 	2279897 	2465890 	
7 	
Gross Fixed 
Capital 
Formation 
(GFCF) 	
214086  294297  802434  662239  947818  1154951  485582  696533 	
8 	Net Value 
Added (NVA) 	1024346 	1128481 	1370155 	1315095 	1568912 	2047964 	1987576 	2104452 	
9 	Net Income  919956  1009353  1235082  1092333  1377101  1863677  1799319  1861860 	
10 	Profit 	313490 	381847 	573135 	319992 	509639 	1043683 	884010 	824389 	
 
According to the survey results, the estimated number of factories increased from 2011â12 to 2016â17, however it declined by 386 in 2017â
18 and increased by 99 compared to the last  year 2018-19 (see  Figure 24). From 2011â12 to 2016â17, the fixed capital and invested capital 
both  exhibit  a  growing  tendency;  however,  the  year  2017â18  marks  a  decline  in  these  capitals  and  increases  in  2018-19  (refer  Figure  25).

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 24: Year wise distribution of number of factories in organized manufacturing sector 	
 	
 	
 
 	
Figure 25: 	: Year wise distribution of fixed capital and invested capital (in 	 lakh) 	
 	
Furthermore, this data shows a rising tendency in the input and output of the manufacturing sector 
from 2011â12 to 2014â15, a declining trend in 2015â16, and a rising trend for the following three 
financial years.	 	
7021 	
7129 	
7132 	
7295 	
7584 	
7982 	
7596 	
7695 	
2011â12
2012â13
2013â14
2014â15
2015â16
2016â17
2017â18
2018â19	
0	
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000	
1559998 	
1793601 	
2454515 	
3312566 	
4069375 	
4784549 	
4369284 	
4907497 	
2955044 	
3254204 	
4042414 	
4804167 	
5717150 	
6547340 	
6194820 	
7031597 	
Fixed Capital
Invested Capital

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 	
Figure 26: Year wise distribution of input and output (in 	lakh) of manufacturing sector	
 	
 	
 
The net income and profit shows an increasing trend during 2011-2012 to 2013-14 which dropped 
in 2014-15 and again an increasing trend is noticed during 2015-16 to 2016-2017.There is a slight 
decrease  of    net  income    in    2017-18  and  increase  in  2018-19.  Figure  27  shows  the  trend  of  the 
same. 
 	
0	
5000000	
10000000	
15000000	
20000000	
25000000	
2011â12	
2012â13	
2013â14	
2014â15	
2015â16	
2016â17	
2017â18	
2018â19	
10986032 	
12064788 	
13573186 	
14237493 	
12052212 
13942718 	
16556578 	
22651833 	
9803836 	
10774729 	
12014395 	
12680764 	
10237768 	
11643987 	
14256475 	
20185943 	
Total Output
Total Input

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
Figure 27: Year wise distribution of net income and profit (in 	 lakh) of organized 	
manufacturing sector 
 	
 	
 
Gross  Fixed  Capital  Formation  (GFCF)  noticeably  increased  from  2011â12  to  2013â14, 
but  then  sharply  decreased  in  2014â15  and  increased  in  2015-16  and  2016-17  and  again  a 
sharp  decline  is  seen  in  2017-18.  In  2018  -19  an  increasing  trend  is  noticed.  Figure  28 
provides an illustration of the GFCF trend. 	
0	
200000
400000
600000
800000	
1000000
1200000
1400000
1600000
1800000
2000000	
2011â12
2012â13
2013â14
2014â15
2015â16
2016â17
2017â18
2018â19	
919956 	
1009353 	
1235082 	
1092333 	
1377101 	
1863677 	
1799319 	
1861860 	
313490 	
381847 	
573135 	
319992 	
509639 	
1043683 	
884010 	
824389 	
Net Income
Profit

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 28	: Annual trend of GFCF (in 	 lakh)	 	
 	
 
Gross  Value  Added  (GVA)  in  production  is  seen  to  be  somewhat  declining  in  the  years  2014â15 
and  2017â18.  In  2017â18,  the  GVA  decreased  from  22,98,731  lakhs  to  22,79,897  lakhs  and  in 
2018-19  it increases  as 24,65,890 lakhs. The trend in GVA over a period of 8 years is depicted in 
vivid detail in Figure 29. 
 
 	
214086 	
294297 	
802434 	
662239 	
947818 	
1154951 	
485582 	
696533 	
0	
200000
400000
600000
800000	
1000000
1200000
1400000	
2011â12 2012â13 2013â14 2014â15 2015â16 2016â17 2017â18 2018â19

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 29: GVA of organized manufacturing sector of Kerala for 8 consecutive years 
 	
 	
 
Two  consecutive  financial  years,  2017â18  and  2018â19,  were  used  to  analyse  the  growth  rate  of 
several features. According to the data, the number of factories, fixed capital, invested capital, total 
output, total input, GVA, GFCF, NVA, Net Income shows an increasing trend. The growth rate of 
profit  (-6.74  %)  shows  negative  growth  .  In  2018â19,  production's  Gross  Value  Added  (GVA)  is 
8.16%. According to data, the estimates show a growth rate of 1.30 % in number of factories,12.3 
% in fixed capital, 13.51 % in invested capital, 36.81 % in total output, 41.60 % in input, 8.16 % in 
GVA, 43.44 % in GFCF and 3.48 % in net income of the manufacturing sector. 
 
 	
1182196 	
1290059 	
1558791 	
1556729 	
1814445 	
2298731 	
2279897 	
2465890 	
0	
500000	
1000000
1500000
2000000
2500000
3000000	
2011â12 2012â13 2013â14 2014â15 2015â16 2016â17 2017â18 2018â19

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
Table 22: Growth rate of significant characteristics of organised manufacturing sector in two 
successive years 
 	
Sl.No.  Characteristics  2017-18  2018-19 	
percentage 
growth rate 
over 2017-18 	
1 	Number of Factories 	7596 	7695 	1.30 	
2 	Fixed Capital  4369284  4907497  12.32 	
3 	Invested Capital 	6194820 	7031597 	13.51 	
4 	Total Output  16556578  22651833  36.81 	
5 	Total Input 	14256475 	20185943 	41.60 	
6 	Gross Value Added (GVA)  2279897  2465890  8.16 	
7 	Gross Fixed Capital Formation 
(GFCF) 	485582 	696533 	43.44 	
8 	Net Value Added (NVA)  1987576  2104452  5.88 	
9 	Net Income 	1799319 	1861860 	3.48 	
10 	Profit  884010  824389  - 6.74 	
 	
For  the  manufacturing  sector  to  be  more  gender  equal,  the  employment  structure 	
must  be updated,  new  wage  regulations  must  be developed, and the  size of  the workforce, 
wage  trends,  and  gender-based  participation  of  the  workforce  must  all  be  examined.  The 
number  of  persons  engaged  in  the  factories  reflects  the  employment  status  in  the 
manufacturing  sector.  The  fluctuations  in  the  number  of  workers,  employees  other  than 
worker and unpaid family member/proprietor for 8 consecutive years have been depicted in 
the 	Table 23.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
The  estimated  figures  shows  that  number  of  workers  in  the  factories  for  the  year 	
2018-19 has recorded the highest,  compared to the previous 2  years. Although there was a 
little increase  in employees  other than  workers  and unpaid  family  members from  2017â18 
to 2018â19. 	 	
Table 23: Distribution of workers engaged in factories in the state 
Persons Engaged 	2011â12 	2012â13 	2013â14 	2014â15 	2015â16 	2016â17 	2017â18 	2018â19 	
Workers	 	310398	 	302971	 	287071	 	294750	 	317472	 	259160	 	256090	 	271485	 	
Employees other 
than workers	 	
51440	 	54175	 	58514	 	82641	 	61857	 	65021	 	67045	 	68838	 	
Unpaid Family 
Members/ 
Proprietor etc.	 	
1407	 	786	 	1774	 	1943	 	1573	 	2463	 	1638	 	2143	 	
Total 	363245	 	357932	 	347359	 	379334	 	380901	 	326644	 	324773	 	342465	 	
 	
The  workers  engaged  in  the  factories  are  categorized  as  directly  employed  and 	
employed  through  contractors.  Among  the  directly  employed  workers  male  and  female 
categorization was done. Analytic view of the estimated figures of directly employed male 
and  female  workers  in  8  consecutive  fiscal  years  shows  a  decreasing  trend  of  66.2%  in 
2011-12  to  43.0%  in  2018-19  in  the  female  participation  in  the  manufacturing  sector 
whereas the  male participation  has increased from 33.8% to 57.0%. 
Table 24: Gender based distribution of directly employed workers 	
Directly 
employed 
workers 	
percentage of workers in 8 consecutive years 	
2011-12 	2012-13 	2013-14 	2014-15 	2015-16 	2016-17 	2017-18 	2018-19 	
Men 	33.8  37.7  39.5  40.9  50  52.1  54  57 	
Women 	66.2 	62.3 	60.5 	59.1 	50 	47.9 	46 	43

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 
 
 
 
 
Table 25: Emoluments paid to the employees in organised manufacturing sector.  	
Financial year 	Wages and salaries including employees contribution 	
(value in 	 lakhs) 	
2011-12 	562506 	
2012-13  627506 
2013-14 	661948 	
2014-15  781658 
2015-16 	867462 	
2016-17  819994 
2017-18 	915447 	
2018-19  1037471

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
 
 
 
 
 	
CHAPTER 6 	
 	
RURAL AND URBAN STATISTICS OF 	
MANUFACTURING SECTOR 	
 	
An Overview of Principal Characteristics of 	
Manufacturing Sector in the Rural & Urban areas

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
 
 
 
 
 	
An Overview of Principal Characteristics of 	
Manufacturing Sector in the Rural & Urban areas 	
 	
 	
 
Location  of  industries  is  one  of  the  key  elements  that  can  have  both  positive  and  negative  effects 
on the industrial sector. The necessity for an industrial policy that supports the growth of the sector 
in  underdeveloped  areas  may  be  revealed  by  field  studies  of  various  industries  in  rural  and  urban 
areas.  In both urban and  rural areas, efforts have been made to highlight the key characteristics  of 
the  manufacturing  sector.  According  to  the  Annual  Survey  of  Industries,  urban  areas  are 
about 46%  of  industries,  while  rural  areas  are   54%.  Estimates  by  district  reveal  that  Ernakulam 
has  the  highest  concentration  of  industries,  with  58%    located  in  rural  and  42%  in  urban  areas. 
Table 26 shows the district wise estimates of factories.

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Table 26: District wise Distribution of factories in rural and urban areas 	
Districts	 	
 	
Number of factories 	
Rural 	Urban 	
Kasargod  205  151 
Kannur 	151 	567 	
Wayanad  39  30 
Kozhikode 	93 	386 	
Malappuram  106  156 
Palakkad 	353 	170 	
Thrissur  391  487 
Ernakulam 	867 	634 	
Idukki  135  18 
Kottayam 	240 	189 	
Alappuzha  328  326 
Pathanamthitta 	177 	40 	
Kollam  935  184 
Thiruvananthapuram 	139 	197 	
 	
 	
Figure 30:District wise distribution of number of factories in Rural and Urban areas. 	
 	
