GOVERNMENT OF MAHARASHTRA...Manufacture of basic metals C(p) 24 M16 Page | 5 Manufacture of...

GOVERNMENT OF MAHARASHTRA

A REPORT ON ‘UNINCORPORATED NON-AGRICULTURAL ENTERPRISES

(EXCLUDING CONSTRUCTION)’ BASED ON DATA COLLECTED IN

CENTRAL, STATE AND POOLED SAMPLES OF

67TH ROUND OF NATIONAL SAMPLE SURVEY

(JULY, 2010 – JUNE, 2011)

Directorate of Economics and Statistics, Planning Department, Government of Maharashtra,

Mumbai

PREFACE

The Directorate of Economics and Statistics has prepared a report on ‘Unincorporated Non-agricultural enterprises (excluding construction)’ based on the data of pooled (central & state) samples collected in the 67th round (July, 2010 – June, 2011) of National Sample Survey. 2. The report contains detailed results that are given in ‘Pooled results’. 3. I hope the results of this survey will be useful to senior officers of the Government involved in policy framing, researchers, economists and academicians.

Director

Mumbai Directorate of Economics and Statistics, April, 2016 Planning Department,

Government of Maharashtra

CONTENTS

Sr. No. Description Page No. (1) (2) (3) 1 Introduction and Background 1 2 Summary Findings 7 3 Testing poolability and Methodology for pooling 8 4 Poolability Test Results 13 5 Pooled Results 21 6 Annexure I : Sample size of each district in the state 67 7 Annexure II : Abbreviations 68

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Chapter-1

Introduction and Background

Background The National Sample Survey Office (NSSO), Ministry of Statistics and Programme Implementation (MOSPI), GOI conducts nationwide large scale sample surveys, since its inception in 1950, employing scientific sampling methods, to generate data and statistical indicators on diverse socio-economic aspects.

An all-India enterprise survey on economic and operational characteristics of ‘Un-incorporated Non-agricultural Enterprises (excluding construction)’ was conducted during the period 1st July 2010 to 30th June 2011.

State’s participation in NSS surveys Maharashtra state has been participating in the NSS surveys from 9th round onwards by using the same concepts, definitions and procedures and by adopting the same sample design based on independently drawn sample as that of NSSO called as the State samples. The sample size of the State sample in Maharashtra for rural area is equal to that of Central sample and for urban sample it is one and half times of the Central sample. The sample list of the State sample is drawn and supplied by the NSSO. District wise sample size of 67th round is given in Annexure-1. One of the objectives of states participation in the NSS programme is to provide a mechanism by which sample size will be increased and the pooling of the two sets of data would enable better estimates at lower sub state level, particularly at district level. At the State level, this will result in increased precision of the estimates and at disaggregated level, estimates will be more stable. But the major benefit will be derived in the case of estimates are generated at sub-state level like NSS regions/districts. Emerging need for pooling of Central and State samples The 73rd and 74th constitutional amendment (1992) has brought into existence the democratically elected grassroots institutions of local self governance, with respective delegated functions, both in rural and urban areas. This has enhanced the demand for local level statistics and necessitated requirement of developing basic capabilities at grass root levels to organize such statistics in a harmonious manner. In this context, it is envisioned that the survey resources in overall NSS programme both by Central and State Agencies can be more effectively utilized to generate lower level estimates of key indicators at district level. 13th Finance Commission, in Para 12.99 of its report, noted that “Comparable estimates of

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district income are extremely relevant for measuring intra-state income disparities. This will enable State Governments to effectively plan policy and programme interventions. They could also be used as a parameter for horizontal distribution of fiscal transfers”. The Commission also recommended for granting finance to State Governments, which should be utilized by them for strengthening statistical infrastructure at the district level. These requirements are subsequently brought in institutional framework in the implementation of the 13th Finance Commission. National Statistical Commission’s (NSC) Recommendation The National Statistical Commission in its reports has observed the importance of pooling in the statement:

“The statistical agencies of different State governments have been participating in the NSS programme and canvassing the same questionnaires in matched samples of households in their respective States following identical concepts, definitions and procedures. Results from the central samples and state sample(s) have occasionally been compared. The main purpose of the programme is to pool the two samples and obtain dependable estimates for regions within the States.”