 	
 
 
 
 	
0	
100
200
300
400
500
600
700
800
900	
1000	
Kasaragod
Kannur
Wayanad
Kozhikode
Malappuram
Palakkad
Thrissur
Ernakulam
Idukki
Kottayam
Alappuzha
Pathanamthitta
Kollam
Thiruvananthapuram	
205 	
151 	
39 	
93 	
106 	
353 	
391 	
867 	
135 	
240 	
328 	
177 	
935 	
139 	
151 	
567 	
30 	
386 	
156 	
170 	
487 	
634 	
18 	
189 	
326 	
40 	
184 	
197 	
Rural
Urban

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
In addition,  fixed capital for the factory sector in rural and urban  areas are 	 9,76,046 lakhs and 	
39,31,452  lakhs,  while  invested  capital  comes  out  to  be 	17,95,874  lakhs  and 	  52,35,723  lakhs 	
respectively.  The  factory  sector's  input  in  urban  and  rural  areas  are 	1,61,40,941  lakhs  and 	 	
40,45,002  lakhs,  while  its  output  is  estimated  to  be 	  1,77,82,014  lakhs  and 	  48,69,818  lakhs 	
respectively. 
Figure  31:  Distribution  of  fixed  and  invested  capital  of  manufacturing  sector  in  rural  and 
urban areas 
 	
 	
 
 
Gross Fixed Capital Formation (GFCF) is estimated to be 	1,29,905 lakhs in rural factories and 	
5,66,628  lakhs  in  urban  factories  respectively.  According  to  survey  findings,  the  manufacturing 	
sectorâs Gross Value Added is contributed  by 67 % of industries in urban and 33 % of industries in 
rural areas. 
 
 	
Fixed Capital	
Invested Capital	
0	
1000000	
2000000	
3000000	
4000000	
5000000	
6000000	
Rural	
Urban	
976046 	
3931452 	
1795874 	
5235723 	
Fixed Capital
Invested Capital

Report on Annual Survey of Industries 2018-19 Volume I	 
 	
Department of Economics & Statistics 	
 	
Figure 32: Distribution of GVA of manufacturing sector in rural and urban Areas	  	
 	
 	
According to estimates, there are 169537 (49. 5 %  of the state value) and 172928 (50.5 % of the 
state value) people in industries in rural and urban areas, respectively. The same is seen in Figure 
33. 
Figure 33: Number of persons engaged in factories in rural and urban areas	 	
 	
 	
   
 	
33% 	
67% 	
Rural
Urban	
166000	
168000	
170000	
172000	
174000	
Rural	
Urban	
169537 	
172928

The pooling of central and state level ASI data for publishing district -level estimates is an important 
activity that needs to be performed by each State/UT. Following guidelines provide a mechanism 
for pooling state and central data a t the district level in ASI 2018-19.  
As per the ASI samp ling design, adopted in ASI 2018- 19: 	
(a) 	The entire census units (i.e. which are completely enumera ted, say, c) of a State/UT plus all 
the units from sub- sample 1 (say, n	
1) and sub- sample 3 (say, n	3) in each sample stratum of the 
State/UT, for which data is collected by NSO (FOD) and processed by IS WING, DQAD, are 
treated as the Central Sample for that  State/UT. 
 	
(b)  	The entire census units of a State/UT plus  all the un its from sub -sample 2 (say, n	2)  and sub-
sample 4 (say, n	
4) in each sample stratum of the State/UT, for which data is collected and 
processed by State/UT, are treated as the State  Sample . 
 	
(c)  	The entire census units of a State/UT plus  all the units under the 4 sub- samples belonging to 
the State/UT are treated as the Pooled Sample for that  State/UT.  
 	
For Census units	:  	
Step 1 : The multiplier for all the census units (say, c) are 1.  
 
For Sample units (i.e. which are surveyed through different sub -samples)	:  	
Step 2 : For the purpose of calculation of multipliers of the remaining sample units (n	1+n	2+n	3+n	4) 
belonging to 4 sub- samples, strata may be formed on the basis of District x Sector x 3 -digit Fram e 
NIC.  
 
Step 3 : Check the sub- sample codes (1/2/3/4), provided by I S WING, DQAD, for each of the 
(n	
1+n	2+n	3+n	4) sample units (i.e. each unit will have one of the sub -sample codes 1, 2, 3 or 4).  
 
Step 4 : Get the frame size  (for the sample sector), say N, for  each of these sampl e strata, from the 
column â Tot_F rameâ in the excel file named  â<statename>1819.xls xâ, provided by IS WING, 
DQAD in the CD.  
 
Step 5 : Calculate sub -sample wise multiplier in each sample stratum of i	
th  district (say,  í µí±í µí±	í µí±í µí±í µí±í µí±í µí±í µí±	) 
í µí±í µí±	
í µí±í µí±í µí±í µí±í µí±í µí±	 = ï¿½ í µí±í µí± í µí±í µí±	í µí±í µí±í µí±í µí±í µí±í µí± â	â
ï¿½	  , where 	í µí±í µí±í µí±í µí±í µí±í µí±í µí±í µí± â	 , the no. of sample units in the k	th 
sub- sample  of j	th  
stratum of i	th  district, 
to be obtained for each sub -sample by counting the number of sample units with status code (given in Block 
A item 12) 1, 2,  3, 4. In this context, the trea tment of different status code  is as follows :	
 
   
  Working steps for Pooling of ASI data for ASI 2018-19

If A12  = 1, 2, 3 then the unit is treated as âSurveyed caseâ   
If A12  = 4 then the unit is treated as âZero caseâ  
If A12  = 5, 7, 8 then the unit  is treated as âNon-responseâ  
   
Note that  
  a) A closed unit may be given status code as â2â (closed) if the closed factory has at least  A, B, C 
and E block.  
b)  An NOP unit may be given status code as â3â (NOP) if t he NOP factory has at least A, B and C 
block. 
c)  Non -response units (i.e. units with status code 5,  7,  8 in current year) may be searched in last 
year for imputation. If available as open unit (i.e. with status code 1) in last year, then all the 
blocks may be borrowed from last year and in that case the unit may be treated as surveyed unit. 
 
Only surveyed and zero cases are taken for calculating multiplier. That is  í µí±í µí±	
í µí±í µí±í µí±í µí±í µí±í µí±â	 for each sub
- sample, 
will count only the surveyed and zero cases of that sub- sample. 
 
Step 6 : The unit wise data for estimating the  parameters for c census units and (n	
1+n	3) sample units 
pertaining to central sample will be provided by IS WING, DQAD. The individual State/ UT need to 
determine the unit wise parameters for (n	
2+n	4) sample units using the data collected by them (on the 
basis of state sample). In all cases the parameters are to be calculated as per the tabulation programme  
given.   
   
Step 7 :  Let  	
yilc 
= observed value of parameter y from l	th census unit in i	th district.  (To be calculated 
from the data supplied by IS WING,  DQAD.  
í µí±¦í µí±¦	
í µí±í µí±í µí±í µí±í µí±í µí±í µí±í µí± í µí± í µí± 	 is 
the observed value of parameter y  from  l	th sample unit belonging  to  k	th sub- sample of  j	th 
stratum of i	
th  district.  Here,  í µí±¦í µí±¦	í µí±í µí±í µí±í µí±í µí±í µí±í µí±í µí±í µí± í µí± 	 values for k 
= 1 and 3 (i.e., sub- sample 1 and 3) are  to  be	 calculated 
from t he data supplied by IS WING, DQAD and for k  =  2 and 4 (i.e., sub- sample 2 and  4) are to be 
calculated from the data collected by the State/UT following instruction manual.  
 
Step 8 : Pooled stratum level estimator  
Pooled estimator for  j	
th stratum of the i	th district  from k	th sub- sample  (say,  í µí±¡í µí±¡	í µí±í µí±í µí±í µí±í µí±í µí±	) =   â
 í µí±¦í µí±¦	í µí±í µí±
í µí±í µí±í µí±í µí±í µí±í µí±í µí±í µí±í µí± í µí± 	Ã
 í µí±í µí±	í µí±í µí±í µí±í µí±í µí±í µí±	  , 
k=1,  2, 3, 4 	
where	 í µí±í µí±	í µí±í µí±í µí±í µí±í µí±í µí±	  is the multiplier of k	th sub- sample in j	th stratum of i	th district (obtained as per 
step  5).  
Next,  pooled  estimator of parameter y for j	
th stratum of i	th district  (say ,
 í µí±í µí±	í µí±í µí±í µí±í µí±)  =  	1
í µí±í µí±â	í µí±¡í µí±¡í µí±í µí±í µí±í µí±í µí±í µí±	í µí±í µí±
í µí±í µí± =
1	, where n 
(â¤  4)  is  num ber of non-void subsamples in j	
th stratum. While calculating the  pooled estimates, please 
keep in mind the value of ânâ. The value of ânâ will be decided on the basis of non- void sub-samples.

Pooled estimator of variance of the parameter y for j	th stratum of i	th district  (say,  í µí±í µí±	í µí±í µí±í µí±í µí±)  =  	
1
í µí±í µí± (í µí±í µí± â 1)	â
(	 í µí±¡í µí±¡í µí±í µí±í µí±í µí±í µí±í µí±	â í µí±¡í µí±¡Ìí µí±í µí±í µí±í µí±)2
í µí±í µí±
í µí±í µí±
= 1 where, 	í µí±¡í µí±¡Ìí µí±í µí±í µí±í µí± = 	1
í µí±í µí±  â	í µí±¡í µí±¡í µí±í µí±í µí±í µí±í µí±í µí±	í µí±í µí±
í µí±í µí±
= 1	 (Note that, í µí±í µí±	í µí±í µí±í µí±í µí±= í µí±¡í µí±¡Ìí µí±í µí±í µí±í µí±) 	
 
Step 9 : Pooled District level estimator  
Pooled estimator of parameter y for i	
th  district  (say, í µí±í µí±	í µí±í µí±)  = â
í µí±í µí±	í µí±í µí±í µí±í µí±
í µí±í µí±	+  â
í µí±¦í µí±¦	í µí±í µí±í µí±í µí±í µí±í µí±
í µí±í µí±. The 1	st  part i.e ., 
  â
í µí±í µí±	
í µí±í µí±í µí±í µí± 
í µí±í µí±w ill come from stratum- level figure for i	th district and the 2	nd part, i.e.,  â
í µí±¦í µí±¦	í µí±í µí±í µí±í µí±í µí±í µí±
í µí±í µí± will come  from 
census units for i	th district.  
 
Estimator of Variance of the pooled estimator of parameter y for i	
th district  (say, í µí°·í µí°·	í µí±í µí±) =  â
í µí±í µí±	í µí±í µí±í µí±í µí±
í µí±í µí± 
 
Estimator of the Relative Standard Error (RSE) of the pooled estimator of parameter y for i	
th  district  
=  [ï¿½
ï¿½í µí°·í µí°·	
í µí±í µí±ï¿½
í µí±í µí±	í µí±í µí±	ï¿½ ]Ã 100. 	
    
Step 10 : Pooled State level estimator  
Finally,  pooled estimator of parameter y for the state  (say,  T)  =  â
í µí±í µí±	
í µí±í µí±
í µí±í µí± and the pooled estimator 	of 
variance of parameter y for the state (say, D) will be  â
í µí°·í µí°·	
í µí±í µí±
í µí±í µí±. 	
 
Estimator of the Relative Standard Error (RSE) of the pooled estimato r of parameter y for the state 
= [ï¿½
âí µí°·í µí°·	
ï¿½
í µí±í µí±
â
]Ã 100 . 	
 