National Statistical Commission (NSC) constituted the committee on pooling of Central and State samples in National Sample Surveys (NSS) etc under the chairmanship of Prof. R. Radhakrishna vide order no. 8(64)/2010-NSC, 30th July, 2010. The terms of reference of the committee are as follows:- • Conditions to be fulfilled for pooling of Central and State Sample NSS data • Methodology for pooling • Time frame by which the exercise needs to be completed by each State • Generating weighting diagrams from the pooled data at sub-state level for the purpose

of consumer price indices (Rural and Urban) including occupation specific indices such as CPIAL, CPIIW etc., from the NSS data on consumer expenditure surveys (quinquennial & thin sample)

Assistance of NSSO (DPD) for processing of NSS State Sample Data Since NSSO develops its own in-house software for processing the Central sample data, in the deliberations of COCSSO held in the recent past, it was recommended that NSSO should assist the States in terms of providing common Data Entry Software, Tabulation Software, Instructions Manual and Training and Hands on Practice to DES personnel. NSSO has already started providing this assistance to States. The harmonization of data processing process is one of the key essences for pooling the different sets of data. The state sample data should be processed using the same set of

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validation rules as in the case of Central sample data. Accordingly, it is essential that the State sample data is processed, ensuring the use of same data entry layout as in the case of Central sample. If the States are evolving their own data layout, as per their convenience, then the state data should be put in the layout, harmonized of that with the Central data for using the same software developed for Central samples. For Maharashtra state, the data entry software, validation software and tabulation software are developed by Directorate of Economics and Statistics using Oracle, Java and SAS software. For pooling purpose, state data is put in same layouts as that of Central data. Parameters considered for pooling: Considering the smaller sample size at district level following broad parameters were considered for pooling.

a) District wise estimated number of enterprises and workers by sector and BAC [broad activity category: Manufacturing(MFG), Trade and Services]

b) State level estimated enterprises and workers by sector and CC (compilation category) c) District wise emoluments per hired worker by sector d) District wise GVA per worker by sector and BAC e) State level GVA per worker by sector and CC

Testing the poolability of two sets of data:

a) District wise Wald-Wolfowitz run test for GVAPW by BAC for central and state sample separately for OAE and EST [non parametric Z-test]

b) District wise divergence test for GVAPW by BAC for central and state sample separately for OAE and EST (Establishments) between central and state sample [parametric Z-test]

Methodology of pooling:

Two alternate methods are used in pooling the central and state sample data.

a) Weighting by Matching ratio: Building aggregate estimate of pooled sample in proportion of matching ratio m:n of central and state sample aggregate estimates where m and n are the allotted sample for central and state samples separately for rural and urban sector. Building ratio estimate of pooled sample as ratio of aggregate estimates.

b) Weighting by inverse of variance: Ratio estimates are built by weighting the ratio estimate of central and state samples in proportion to inverse of variance of ratio of the central and state samples.

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Sample size:

Total sample size of Maharashtra State for Central and State sample is given below:

Sample

Rural Urban All

FSU’s surveyed

Enterprises surveyed

FSU’s surveyed


FSU’s surveyed


State 391 6839 1165 24000 1556 30839

Central 400 7352 776 15740 1176 23092

Pooled 791 14191 1941 39740 2732 53931

Compilation Category:

Compilation category used for generating state level results is as follows:

Description of activity category NIC 2008 Notations to

be used for generation of

tables section codes

(1) (2) (3) (4) Cotton ginning, cleaning and bailing A(p)* 01632 M1 Manufacture of food products C(p) 10 M2 Manufacture of beverages C(p) 11 M3 Manufacture of tobacco products C(p) 12 M4 Manufacture of textiles C(p) 13 M5 Manufacture of wearing apparel C(p) 14 M6 Manufacture of leather and related products C(p) 15 M7 Manufacture of wood and products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

C(p) 16 M8

Manufacture of paper and paper products C(p) 17 M9 Printing and reproduction of recorded media C(p) 18 M10 Manufacture of coke and refined petroleum products

C(p) 19 M11

Manufacture of chemicals and chemical products

C(p) 20 M12

Manufacture of pharmaceuticals, medicinal chemical and botanical products

C(p) 21 M13

Manufacture of rubber and plastics products C(p) 22 M14 Manufacture of other non-metallic mineral products

C(p) 23 M15

Manufacture of basic metals C(p) 24 M16

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Manufacture of fabricated metal products, except machinery and equipment

C(p) 25 M17

Manufacture of computer, electronic and optical products

C(p) 26 M18

Manufacture of electrical equipment C(p) 27 M19 Manufacture of machinery and equipment n.e.c.