Note: In the above, any parameter y stands for total of that parameter.

sample for the s-th stratum in the i-th state. 
 Estimation  formula  for any char acteristics  of the enterprise for  the sampl e  sector  of t he 
i-th state is: 	
13	
13 13
1111 1 1,3
1,3	ËË ËË
[]	is isee
C is
i is kis k is is ism
skks s m
ism
m	E
Yy yYYY
e	
ï½ï½ï½ï½ ï½ ï½
ï½
ï©ï¹
ïªïº ï©ï¹
ï¢ ï½ï« ï½ï«ï½
ïªïº ï«ï»
ïªïº
ï«ï»	
ï¥ï¥ï¥ï¥ ï¥ï¥ ï¥	â¦â¦.. (1) 
    where superscript âCâ in 	
ËC iYï¢	stands for central sample. 
 
The formula for corresponding sub-sample wise estimates  for the sample sector of the i-
th state is:  
 
 
  1 Notations: 
  
i = subsc ript for i-th state. 
s = subscript f o
r s-th stratum in the i-th state. 
m = subscript for sub-sample (m =1, 2, 3, 4) [m=1 and 3 for central and 2 and 4 for state]. 
k = subscript for k-th sample enterp rise under a particular stratum.  
E = total number of factory  in the sample sector in a stratum.  
e  = num ber  of factories surveyed out of total num ber  of fa ctory  in  the  sample s ector  in a 
stratum.  
x, y = observed value of characteristics  x, y  under estimation. 
 = estimate of population total X, Y for the characteristics  x,  y.  
 
Under the above symbols,  
 
Y	
ismk	 = observed value of the characteristic y for th e k-th enterprise belonging to the m-th sub-	
XË, YË	
 
(a) Formulae for estimation of aggregates
 for a state based on central sample:  
 
 
  	
Annual Survey of Industries  1 97

11	
Ë	isme
C is
im ism k
sk ism	E
Yy
e	
ï½ï½
ï© ï¹
ï¢ ï½
ïª ïº
ï« ï»	ï¥ï¥	,  m= 1,3.   .........................      (1.1) 
 
 
If 	
iY ï¢ï¢
Ë	  be the corresponding estim ate  for that 
characteristic  of  the enterprise for  the 
census  sector  of the i-th state, th en  the estim ate  fo r  that ch aracteristic  of the enterprise 
for  the i-th state  as a whole based on the central sample is given by:  
 
                   	
ËCYi	= 	ËC iYï¢	 + 	iY
ï¢ï¢
Ë	         ...........................  (2) 
 
The estimate of the characteristic of  the enterprise for all-India will be: 
         	
ËËCC i
iYY ï½	ï¥	         .......................................             (3) 
(b)  Formulae for estimation of aggregates  for a state based on state sample:  
 
Estimation formula for any characteristics of the enterp rise  for the sample sector of the i-
th state  based on state sample is: 	
24	
24 24
1111 12,4
2,4	ËË ËË
[]	is isee
S is
i is kis k is is ism
skks s m
ism
m	E
YyyYYY
e	
ï½ï½ï½ï½ ï½ ï½
ï½
ï©ï¹
ïªïº ï©ï¹
ï¢ ï½ï«ï½ï«ï½
ïªïº ï«ï»
ïªïº
ï«ï»	
ï¥ï¥ï¥ï¥ ï¥ï¥ ï¥	  ......      (4) 
where superscript âSâ in 	
ËS iYï¢	stands for state sample. 
The formula for sub-sample wise estimates  for the sample se ctor of the i-th sta te based 
on state sample  is:  
               	
11	
Ë	isme
S is
im ism k
sk ism	E
Yy
e	
ï½ï½
ï©ï¹
ï¢ ï½
ïªïº
ï«ï»	ï¥ï¥	,  m= 2,4.   .........................      (4.1) 
  
Using 	
iY ï¢ï¢
Ë	  as the correspon ding  estimate  for that
  characteristic  of the enterprise for  the 
census  sector  of the i-th state, th en  the estim ate  fo r  that ch aracteristic  of the enterprise 
for  the i-th state  as a whole based on the state sample is given by:  
 
                   	
ËSYi	= 	ËS iYï¢	 + 	iY
ï¢ï¢
Ë	         ...........................  (5) 
 
(c)  Formulae for estimation of aggregates  for a state based on pooled sample: 
  Estimation formula for any characteristics of the enterp rise  for the sample sector of the i-
th state  based on pooled sample (i.e., central and state combined)  is: 
  
4
4
111
1	Ë []	isme
P is
i ism k
smk ism
m	E
Yy
e	
ï½ï½ ï½
ï½
ï©ï¹
ïªïº
ï¢ ïªïº
ï½
ïªïº
ïªïº
ï«ï»	
ï¥ï¥ï¥ï¥	  .........................      (6) 	
                         98

Using 	iYï¢ï¢
Ë	  as the correspon ding  estimate  for that
  characteristic  of the enterprise for  the
census  sector   of the i-th state, th en  the estim ate  fo r  that ch aracteristic  of the enterprise 
for  the i-th state  as a whole based on the pooled sample is given by:  
    
  	
ËPYi	= 	ËP iYï¢	 + 	iY
ï¢ï¢
Ë	         ...........................  (7) 
 
The  above equations are given fo r  generating the estim ates  for the  State. However, sim ilar 
treatment may be given or sam e equations may be  used in g enerating the estimates at district 
level. 
 
Ë  and 	
XË  be the ov erall  estimate  of the aggregates Y and X for two 
characteristics  y and  x, respectively at the Stat e/ UT/ all-India level. 
Then the combined ratio estimate  ) Ë
( R of the ratio 	
)(
X
Y
R ï½ will be obtained as  
                                   	
X
Y
�5 Ë
Ë
Ë ï½	
.   	
Ë:  The variance is to be obtained for the sample 
sector units only. The estimated variances of the  estimates at state level will be as follows: 
         	
ï¥ï½	
s isi	
YraVYraV
)
Ë
(
Ë
)
Ë
(
Ë	      ..................................     (8) 
             The sampling variance based on central Samples is: 
 
                   	
)
Ë
(
ËiYraV	= 	2
13	ËË
{( ) / 2}is is
sYY ï	ï¥	        â¦â¦â¦â¦â¦â¦â¦  (9.1) 
             The sampling variance based on state Samples is: 
 
                   	
)
Ë
(
ËiYraV	= 	2
24	ËË
{( ) / 2}is is
sYY ï	ï¥	        â¦â¦â¦â¦â¦â¦â¦  (9.2) 
For generating estimates of vari ance for the pooled sample is: 
 
    	
4 2
1	1
ËËË
Ë () ( )
12	iismis
sm	Var Y Y Y	ï½	ï½ï	ï¥ï¥	, where 	4
1	1
ËË
4	is ism
mYY	ï½	ï½	ï¥	....(9.3) 
 
For all-India, the estimated variances of the es timates of different types will be as follows: 
 
                      	
ï¥ï½	
i i	
YraVYraV
)
Ë
(
Ë
)
Ë
(
Ë	         â¦â¦â¦â¦â¦â¦â¦..            (10) 
 AII.4.2 
Estimates of Ratios : 
  Let  Y
 
AII.4.3  Estimates of Error for Aggregate	
Y	
 	
Annual Survey of Industries    99

Ë: 
 
For 	
RË	 at
 all-India based on centr al sample (i.e. sub-sample 1 and 3) is, 
 	
ïï	)
Ë
(
ËË
)
Ë
,
Ë
(
Ë
Ë
2)
Ë
(
Ë
)
Ë
( 1
)
Ë
(
Ë	2
2	XVRYXvCoRYV
X
RESM
ï«
ï
ï½	  â¦â¦â¦..  (11) 	
22 2
2 1,3 1,3 1,3	1
ËË ËËËË ËË Ë Ë
()2()( ) ( )
Ë	CC C C
sm s sm s sm s sm s
sm m m	YY RYYX XR X X
X	ï½ï½ ï½	
ï©ï¹
ï½ïïïïï«ï ïªïº
ï«ï»	ï¥ï¥ ï¥ ï¥	â¦(11.1) 
where 	
1,3	
1
ËË
2	C
s sm
mYY	
ï½	
ï½	ï¥	and 	
1,3	
1
ËË
2	C
s sm
mX X	
ï½	
ï½	ï¥	 
 
For 	
R Ë	 at
 state level from central sample (i.e., fo r i-th state based on central sample), 
 	
2
2	1
Ë ËËËËËËËËË
Ë
() ()2 ( ,) ( )
Ë
()	ii iii i i
i	M SE R V Y R Cov X Y R V X
X ï©ï¹
ï½ï ï«
ï«ï»	  â¦â¦  (12) 	
22 2
2 1,3 1,3 1,3	1
ËË Ë ËËË ËË Ë Ë
()2()( )( )
Ë	CC C C
ism is i ism is ism is i ism is
sm m m
i	YY RYYX XR X X
X	ï½ï½ ï½
ï©ï¹
ï½ïïïïï«ï ïªïº
ï«ï»	ï¥ï¥ ï¥ ï¥	â¦(12.1)  
where 	
1,3	
1
ËË
2	C
is ism
mYY	
ï½	
ï½	ï¥	and 	
1,3	
1
ËË
2	C
is ism
mX X	
ï½	
ï½	ï¥	 
   
For 	
RË	 at
 state level from state sample, 
 	
22 2
2 2,4 2,4 2,4	1
Ë ËËËËËË ËËËËË
() ( ) 2 ( )( ) ( )
Ë	SS S S
i ism is ism is ism is ism is
sm m m
i	MSE R Y Y R Y Y X X R X X
X	ï½ï½ ï½
ï©ï¹
ï½ïïïïï«ï ïªïº
ï«ï»	ï¥ï¥ ï¥ ï¥	â¦(12.2)  
where 	
2,4	
1
ËË
2	S
is ism
mYY	
ï½	
ï½	ï¥	and 	
2,4	
1
ËË
2	S
is ism
mX X	
ï½	
ï½	ï¥	 
 
For 	
R Ë	 at
 all-India based on pooled sample (i .e. sub-samples 1, 2, 3 and 4) is, 
 	
44 4
22 2
2 11 1	1
Ë ËË ËËËËË ËË ËË
() ( ) 2 ( )( ) ( )
Ë
12	sm s sm s sm s sm s
sm m m	MSE RY Y R Y Y X X R X X
X	ï½ï½ ï½	
ï©ï¹
ï½ï ïïï ï«ï
ïªïº
ï«ï»	ï¥ï¥ ï¥ ï¥	,....(13) 
where 	
ËË ,sm smYX ï½	estimate of aggregate of characteris tic Y,  X of m-th sub-sample in the s-th 
stratum  and 	
4
1	1
ËË
4	s sm
mYY	
ï½	
ï½	ï¥	. 
 
AII.4.4 For ratio 	
R	
                        
Annual Survey of Industries  100

ï¨ï©ï¨ï©	���
�Ö �Ö
�Ö
�Ö
�Ö
ï´ï½
Y YraV
YESR	      â¦â¦â¦â¦â¦â¦â¦â¦â¦â¦  (9) 
       	
ï¨ï© ï¨ï©	���
�Ö �Ö
�Ö
�Ö
�Ö
ï´ï½
R RESM
RESR	   â¦â¦â¦â¦â¦â¦â¦â¦â¦.     (13) 
formula for sub-sample wise multiplier
 	formula for combined sample multiplier	 	
ism ise
E	,   m = 1, 2, 3 or 4.	 	
is ise
E	, 	
4
1
is ism
m	
ee	
ï½	
ï½ï¥	 	
stratum.  This may occur in one sub-sample or  more subsamples. If it relates to only one sub-
AII.4.5 
Estimates of RSE :  
 
 
AII.4.6  Multipliers for enterprises : 
  
        The formulae for multipliers for a stratum are given below: 
  
 
AII.4.7.2    Imputation  of  data  from past  survey  for casua lty  units:  In  case  any un its  in the 
census  sector becom es  casualty, infor mation  in respect o f  all the ch aracteristics  may  be 
borrowed  from  the previous year, if   available,   for the census sector units belonging to that 
post-survey stratum of State By District By 4- Digit of NIC. Sometimes, this is a lso followed 
in  case of sam ple  units which are casualty but   information  on various characteristics for 
previous year of those units is available. 
 
AII.4.7.3  While counting the number of units surveyed ( e	
ism	)  in the m -th  sub-sample of   a 
stratum,  all the units with su rvey  codes 1 to 9 in Item  12,  Block A excluding the casualty 
cases will be considered.   
 
   
 
AII.4.7 
Treatment for surveyed cases and casualty cases : 
 
AII.4.7.1  Casualty cases : The casualty case may occur in cases where the unit is existing but 
non-response  due to closure and ow ner/occupier  is  not traceable (code  5), non-response due 
to  production  not yet started or acco un ting  year not closed d uring  the y ear (code  7) or non-
response  due to other reasons [ incl.  relevant  records are with court/Incom e  tax or 
recalcitrant/refuse  to subm it  the return depa rtment,  etc, or factory under prosecution in 
respect of earlier ASI] (code 8). Thus, the units  with survey codes 5, 7 and 8 as per Item  12, 
Block A are treated as casualties.  Moreover, if  for the units that are found âclosedâ or âNOPâ, 
the  relevant  information  are  not ava ilable,  thos e  will be tr eated  as  casualty  in coun ting  the 
number of surveyed units ( e	
ism	).   
AII.4.8   Treatment in cases of void strata 
 
AII.4.8.1    A stratum   may  be void because of th e  casualty  of all the units belong ing  to the  
  	
Annual Survey of Industries 
  101

sample,  then  estimate  for  the  void  stratum  may  be r eplaced  with the   estimate  as  obtained 
from  the other sub- sample  for  the  same  stratum  separately for central and s tate.  All th e 
various cases are discussed below: 
 
 
Case (I): Sample sector is voi d, but Census sector is not void :  
The  estimated  figures in respect of all the ch aracteristics  obtained  for  the census s ector 
may be assumed to hold good for each of the un its in the sample sector and accord ingly, 
the  estimate  for the sam ple  sector may be obtai ned.   For example, if there are n units in 
the  sample  sector in a p articular  stratum,  th en  the estim ated  figure per census units (i.e., 
average  figures)  for  a ch aracteristic  will be   multiplied  by n   to obtain th e  estimate  for  the  
sample sector in that stratum. 
 
Case (II): Both the Sample sector and Census sector are void :  
The stratum may be merged with the nearest  stratum looking into the description of the 4-
digit NIC activity, or else it could be m erged  with the 4-digit NIC activity âothers â within 
that 4-digit NIC group. 
 
 
   
 
 
 
 
AII.4.8.2      When  a  stratum  is  void  in  the  sub-
samples  1  and  3,  the  following  procedure  is 
recommended: 
AII.4.8.3    The treatm ent will be  similar if the stratum is void  in the sub-samples 2 and 4 to 
generate  estimate  from the state sample. If only  one  sub-sample (out of sub-sam ple  2 and 4) 
is void, then estimate for the void stratum may be  replaced with the estimate as obtained from 
the  other sub-sam ple  for the sam e  stratum  as  is  mentioned  in earlier paragraph. It m ay  be 
possible that in a particular stratum, sub-samp les 1 and 3 are void but sub-samples 2 and 4 are 
not void or conversely sub-sam ples 1 and 3 are  not void but sub-samples 2 and 4 are void. In 
the  former  case  merging  of stratum m ay  be required in generating central sam ple  estimates 
while that is not required in generating estim ates  from state sample. In the later case m erging 
of  stratum  is required in generating state sam ple  estimate  while m erging  is not re quired  in 
generating  estimates  from  central sam ple.  In   such cases for generating pooled estim ate, 
merging  is also not required.  The  stratum  merging  in gen era ting  pooled estim ate  is required 
only when all the four sub-sam p les in a s tratum are void. The same merging principle, which 
is mentioned in earlier paragraph, is to be followed in such cases.  
                     102

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
                                                                                                                                     
                                                                                                                                                                                                                    CONFIDENTIAL  
Government of India  
Ministry of Stati stics and Programme Implementation  
Return under Collection of Statistics   Act, 2008   as amended in 2017   and rules framed there under in 2011  
Annual Survey of Industries 20 1 8 - 20 1 9   (Part  â I)   
  (Please read the instructions before filling the return )  
 
 
Block B:  P articulars of the factory ( to be filled by owner  of the factory )  
1. Name and address of the Industrial undertaking:  
 
 
 
 
  1.1 Vill./Town:  
 
1.2 District name:  
 
1.3 State name:  
1.4 PIN Code               
2.  T ype of organisation ( code )    
3.  Corporate   Identification Number (CIN)  
4. Whether the unit has ISO   Certification, 14000 Series  
                                                                                             ( yes - 1, no - 2)    
5 .    Y ear of initial production           
6 .  A ccounting year ( ...........    to  ............ )           to  
       
7 .  N umber of months   of operation    
8 .  Whether the share capital of the company includes share of foreign 
entities                                                                              ( yes - 1, no - 2)    
9 .  Any R&D unit in your factory?     
  (yes & registered with  DST/DBT - 1,    yes & registered with others - 2, 
no - 3)     
1 0 . D etails of contact 
person   i)  N ame & designation :      
ii) Tele (with STD   code)  
iii) FAX no .    
iv) E - mail    
 
 
 
 
DECLARATION  
I hereby declare that information furnished in this return is correct and   complete to the best of my knowledge and belief.  
Date :  
Place :                                                                                                                                                                                           ( Name and  Signature of owner with stamp)  
 Block A:  I dentification particulars ( )    
1.  S chedule  D espatch (DSL)  N o.              
2. PSL  N o.            
3.  S cheme code ( nsus - 1,  S ample - 2 )    
4.   I ndustry code as per frame  
       ( 4 - digit level of NIC - 200 8 )          
5.  I ndustry code as per return  
       ( 5 - digit  level of NIC - 200 8 )            
6.  D escription of  I ndustry :    
7.  S tate  C ode      
8.  D istrict  C ode       
9.   S ector ( - 1, U rban - 2 )     
10.   RO /SRO code          
11.    N o. of  U nits    
12.   S tatus of  U nit ( ode )

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
  
 
 
Block C:  FIXED ASSETS                                                                                                                                                                  
Sl. 
No.   Type   of  
A ssets   G ross value (Rs.) D epreciation (Rs.) N et value (Rs.)  
O pening 
as on  
-   -   -   -   A ddition during the year   D eduction 
& 
adjustment 
during the 
year   C losing 
as on  
-   -   -   -  
 
(cols. 
3+4+5 - 6)   U p to year 
beginning   P rovi -
ded 
during 
the 
year   A djustment 
for  sold/  
discarded 
during the 
year   U p to 
year end  
 
 
(cols. 
8+9  - 10)   O pening 
as on  
 
-   -   -   -   -  
(col s . 3 -  
8)   C losing 
as on  
 
-   -   -   -   -   -  
(col s . 7 -  
11)  D ue to 
revaluation   A ctual 
addition s  
(1)   (2)   (3)   (4)   (5)   (6)   (7)   (8)   (9)   (10)   (11)   (12)   (13)  
1.   L and                        
2.   B uilding                        
3.   P lant &  
M achinery                        
4.   T ransport 
equipment                         
5.   C omputer 
equipment 
including 
software                        
6.   P ollution 
control 
equipment / 
Environment 
improvement 
equipment                        
7.   O thers                        
8.  
S ub - total   
(items 2 to 
7)                        
9.   C apital work 
in progress                        
10.  
T otal   
(items 
1+8+9)                        
                                         DSL   No                  PSL No

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
  
 
Block D:  WORKING CAPITAL AND LOANS       
Sl. No.  
I tems   O pening (Rs.) C losing (Rs.)  
(1)   (2)   (3)   (4)  
1.   R aw  Materials & C omponents and  P acking materials      
2.   F uels &  L ubricants      
3.   S pares,  S tores & others      
4.  
S ub - total (items 1 to 3)    
5.   S emi - finished goods/work in progress      
6.   F inished goods      
7.  
T otal inventory ( items 4 to 6)      
8.   C ash in  H and   &   at  B ank  
   
9.   S undry  D ebtors  
   
10.   O ther current assets  
   
11.  
T otal current assets   (items 7 to 10)      
12.   Sundry C reditors      
13.   O ver draft,   cash credit,   other short term loan from banks &  
other financial institutions      
14.   O ther current liabilities  
   
15.  
T otal current liabilities (items 12 to 14)      
16.  
Working C apital (item 11 - item 15)*      
17.   O utstanding loans (excluding interest but including deposits)**      
Note:  
          * Give reasons in the footnote for negative values and abnormal verification in opening and closing values.  
          ** If outstanding loans include interest, a footnote may be given  
 
 
       
DSL   No               PSL No

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
                                                 
 
Block E:  EMPLOYMENT AND LABOUR COST    
Sl. 
No.  
C ategory of staff   M an - days worked   A verage  
number of 
persons worked   N o. of 
mandays 
paid for   W ages/ 
salaries   
(in Rs.)  M anu -
facturing   N on  
M anufacturing   T otal  
1   2   3   4   5   6   7   8  
Part A: D etails for each category of staff    
1.   M ale workers employed directly                  
2 .   F emale workers employed directly              
3 .  
S ub - total     (items 1  + 2 )              
4 .   W orkers employed through 
contractors              
5 .  
T otal workers (items  3   +  4 )              
6 .   S upervisory & managerial staff              
7 .   O ther employees              
8 .   U npaid family members/ 
proprietor/ coop. members              
9 .   T otal employees  
(items  5 + 6 + 7 + 8 )              
Part B: S ome details for all categories of staff combined    
10 .   B onus (in  Rs.)    
11 .   C ontribution to provident & other funds (in Rs.)       
12 .   Workme n & staff welfare expenses (in Rs.)    
13 .   N umber of working days   (i)  M anufacturing days    
(ii) N on - manufacturing days    
(iii) T otal   ( i+ ii)    
14 .   T otal cost of production (in  Rs.)  
[entry in col .   8 of item  9 ,   10 ,     11 , and  12 , block E + entry in col .   3 of item  1, 2(i), 2(ii), 3, 4, 5, 6, 7 ,    8,   9 & 10, block 
F + entry in col. 6 of item 23 of block H + entry in col .   6 of item 7, block I]    
 
    DSL   No               PSL No

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
                        
   
                 
 
 
 
 
 
 
 
 
 
 
 
  DSL   No               PSL No            
  Block F :  OTHER EXPENSES  
Sl. No.   Items   Expenditure 
(in Rs.)  
(1)     (2)     (3)    
 
O  
T  
H  
E  
R  
 
 
I  
N  
P  
U  
T  
  1.   Work done by others on materials supplied by the 
industrial undertaking    
2.   Repair & maintenance of     
                            (i)  Buildings and other construction    
                            (ii) Other fixed assets    
3.   Operating expenses    
4.   Expenses on raw materials and other components for 
own construction    
5.   Insurance charges    
6.   Rent paid for plant & machinery and other fixed assets    
7.   Expenses on  Research & Development (R&D)
 
  8.   Rent paid for buildings    
9.   Rent paid for land on lease or royalties on mines, 
quarries and similar assets    
10.   Interest paid    
11.   Purchase value of goods sold in the same condition as 
purchased       Block G: OTHER OUTPUT/RECEIPTS  
Sl. No.   Items   Receipts  
  (in Rs.)  
(1)     (2)     (3)    
 
O  
T  
H  
E  
R  
 
O  
U  
T  
P  
U  
T  
  1.   Receipts  from  manufacturing  services  (including 
work  done  for  others  on   materials  supplied  by 
them and sale value of waste left by the party )    
2.   Receipts   from  non - manufacturing  services 
(including non - industrial services)  
3.   Value of electricity generated and sold    
4.   Value of own construction    
5.   Net balance of goods sold in the same condition 
as purchased.  
  (item 11 of block G  minus   item 11 of block F)    
6.   Rent received for plant & machinery and other 
fixed assets    
7.   Variation in stock of semi - finished goods   
(col.4  minus   col 3 against item 5 in block D)  
  8.   Rent received for buildings    
9.   Rent received for land on lease or  royalties on 
mines, quarries and similar assets    
10.   Interest received    
11.   Sale value of goods sold in the same condition as 
purchased    
12.   Other production  subsidies

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
  
 
Block H:  I ndigenous  input  items consumed   (if needed, additional sheets may be used for  recording  input items with serial nos. starting from 25)  
Sl. 
No.   I tem description   I tem code  
( NPC - MS )   U nit of quantity   Q uantity consumed   P urchase value  
( in Rs.)   R ate per unit (in Rs.)
(1)     (2)     (3)     (4)     (5)     (6)     (7)    
  M ajor ten basic items (indigenous)          
1.                
2.                
3.                
4.                
5.                
6.                
7.                
8.                
9.                
10.                
11.   O ther basic items (indigenous) *   99201 00  
         
12.  
T otal basic items   
(items 1 to 11)   99901 00          
13.   N on - basic chemicals  â    
all  kinds   99203 00          
14.   P acking items   99908 00          
15.   E lectricity own generated   99904 00   KWH        
16.   E lectricity purchased & consumed   99905 00   KWH        
17.   P etrol, diesel, oil, lubricants 
consumed   99906 00          
18.   C oal consumed   99907 00   Tonne        
19   G as  consumed   99909 00   KG        
20.   O ther fuel consumed   99204 00          
21.   C onsumable store   99220 00          
22.   T otal non - basic items  
(items 13 to 21 )   99920 00          
23.  
T otal inputs (items 12+ 22) 99930 00          
24.   A ny additional requirement of 
electricity (unmet demand)   9999999   KWH  
     
*  F ull description of  items   not in  NPC - MS 201 1 (Revised) :  
  DSL   No               PSL No

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
  
  Block I:   I mported input items consumed  -   directly only  (if needed, additional sheets may be used for recording input items with serial nos. starting   from 8)
Sl. 
No.   I tem description  
( M ajor five imported 
items)   I tem code  
( NPC - MS )   U nit of quantity   Q uantity consumed   P urchase value (in Rs.) R ate per unit (in Rs.)
(1)     (2)     (3)     (4)     (5)     (6)     (7)    
1.                
2.                
3.                
4.                
5.                
6.     O ther  imported  items    99221 00  
       
7.    
T otal  imports 
(consumed) (items 1 to 6)   99940 00          
 
 
Block J:  P roducts and by - products manufactured by the unit   (if needed, additional sheets may be used for recording output items with serial nos. starting from 14)       
Sl. 
No.   P roducts/ B y -
products description   
( F irst  ten  major 
items as per value  -  
no brand name)   I tem code 
( NPC -
MS )   U nit of 
quantity   Q uantity 
manu -
factured   Q uantity 
sold   G ross sale 
value (Rs)    D istributive expenses (Rs.)   P er unit net 
sale value 
(Rs. 0.00)  
(col. 7 - [col. 
8+col. 
9+col.10 -
col.11 ] )   
Ã· col. 6   E x - factory 
value of  
quantity  
manufactured   
(Rs.)   (col.12Ã 
col.5)Goods 
and 
Services 
Tax  
(GST)   Excise 
Duty/ Sales 
Tax/VAT/  
Other  
Taxes, if 
any    Other 
Distributive 
Expenses   Subsidy   
( - )  
(1)     (2)     (3)     (4)     (5)     (6)     (7)     (8)     (9)     (10)     (11)     (12)     (13)  
1.                            
2.                            
3.                            
4.                            
5.                            
6.                            
7.                            
8.                            
9.                            
10.                            
11.   Other products/  
  by - products*   9921100                      
12.   Total ( items 1 to 11)
9995000                      
13.     Share (%) of products/by - products directly exported       
* Full description of items not in NPC - MS 201 1 (Revised)    
DSL   No                
PSL No            
DSL   No               PSL No

ASI Sch edule   20 1 8 - 1 9                                                                                                                                                                                                                                                                           
 
      
 
 
Block K:  I nformation and  C ommunication technology (ICT)
usage     B lock L:  E nergy  C onservation (EC) measures  
Sl. No.  
  ICT indicator   yes - 1, no - 2  
    Sl. No.   EC indicator  
  yes - 1, no - 2  
 
1.   Did  the  factory  use  computer/s  during  FY 
201 7 - 1 8 ?      
H ave  any measures been taken during  
l ast financial year with regard to:    
2.   D id  the  factory  use  the  internet  during  FY 
2017 - 18 ?      
3.   Did the factory have a website as on the date 
of survey?        
4.   D id the factory receive orders via the internet 
during FY  2017 - 18 ?       1.   E lectrical saving?     
5.   D id  the  factory  place  orders  for  business 
purpose via the internet during FY  2017 - 18 ?       2.   C oal saving?    
6.   D id  the  factory  connect  to  the  internet  either 
by  a.  Narrowband  or  b.  Fixed  broadband  or 
c. Mobile broadband during FY  2017 - 18 ?       3.   O il saving?  
 
7.   D oes  the  factory   ha ve   a  local  area  network  
(LAN) as on the date of survey ?       4.   G as saving?  
   
 
FOR OFFICIAL  USE ONLY  
  Block M :   P articulars of field operations  
1.   N ame of  Superintending Officer       5.   Date of receipt from factory    
2.   S ignature of  Superintending Officer     6.   D ate of verification/compilation    
3.   N ame  & Desig nation   of   Scruti nising 
O ffi cer     7.   D ate(s) of scrutiny    
4.   S ignature of  Scrutinising Officer       8.   D ate of despatch    
 
Block N :   C omments of  Superintending Officer/Scrutinising  O fficer  
 
Note:  Reasons  for  negative  working capital  and for  any  abnormal  values  or  entries  (high  or  low)  in  respect  to  important  chara cteristics 
(Such  as  GVA,  working  capital,  wage  rate,  number  of  workers,  distributive  expenses,  depreciation  etc.)  should  be  given  invariably.  For 
instance  the  reasons  for  high  GVA  could  be  increased  demand/production,  profit,  govt.  subsidy;  or  for  low  GVA,  the  reasons  co uld  be 
decreased  demand/production,  capacity  under - utilization,  high  input  cost  etc.  similarly  reasons  for   any  abnormal  values  of  certain 
important ratios eg. Ratio of output to input, ratio of depreciation/distributive expenses to output etc should be given.   
Please refer to detailed instruction s   also for further guidance.    
DSL   No               PSL No

ASI Sch edule   20 1 8 - 1 9                                                                                                                                               
 
 Annual Survey of Industries 20 1 8 - 20 1 9  
Part A  
    Report of scrutiny on Part - I of the return  
 
State (code)__________________Distt. (code)______________             DSL  No./PSL  No.___________  
Ind. code (5 - digit NIC  2008) as per return ______________                    Scheme Code ______________  
 
Sl. 
No.   Bl. no.   I tem   U nit   A verage rate per 
unit*   I f high or low , reasons to be 
furnished by  
1   H   Input items (Indigenous) 
Major Ten basic items 
consumed   X   X   Superintending  
Officer   S crutinising 
Officer   
1)          
2)      
3)      
4)      
5)      
6)      
7)      
8)      
9)      
10)      
11)  E lectricity purchased      
12)  C oal      
2   I   D irectly imported items 
consumed (major five  items)        
    1)      
    2)      
    3)      
    4)      
    5)      
 
*Average value per unit in nearest whole rupee is to be reported.   
3. Percentage yield of product from the basic materials consumed (in case the quantity are common or directly convertible   
     in whole number)
 
 
4  
I tem   C urrent year  
  (20 1 8 - 1 9 )   P revious year  
  (20 1 7 - 1 8 )   R easons for 
significant 
variation, if any.  
  1)  A verage salaries/wages per manday worked 
(Rs.)  
   (E
5,8   /  E
5,5 )        
  2)  T otal worker (number)
     (E
5,6 )        
  3)  T otal employees (number)
     (E
9,6 )        
  4)  T otal emoluments  
  (E
9,8   +   E
10, 8   +  E
11,8   +  E
12,8 )        
  5) V ariation in finished goods  
    (D
6,4   â   D
6,3 )          
  6)  W orking Capital  
    (D
1 6,4 )        
  7)  T otal input  
(F
1,3 +F
2a,3 +F
2b,3 +F
3,3 +F
4,3 +F
5,3 +F
6,3 +F
7,3 )  (+)  
(H
23,6 )   (+)     (I
7,6 )        
  8)  Total output  
    (J
12,7 )   ( - ) (J
1 2 ,8 +J
12,9 +J
12,10 - J
12,11 )   +   (D
6,4   â   D
6,3 ) 
+   ( G
1,3 +G
2,3 +G
3,3 +G
4,3 +G
5,3 +G
6,3 +G
7,3 )        
  9) Gross value added (GVA)
    (Item 8 - Item 7 as above)

ASI Sch edule   20 1 8 - 1 9                                                                                                                                               
 
  
Item   Current year  
  (201 8 - 1 9 )   Previous year  
  (20 1 7 - 1 8 )   Reasons for 
significant 
variation, if any.  
  10) Net value added  
    (Item 9 as above)   -   Depreciation (C
10,9 )         
  11) Net Income  
    (Item 10 as above)   ( - )  (F
8,3 +F
9,3 +F
10,3 )   (+)  
(G
8,3 +G
9,3 +G
10,3 )        
  12) Profit   
    (Item 11 as above)   ( - ) (E
9,8 +E
10,8 +E
11,8 + E
12,8 )        
  13) Actual addition to fixed assets   
   (C
10,5 )        
  14)  GVA (through Ex - factory Value)   (J
12,13 ) 
(+)   (G
1,3 +G
2,3 +G
3,3 +G
4,3 +G
5,3 +G
6,3 +G
7,3 )            
( - )   (F
1,3 +F
2a,3 +F
2b,3 +F
3,3 +F
4,3 +F
5,3 +F
6,3 +F
7,3 )   ( - ) 
(H
23,6 )     ( - )  (I
7,6 )        
 
 
5.  Impose check on the  following and give observations against each item  
 
Sl .  
No.   C heck points   O bservations      
  (Yes - 1/No - 2)  
1.   Whether codes and identification particulars have been correctly furnished in Block A?    
2.   Whether information for all the items in Block B have  been correctly furnished?    
3.   If the  w orking  c apital in  item 16 of Block D is negative whether reasons furnished in 
he footnote of Block   D of the Return and also in  Bl ock  N   along with code.      
4 .   Whether the return has been duly signed by  o wner with  stamp?    
5 .   If wide variation is noticed between Opening & Closing value of Working Capital, 
whether reasons furnished in the footnote of Block D and also in Block  N  along with 
code    
6 .   Whether special check has been made in case of negative GVA?    
7 .   Whether basic entries have been thoroughly rechecked where output/input ratio Is less 
than 0.5    
8 .   Whether ratio of Distributive expenses to  g ross sales is reasonable? If no, whether  t he 
relevant entries have been rechecked particularly where this ratio e xceeds 20%.    
9 .   If the total Bonus is more than 20% of total wages/salaries whether suitable remarks 
given in the Return?      
1 0 .   If sale value of goods sold in same condition as purchased (Item - 1 1   of Block G) is less 
than the purchase value of the same (Item - 11 of Block F), whether reasons furnished in 
the return ?    
1 1 .   Whether Balance Sheet, Profit & Loss Account and Working Sheet are attached   w ith 
the O/C of the Return ?    
1 2 .   Whether, the ex - factory value of output in column - 13 of Block J have been   
calculated correctly for each of the 10 major items of product and by - product and also 
for item 11 ?    
1 3 .   Whether the entries in Blocks H & I are reported independently ?    
 
 
 
Signature of the Superintending   Officer  
 
(                                     )  
Name of  the Superintending   Officer

ASI Sch edule   20 1 8 - 1 9                                                                                                                                               
 
  
PART - B  
(To be filled in by Scrutinizing officer)  
 
Impose check on the following and give observations against each item  
Sl .  
No.   C heck  p oints   O bservations  
(Yes - 1/No - 2)  
 
1.   Examine the Industry Code with reference to Production/Process  
and stat e whether Industry Code    is reported in 5 digit  
NIC 2008 against item 5 of Block A.  
   
2.   Whether valid new State Code has been entered against item 7 of   
Block âAâ?  
   
3.   Whether Schedule Despatch no. has been correctly filled in against  
item 1 of Block A ?   
   
4.   State whether proper remarks in Block N for all important   
parameters such as GVA, working capital, wage rate, number of   
workers, distributive expenses, depreciation etc. are given.   
   
5.   Whether average salaries/wages per manday worked (worker) has  
been checked calculated correctly and are within the reasonable  
limits?  
   
6.   Whether special check has been made in case of negative GVA?  
   
7.   Whether basic entries have been rechecked where output/Input ratio  
is less than 0.5  
   
8.   Whether ratio of  d istributive expenses to  g ross sales is reasonable?  
If no, whether  the relevant entries have been rechecked particularly  
where this ratio exceeds 20%.   
   
9.   If total  b onus exceeds 20% of total  s alaries &  w ages, whether suitable   
remarks furnished ?  
   
10.   Whether yield ratio of products from  b asic  m aterials  c onsumed (in   
case the units of  q uantity are common or  d irectly convertible) are  
correctly calculated and are within prescribed limits ?   
   
11.   Whether data reported in the return have been checked with Balance  
Sheet and Profit & Loss Account ?  
   
 
   
 
Signature of  Scrutinizing officer  
 
(                                   )  
Name of Scrutinizing officer

ASI Sch edule   20 1 8 - 1 9                                                                                                                                               
 
 CONFIDENTIAL  
ANNUAL SURVEY OF INDUSTRIES 20 1 8 - 20 1 9  
PART II   MANDAYS WORKED,ABSENTEEISM & LABOUR TURNOVER  
 
Block 1. Identification  and other Particulars  
 
 
 
Block 2 -   Mandays worked, absenteeism, labour turnover for regular workers directly employed for each month of the year.  
 
Sl 
no.   Month   Scheduled   
Working 
days for 
Workers   No of 
Mandays 
Worked   No of 
Mandays 
lost due 
to 
absence   No of Workers in 
employment  on   Accessions 
during the 
Month   Separations during the 
month due to  
First day of 
month   Last day of  
month   Death or 
retirement   Other 
causes  
0   1   2   3   4   5   6   7   8   9  
1.   Apr , 20 1 8  
               
2.   May ,  20 1 8  
               
3   June ,  20 1 8  
               
4   July ,  20 1 8  
               
5   Aug ,  20 1 8  
               
6   Sep ,  20 1 8  
               
7   Oct ,  20 1 8  
               
8   Nov ,  20 1 8  
               
9   Dec ,  20 1 8  
               
10   Jan ,  20 1 9  
               
11   Feb ,  201 9  
               
12   Mar ,  201 9  
               
 
 
 1.   Schedule Despatch No.                   10.    Type of Organisation        
(code)
    16 .  Signature  
 
2.   PSL No.                                                      
3 .   Scheme Code (census  -   1, sample  -   2)                           11.    Company 
Identification Number 
(CIN)     17. Name of S crutinizing 
Officer  
 
4.    Industry code as per  frame  (4 - digit level of NIC  -   0 8 )       12 .  Accounting Year  
 
 5 .   Industry code as per return   (5 -   digit level of NIC  -   08)        18.  Personnel 
code    
6. Description of Industry   
 
    13.   Name of Superintending 
Officer   19 .  Head   
       Quarter    
7 .  State code                      
    14. Personnel   
        code       20 .  S ignature.  
 
8. District code                                       15 .   Head   
       Quarter     
9 .    RO/SRO code                                   
Name and address of  the Industrial Undertaking    
City/ Town/ Village     Tehsil/ Taluk     District     State

CONCEPTS AND DEFINITIONS
 	
Important concepts and definitions used in ASI are explained below.  	
1.A num
ber of accounting, economic and other terms related to the factories are used in
                                                   
those are given below.
2.          
                                    
the factory closes its books of account. With the enactment of Income Tax Act, by and large, the
accounting ye ar of all factories is from April to March.
3.Ref
erence Period:  It is correspon ds to the financial year. For example, for ASI  2018-
2019  the reference period is the financial year commencing from 1	st April 20 18 and ending on 31	st	
March 2
019  or the accou nting year of the factory ending on any date between 01.04.2018  to
31.03.2019.
4.   
                                          
                                              
      
5.   
                                          
Sections 2m(i) and 2m(ii) of the Factories Act, 1948. The Sections 2m(i) and 2m(ii) refer to any
premises including the precinct thereof  (i) wherein  ten or more workers are working, or were
working on any day of the preceding twelve months, and in any part of which a manufacturing
process is being carried on with the aid of power, or is ordinarily so carried on, or (ii) wherein
twenty or more workers are working, or were working on any day of the preceding twelve months
and in any part of which a manufacturing process is being carried on without the aid of power, or
is ordinarily so carried on. Closed factories with fixed assets on site are also considered as
registered factories till they are de- registered and removed from the live- register maintained by the
Chief Inspector of Factories (CIF) in the State.
6. Manufacturing Process:
 This is as per Section 2(k) of the Factories Act, 1948.	
âAn y processâ for:
 	
(i)making, altering, ornamenting, finishing, packing, oiling, washing, cleaning,
breaking up, demolishing or otherwise treating or adapting any article or
substance with a view to its use, sale, transport, delivery or disposal; or,
(ii) pumping oil, w ater or sewage ; or,
(iii) generating , transforming or transmitting power; or,
(iv) composing types for printing by letter press, lithography, photogravure or
other similar process or book binding; or,           
(v) constructing, reconstructing, repairing, refitting, finishing or breaking up
ships or vessels; or,  
(vi) preserving or storing any article in cold storage. conduct of Annual Survey of Industries. For proper assessment and interpretation of  ASI data,
Accounting Year: For the purpose of ASI, the accounting year is the period on which
Survey Period: Survey period is a period during which work of any Annual Survey of
Industries is undertaken. The survey period for ASI 2018-2019 is from November, 2019 to
June, 2020.
Factory (as  per  the Factory Act 1948): Factory is one, which is registered under

7.Gross Value of Plant and Machinery:  Gross value of plant and machinery represents
the total original (un -depreciated) value of installed plant and machinery as at the end of the
accounting year. It includes the book value of own constructed plant and machinery, if installed,
and the approximate value of rented -in plant and machinery as at the time of renting in but
excludes the value of rented -out plant and machinery. Total value of all the plant and machinery
acquired on hire -purchase basis is also included. Thus it represents the gross value of  plant and
machinery engaged in production process.
8. Fixed C
apital: Fixed Capital represents the depreciated value of fixed assets owned
by the factory as on the closing day of the accounting year. Fixed assets are those, which have
normal productive life of more than one year. Fixed capital covers all type of assets, new or used
or own constructed, deployed for productions, transportation, living or recreational facilities,
hospitals, schools, etc. for factory personnel. It would include land, building, plant and machinery,
transport equipment etc. It includes the fixed assets of the head office allocable to the factory and
also the full value of assets taken on hire- purchase basis (Whether fully paid or not) excluding
interest element. It excludes intangible assets and assets solely used for post -manufacturing
activities such as, sale, storage, distribution, etc.
9. Depreciation:  Depreciation is consumption of fixed capital by the factory due to wear
and tear and obsolescence during the accounting y ear and is taken as provided by the factory
owner, or if not provided by the factory this is estimated on the basis of cost of installation and
working life of the fixed assets.
10. Finished Goods:
 Finished Goods are those, which are manufactured by the  factory for
sale. Finished goods should conform to a prescribed standard.
11. Phys
ical Working Capital:  This is defined to include all physical inventories owned,
held or controlled by the factory as on the closing day of the accounting year such as the materials,
fuels and lubricants, stores, etc. that enter into products manufactured by the factory itself or
supplied by the factory to others for processing. Physical working capital also includes the value of
stock of materials, fuels and stores etc. purchased expressly for re- sale, semi-finished goods and
goods- in-process on account of others and goods made by the factory which are ready for sale at
the end of the accounting year. However, it does not include the stock of the materials, fuels,
stores,  etc. supplied by others to the factory for processing. Finished goods processed by others
from raw materials supplied by the factory and held by them are included and finished goods
processed by the factory from raw materials supplied by others, are exclud ed.
12.Working Capital:
 Working Capital is the sum total of the physical working capital as
already defined above and the cash deposits in hand and at bank, land, the net balance of amounts
receivable over amounts payable at the end of the accounting year. Amounts receivable include
value of credit items on revenue account, such as sums due to the factory for goods sold, amounts
advanced in connection with normal factory work, bills of exchange payable to the factory,
payments made in advance such as fo r fire insurance, telephone charges, rates and taxes, call
deposits and security deposits having a normal life of less than one year, etc. It excludes unused
overdraft facility, fixed deposits irrespective of duration, advances for acquisition of fixed ass ets,
long-term loans including interest thereon and investment.
13. Invest
ed Capital:  Invested capital is the total of fixed capital and physical working
capital.
14. Produc
tive Capital:  This is the total of fixed capital and working capital.

15.Outstanding Loans:  Outstanding loans represent all loans, whether short -term or
long- term, whether interest bearing or not, outstanding according to the books of the factory as on
the closing day of accounting year.
16. Contract Worker:  All persons who are not employed directly by an employer but
through the third agency, i.e. contractor, are termed as contract workers. Those workers may be
employed with or without the knowledge of the principal employer.
17. Emp
loyees:  Employees relate to all  persons engaged by the factory whether for
wages or not, in work connected directly or indirectly with the manufacturing process and include
all administrative, technical and clerical staff as also labour in production of capital assets for
factoryâs own use. This is inclusive of persons holding position of supervision or management or
engaged in administrative office, store -keeping section and welfare section, watch and ward staff,
sales department as also those engaged in the purchase of raw materials etc. and production of
fixed assets for the factory. It also includes all working proprietors and their family members who
are actively engaged in the work of the factory even without any pay and the unpaid members of
the co -operative societies who work in or  for the factory in any direct and productive capacity.
Persons in the head office connected with the manufacturing activity of the factory are also
included in this item.
18. Labo
ur Turnover:  Labour turnover measures the extent of change in the working
force due to accession and separation during a given period.  The term âaccessionâ was defined as
the total number of workers added to employment during the period, whether new or re -employed
or transferred from other establishments or units under the sam e management. Inter-departmental
transfers within the same establishment are, however ignored. The term âseparationâ implies
termination of employment at the instance of worker or employers. It includes termination of
services due to death or retirement. As in the case of accession, transfers to other establishments
are included but transfers within the same establishment are ignored. Retrenchment as a result of
rationalization  or modernization or any other cause, is also treated as separation.
19.Wages: Wa ges are defined to include all remuneration capable of being expressed in
monetary terms and also payable/ paid more or less regularly in each pay period to workers
(defined above) as compensation for work done during the accounting year. It includes :
(i) Direct wages and salary (i.e. basic wages/salaries, payment of overtime, dearness,
compensatory, house rent and other allowances);
(ii) Remuneration for period not worked (i.e. basic wages), salaries and allowances payable for
leave period, paid holi days, lay-off payments and compensation for unemployment (if not paid
from source other than employers);
(iii ) Bonus and ex-
gratia payment paid both at regular and less frequent intervals (i.e., incentive
bonuses and good attendance bonuses, production bonuses, profit sharing bonuses, festival or
yearend  bonuses etc.).

It  excludes layoff payments and compensation for employment except where such payments are 
for  this purpose, i.e., payments not made by the employer. It excludes  employerâs contribution to 
old  age benefits and other social security charges, direct expenditure on maternity benefits and 
cr eches and other group benefit in kind and travelling and other expenditure incurred for business 
purposes and reimbursed by the employer. The wages are expr essed in terms of gross value, i.e., 
before deductions for fines, damages, taxes, provident fund, employeeâs state insurance 
contribution etc. Benefits in kind (perquisites) of individual nature are only included.    20. Bonus
: Profit sharing bonus, fe stival bonus, year-end bonus, and all other bonuses and
ex -gratia payments paid at less frequent intervals are covered by this term.
21. Workmen and Staff Welfare Expenses:
 These include expenditure incurred by the
employer on the maternity benefits and  crÃ¨ches and other benefits such as supply of food,
beverages, tobacco, clothing and group lodging at confessional rates and educational, cultural and
recreational facilities and services and grants to trade unions and cooperative stores meant for
employee s. All group benefits are included .
22.Emo
luments:  These are defined in the same way as wages but paid to all employees
plus imputed value of benefits in kind i.e. the net cost to the employers on those goods and
services provided to employees free of  charge or at markedly reduced cost which are clearly and
primarily of benefit to the employees as consumers. It includes profit sharing, festival and other
bonuses and ex- gratia payments paid at less frequent intervals (i.e. other than bonus paid more or
less regularly for each period). Benefits in kind include supplies or services rendered such as
housing, medical, education and recreation facilities. Personal insurance, income tax, house rent
allowance, conveyance etc. for payment by the factory also is  included in the emoluments.
23.Sup
plements  to Emoluments:  These include: (i)  employerâs contribution to old age
benefits, i.e., provident fund, pension, gratuity, etc.; (ii) e mployerâs contribution towards other
social security charges such as Employeesâ State Insurance, compensation for work injuries,
occupational diseases, maternity benefits, retrenchment and lay- off benefits etc.;  and (iii) group
benefits like direct expenditure on maternity, crÃ¨ches, canteen facilities, educational, cultural and
r ecreational facilities and grant to trade unions, co -operative stores etc. meant for employees.
24. Co
mpensation o f Employees: Compensation of employees is the total of emoluments
and supplement to emoluments.
25. Mand
ays Worked:  These are obtaine d by summing up the number of mandays worked
by persons working in each shift over all the shifts on all days, i.e. both manufacturing and non-
manufacturing days. This figure excludes persons who are paid but remain on leave, strike, etc.
26. Manday
s Paid For:  The number of mandays paid for is arrived at by summing up the
number of employees paid for in each shift. This also includes mandays on weekly schedule
holidays if paid for and those absences with pay as also mandays lost through lay off/ strike f or
which compensation was payable.
27. Worki
ng Day:  Working day means the days on which a manufacturing process and/ or
repair or maintenance work was carried on.

28.Non-working Day:  Apart from manufacturing day and repair and maintenance days
ther e may be some non -working days. Non working days are those days on which the workers
give their attendance but due to non- availability of raw materials power etc. no effective work is
done. As the workers are paid for these days such days are also taken in to account for the purpose
of labour statistics.
29. Basi
c Materials:  Basic materials are the materials which are important and of key
nature to the industry, on which the manufacturing process is based, viz . metal for machine, leather
for shoe. Such material is not lost through the process of production but only changes its forms.
30. Consumable Stores
:  All such materials which assist the manufacturing process and
loose their identity without entering the products are called consumable stores, e.g., cotton waste.
31. Fu
el Consumed : Fuel Consumed represent total purchase value of all items of fuels,
lubricants, electricity, water (purchased to make steam) etc. consumed by the factory during the
accounting year except those which directly enter into products as materials consumed. It excludes
that part of fuels, which is produced and consumed by the factory in manufacture i.e., all
intermediate products and also fuels consumed by employees as part of amenities. It includes
quantities acquired and consumed from allied concerns, their book value being taken as their
purchase value and also the quantities consumed in production of machinery or other capital items
for factory's own use.
32. Materials Consumed:  Materials consumed represent the total delivered value of all
items of raw materials, components, chemicals, packing materials and stores which actually
entered into the production process of the factory during the accounting year. It also includes the
cost of all the materials used in the producti on of fixed assets, including construction work for
factoryâs own use. Components and accessories fitted as purchased with the finished product
during the accounting year are also to be included. It excludes intermediate products. Intermediate
products in the above context mean all those products which are produced by the factory and
consumed for further manufacturing process.
33. Tot
al Input:  This comprises gross value of fuels,  materials etc. consumed (as defined
above) and also other inputs viz. (a) cost of non- industrial services received from others, (b) cost
of materials consumed for repair and maintenance of factoryâs fixed assets including cost of work
done by others to the factoryâs fixed assets, (c) cost of contract and commission work done by
others on materials supplied by the factory, (d) cost of office supplies and products reported for
sale during last year & used for further manufacture during the accounting year and (e) rent paid
for buildings and plant & machinery and other fixed assets,  (f) expenses on Research &
Development (R&D).
34. Intermediate Product:  Intermediate Product is a product which is obtained during a
manufacturing process, which may or may not be saleable and is not the intended final product.
35. Net
 Value of Semi -Finished Goods:  It represents the excess/deficit of value of semi -
finished goods and/or goods -in -process at the end of the accounting year over that at the beginning
of year.

36.Products: These are defined to include the ex -factory value (i. e. exclusiv e of taxes,
duties etc. on sale and inclusive of subsidies etc., if any) of all products and by-products, excluding
intermediate products, that have been completed during the accounting year for sale whether
actually sold during the accounting year or entered into books. Also include fixed assets produced
by the factory for its own use.
37. Gro
ss Output : Gross output is defined to include the ex- factory value, (i.e., exclusive
of taxes, duties, etc. on sale and inclusive of subsidies etc., if any) of products and by-products
manufactured during the accounting year, and the net value of the semi -finished goods, value of
own construction and also the receipts for industrial and non- industrial services rendered to others,
rent received for building, plant &  machinery and other fixed assets,  net balance of goods sold in
the same condition as purchased, value of electricity generated and sold and an amount equal to
expenses on research & development (R&D). Value of gross output and total output has been used
i n the text inter -changeably to mean the same thing.
38. Ind
ustrial Services : Any services taken or rendered from one to another unit resulting
in increase in the value of material during the manufacturing process are industrial services.
39. Non-Indus trial Services:  All such services which do not have a direct bearing on the
manufacturing process but are needed by any manufacturing unit are called non- industrial services,
say, transport.
40. Net Value Added :  This is the increment to the value of goods and services that is
contributed by the factory and is obtained by deducting the value of total inputs and depreciation
from gross value of output.
41. Net Income:
 It is obtained by deducting the value of rent paid & interest paid from the
NVA.
42. Net Profit:
 It is obtained by deducting compensation of employees from net income.

Description NIC-4 
digit Sector Remarks
0163 - Post-harvest crop activities
0163 F NIC 01632 is under coverage only.
0164 - Seed processing for propagation
0164 F NIC 01640 is under coverage only.
0893 - Extraction of salt
0893 F NIC 08932 is under coverage only.
1010 - Processing and preserving of meat
1010 F
1020 - Processing and preserving of fish, crustaceans and molluscs
1020 F
1030 - Processing and preserving of fruit and vegetables
1030 F
1040 - Manufacture of vegetable and animal oils and fats
1040 F
1050 - Manufacture of dairy products
1050 F
1061 - Manufacture of grain mill products
1061 F
1062 - Manufacture of starches and starch products
1062 F
1071 - Manufacture of bakery products
1071 F
1072 - Manufacture of sugar
1072 F
1073 - Manufacture of cocoa, chocolate and sugar confectionery
1073 F
1074 - Manufacture of macaroni, noodles, couscous and similar 
farinaceous products
1074 F
1075 - Manufacture of prepared meals and dishes
1075 F
1079 - Manufacture of other food products n.e.c.
1079 F
1080 - Manufacture of prepared animal feeds
1080 F
1101 - Distilling, rectifying and blending of spirits
1101 F
1102 - Manufacture of wines
1102 F
1103 - Manufacture of malt liquors and malt
1103 F
1104 - Manufacture of soft drinks; production of mineral waters and other 
bottled waters
1104 F
1200 - Manufacture of tobacco products
1200 B
1311 - Preparation and spinning of textile fibres
1311 F
1312 - Weaving of textiles
1312 F
1313 - Finishing of textiles
1313 F
1391 - Manufacture of knitted and crocheted fabrics
1391 F
1392 - Manufacture of made-up textile articles, except apparel
1392 F
1393 - Manufacture of carpets and rugs
1393 F
1394 - Manufacture of cordage, rope, twine and netting
1394 F
1399 - Manufacture of other textiles n.e.c.
1399 F
1410 - Manufacture of wearing apparel, except fur apparel
1410 F
1420 - Manufacture of articles of fur
1420 F
1430 - Manufacture of knitted and crocheted apparel
1430 F
1511 - Tanning and dressing of leather; dressing and dyeing of fur
1511 F
1512 - Manufacture of luggage, handbags and the like, saddlery and 
harness
1512 F
1520 - Manufacture of footwear
1520 F
1610 - Sawmilling and planing of wood
1610 F
1621 - Manufacture of veneer sheets and wood-based panels
1621 F
1622 - Manufacture of builders' carpentry and joinery
1622 F
1623 - Manufacture of wooden containers
1623 F
1629 - Manufacture of other products of wood; manufacture of articles of 
cork, straw and plaiting materials
1629 F                
108
| Annual Survey of Industries Annexure -5 : List of NIC-2008 4-digit codes covered under ASI

Description NIC-4 
digit 1701 - Manufacture of pulp, paper and paperboard
1701 F
1702 - Manufacture of corrugated paper and paperboard and of containers 
of paper and paperboard
1702 F
1709 - Manufacture of other articles of paper and paperboard
1709 F
1811 - Printing
1811 F
1812 - Service activities related to printing
1812 F
1820 - Reproduction of recorded media
1820 F
1910 - Manufacture of coke oven products
1910 F
1920 - Manufacture of refined petroleum products
1920 F
2011 - Manufacture of basic chemicals
2011 F
2012 - Manufacture of fertilizers and nitrogen compounds
2012 F
2013 - Manufacture of plastics and synthetic rubber in primary forms
2013 F
2021 - Manufacture of pesticides and other agrochemical products
2021 F
2022 - Manufacture of paints, varnishes and similar coatings, printing ink 
and mastics
2022 F
2023 - Manufacture of soap and detergents, cleaning and polishing 
preparations, perfumes and toilet preparations
2023 F
2029 - Manufacture of other chemical products n.e.c.
2029 F
2030 - Manufacture of man-made fibres
2030 F
2100 - Manufacture of pharmaceuticals, medicinal chemical and botanical 
products
2100 F
2211 - Manufacture of rubber tyres and tubes; retreading and rebuilding of 
rubber tyres
2211 F
2219 - Manufacture of other rubber products
2219 F
2220 - Manufacture of plastics products
2220 F
2310 - Manufacture of glass and glass products
2310 F
2391 - Manufacture of refractory products
2391 F
2392 - Manufacture of clay building materials
2392 F
2393 - Manufacture of other porcelain and ceramic products
2393 F
2394 - Manufacture of cement, lime and plaster
2394 F
2395 - Manufacture of articles of concrete, cement and plaster
2395 F
2396 - Cutting, shaping and finishing of stone
2396 F
2399 - Manufacture of other non-metallic mineral products n.e.c.
2399 F
2410 - Manufacture of basic iron and steel
2410 F
2420 - Manufacture of basic precious and other non-ferrous metals
2420 F
2431 - Casting of iron and steel
2431 F
2432 - Casting of non-ferrous metals
2432 F
2511 - Manufacture of structural metal products
2511 F
2512 - Manufacture of tanks, reservoirs and containers of metal
2512 F
2513 - Manufacture of steam generators, except central heating hot water 
boilers
2513 F
2520 - Manufacture of weapons and ammunition
2520 F
2591 - Forging, pressing, stamping and roll-forming of metal; powder 
metallurgy
2591 FAnnexure -5 : List of NIC-2008 4-digit codes covered under ASI
Sector Remarks
 
                  Annual
 Su rvey  of  In dust ries

Description NIC-4 
digit 2592 - Treatment and coating of metals; machining
2592 F
2593 - Manufacture of cutlery, hand tools and general hardware
2593 F
2599 - Manufacture of other fabricated metal products n.e.c.
2599 F
2610 - Manufacture of electronic components and boards
2610 F
2620 - Manufacture of computers and peripheral equipment
2620 F
2630 - Manufacture of communication equipment
2630 F
2640 - Manufacture of consumer electronics
2640 F
2651 - Manufacture of measuring, testing, navigating and control 
equipment
2651 F
2652 - Manufacture of watches and clocks
2652 F
2660 - Manufacture of irradiation, electromedical and electrotherapeutic 
equipment
2660 F
2670 - Manufacture of optical instruments and photographic equipment
2670 F
2680 - Manufacture of magnetic and optical media
2680 F
2710 - Manufacture of electric motors, generators, transformers and 
electricity distribution and control apparatus
2710 F
2720 - Manufacture of batteries and accumulators
2720 F
2731 - Manufacture of fibre optic cables
2731 F
2732 - Manufacture of other electronic and electric wires and cables
2732 F
2733 - Manufacture of wiring devices
2733 F
2740 - Manufacture of electric lighting equipment
2740 F
2750 - Manufacture of domestic appliances
2750 F
2790 - Manufacture of other electrical equipment
2790 F
2811 - Manufacture of engines and turbines, except aircraft, vehicle and 
cycle engines
2811 F
2812 - Manufacture of fluid power equipment
2812 F
2813 - Manufacture of other pumps, compressors, taps and valves
2813 F
2814 - Manufacture of bearings, gears, gearing and driving elements
2814 F
2815 - Manufacture of ovens, furnaces and furnace burners
2815 F
2816 - Manufacture of lifting and handling equipment
2816 F
2817 - Manufacture of office machinery and equipment (except computers 
and peripheral equipment)
2818 F
2819 - Manufacture of other general-purpose machinery
2819 F
2821 - Manufacture of agricultural and forestry machinery
2821 F
2822 - Manufacture of metal-forming machinery and machine tools
2822 F
2823 - Manufacture of machinery for metallurgy
2823 F
2824 - Manufacture of machinery for mining, quarrying and construction
2824 F
2825 - Manufacture of machinery for food, beverage and tobacco 
processing
2825 F
2826 - Manufacture of machinery for textile, apparel and leather 
production
2826 F
2829 - Manufacture of other special-purpose machinery
2829 F
2910 - Manufacture of motor vehicles
2910 FAnnexure - : List of NIC-2008 4-digit codes covered under ASI
Sector Remarks
 
                   
Annual  Su rvey  of  In dust ries

Description NIC-4 
digit 2920 - Manufacture of bodies (coachwork) for motor vehicles; 
manufacture of trailers and semi-trailers
2920 F
2930 - Manufacture of parts and accessories for motor vehicles
2930 F
3011 - Building of ships and floating structures
3011 F
3012 - Building of pleasure and sporting boats
3012 F
3020 - Manufacture of railway locomotives and rolling stock
3020 F
3030 - Manufacture of air and spacecraft and related machinery
3030 F
3040 - Manufacture of military fighting vehicles
3040 F
3091 - Manufacture of motorcycles
3091 F
3092 - Manufacture of bicycles and invalid carriages
3092 F
3099 - Manufacture of other transport equipment n.e.c.
3099 F
3100 - Manufacture of furniture
3100 F
3211 - Manufacture of jewellery and related articles
3211 F
3212 - Manufacture of imitation jewellery and related articles
3212 F
3220 - Manufacture of musical instruments
3220 F
3230 - Manufacture of sports goods
3230 F
3240 - Manufacture of games and toys
3240 F
3250 - Manufacture of medical and dental instruments and supplies
3250 F
3290 - Other manufacturing n.e.c.
3290 F
3311 - Repair of fabricated metal products
3311 F
3312 - Repair of machinery
3312 F
3313 - Repair of electronic and optical equipment
3313 F
3314 - Repair of electrical equipment
3314 F
3315 - Repair of transport equipment, except motor vehicles
3315 F
3319 - Repair of other equipment
3319 F
3320 - Installation of industrial machinery and equipment
3320 F
3510 - Electric power generation, transmission and distribution
3510 E
3520 - Manufacture of gas; distribution of gaseous fuels through mains
3520 F
3530 - Steam and air conditioning supply
3530 F
3600 - Water collection, treatment and supply
3600 F
3700 - Sewerage
3700 F
3811 - Collection of non-hazardous waste
3811 F
3812 - Collection of hazardous waste
3812 F
3821 - Treatment and disposal of non-hazardous waste
3821 F
3822 - Treatment and disposal of hazardous waste
3822 F
3830 - Materials recovery
3830 F
4520 - Maintenance and repair of motor vehicles
4520 F
4540 - Sale, maintenance and repair of motorcycles and related parts and 
accessories
4540 F NIC 45403 is under coverage only.
5210 - Warehousing and storage
5210 F
5811 - Book publishing
5811 F
5812 - Publishing of directories and mailing lists
5812 F
5813 - Publishing of newspapers, journals and periodicals
5813 F
5819 - Other publishing activities
5819 FAnnexure  -5  :  List  of  NIC-2008  4-digit  codes  covered  under  ASI
Sector Remarks
 
                   
Annual  Su rvey  of  In dust ries

Description NIC-4 
digit 5911 - Motion picture, video and television programme production 
activities
5911 F
5912 - Motion picture, video and television programme post-production 
activities
5912 F
5913 - Motion picture, video and television programme distribution 
activities
5913 F
5920 - Sound recording and music publishing activities
5920 F
7420 - Photographic activities
7420 F
8292 - Packaging activities
8292 F
9511 - Repair of computers and peripheral equipment
9511 F
9512 - Repair of communication equipment
9512 F
9521 - Repair of consumer electronics
9521 F
9522 - Repair of household appliances and home and garden equipment
9522 F
9523 - Repair of footwear and leather goods
9523 F
9524 - Repair of furniture and home furnishings
9524 F
9529 - Repair of other personal and household goods
9529 F
9601 - Washing and (dry-) cleaning of textile and fur products
9601 FAnnexure -5  : List of NIC-2008 4-digit codes covered under ASI
Sector Remarks
 
                   
Annual  Su rvey  of  In dust ries

The Factories Act 	
1948	 
[63 of 	
1948]	 
  AIV.1 "F actory"  means  any premises  including  the precincts 	
thereof	 
  (i)  Wherein  ten  or  more  workers  are  working  or  were  working  on  any  day 	
of 
the  preceding    twelve    months,    and  in  any  part  of  which  a 	
manufacturing	  
process  is  being  carried  on  with  the  aid  of  power  or  is  ordinarily  so  carried 	
on,	 	
or,	 
  (ii)  Wherein  twenty  or  more  workers  are  working  or  were  working  on  any 	
day	 
of  the  preceding  twelve  months,  and  in  any  part  of  which  a 	
manufacturing	 
process  is being  carried  on  without  the  aid  of  power  or  is  ordinarily  so 	
carried	 
on,  but  does  not  include  a  mine  subject  to  the  operation  of  the  Mines 	
Act,	 
1952,  or  a  railway  running 	
shed.	 
  AIV.2  The  "M anufacturing  Process "  referred  to  above  has  been  defined  [vide 	
section	 	
2(k)]	 
in the Factories  Act, 	
1948	 	
as: 	"Any 	process	 	
for-	 
(i)      making,    altering,    ornamenting,    finishing,    packing,    oiling,   	
washing,	  
cleaning,  breaking  up,  demolishing  or  otherwise  treating  or  adapting  any 	
article	 
or  substance  with a view to its use , sale , transport , delivery  or disposal; 	
or,	 
(ii)    pumping  oil,  water  or  sewage 	
; 	
or,	 
(iii)  generating,  transforming  or  transmitting 	
power;	 	
or,	 
(iv) composing  types  for printing  by letter press,  lithography,  photogravure 	
or 
other  similar process  or book binding; 	
or,	 
 
(v) constructing,  reconstructing,  repairing,  refitting,  finishing  or breaking  up 	
ships	 
or 	
vessels.	 
(vi)  preserving  or  storing  any  article  in 	
cold	 	
storage"	 
 
 
 
 
 
 
 
 
[Abstract  from Factories  Act 1948 for 	
ASI]	 
 
 
 
 
 
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