C(p) 28 M20

Manufacture of motor vehicles, trailers and semi-trailers

C(p) 29 M21

Manufacture of other transport equipment C(p) 30 M23 Manufacture of furniture C(p) 31 M24 Other manufacturing C(p) 32 M25 Repair and installation of machinery and equipment

C(p) 33 M26

Manufacturing activities A(p), C 10-33, 01632 M

Trade and repair of motor vehicles and motor cycles G(p) 45 T1

Activities of commission agents G(p) 461 T2

Other wholesale trade G(p) 462, 463, 464, 465, 466, 469

T3

Other retail trade G(p) 47 T4 Trading activities G 45-47 T

* ‘p’ stands for part of a section

Description of activity category NIC 2008 Notations to

be used for generation of

tables section codes

Accommodation I(p) 55 S1 Food service activities I(p) 56 S2

Land transport H(p) 49211,49219, 4922, 4923

S3

Water transport H(p) 50 S4 Warehousing and storage H(p) 521 S5 Support activities for transportation, postal and courier activities

H(p) 522, 53 S6

Information and Communication J 58 – 63 S7 Financial service activities except insurance and pension funding

K(p) 643, 649 S8

Other financial activities K(p) 65, 6612, 6619,662, 663 S9

Real estate activities L 68 S10 Professional, Scientific and Technical activities

M 69 – 75 S11

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Administrative and support service activities N 77 – 82 S12 Education P 85 S13 Human Health and Social work Q 86 – 88 S14

Other community, social and personal service activities

E, R, S 37 – 39, 90 – 93, 941, 9491, 9499, 95, 96

S15

Other services

E, H, I, J, K, L, M, N, P, Q, R, S

37 – 39, 49211, 49219, 4922, 4923, 50, 52 – 63, 643, 649, 65, 6612, 6619, 662, 663, 68 – 82, 85 – 93, 941, 9491, 9499, 95, 96

S

All

A(p), C, E, G,H, I, J, K, L, M, N, P, Q, R, S

01632, 10 – 33, 37 – 39, 45 – 47, 49211, 49219, 4922, 4923, 50, 52 – 63, 643, 649, 65, 6612, 6619, 662, 663, 68 – 82, 85 – 93, 941, 9491, 9499, 95, 96

M+T+S

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Chapter – 2

Summary Findings

Run test (one sided) was done over Gross Value Added Per Worker (GVAPW) for testing the poolability of Central and State sample data for rural and urban. Number of districts for which poolability was rejected is given below; Table: 2.1

Number of Districts for which Poolability was rejected over GVAPW by run test using Z-statistics (one sided)

Broad Activity Category Sector

Rural Urban OAE EST OAE EST

Manufacturing 6 4 5 4 Trade 7 2 2 4 Other Services 8 2 7 2 Total Districts 33 33 34 34

OAE-Own Account Enterprises EST-Establishments

The above statement shows that run test at 1% critical error the null hypothesis is rejected in more districts for OAE compared to establishments, except for trading activities in urban areas. The null hypothesis is rejected for 4, 2 and 2 districts for establishments of Manufacturing, Trade and Other Services respectively in case rural areas and for 4, 4 and 2 in case of urban areas respectively.

Table: 2.2 Number of Districts for which Poolability was rejected over GVAPW

by Mean test of GVAPW difference using Z-statistics (one sided)

Broad Activity Category Sector

Rural Urban OAE EST OAE EST

Manufacturing 8 18 7 10 Trade 8 14 10 9 Other Services 7 10 5 8 Total Districts 33 33 34 34

OAE-Own Account Enterprises EST-Establishments

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Chapter – 3

Testing poolability and Methodology for pooling 1 Testing poolability of central and state sample 1.1 Though the central sample and state sample are drawn independently following identical sampling design with same concepts, definitions and instructions to collect the state sample data, unit level data in some cases are not properly validated. There is also expected agency bias in the two sets of data generated by different agencies. As such they cannot be merged for generating pooled estimate without testing that the samples are realized from identical distribution function. Since the parametric distribution of the sample mean is unknown one may adopt nonparametric tests such Run test, Median test, chi-square test etc to test that the samples are coming from identical distribution function. 1.2 Median test 1.2.1 In statistics, the median test is a special case of Pearson's Chi-square test. It tests the null hypothesis that the medians of the populations from which two samples are drawn, are identical. Observations in each sample are assigned to two groups, one consisting of data whose values are higher than the median value in the two groups combined, and the other consisting of data whose values are at the median or below. A Pearson's Chi-square test is then used to determine whether the observed frequencies in each group differ from expected frequencies derived from a distribution combining the two groups. Let m* be the median of the pooled sample data. Construct 2 X 2 contingency table as below and use chi-square test to test whether State sample and Central sample have identical median.

Sample type Number of sample observation Total <= m* > m*

State Sample N11 N12 N1. Central Sample N21 N22 N2. Total N.1 N.2 N..

Observed frequency of each cell Oij= Nij where i= 1 to 2, j= 1 to 2. Expected frequency of each cell Eij= (Ni. * N.j)/N.. where i= 1 to 2, j= 1 to 2.

Value = 2 / with degrees of freedom = (2-1)*(2-1) = 1

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The statistical power of this test may sometimes be improved by using a value other than the median to define the groups say quintile classes– that is, by using a value which divides the groups into more nearly equal groups than the median would. 1.3 Multinomial distribution test or test For discrete data such as status of activity, educational level and categorical variable such as land possessed etc, standard tests of equality of sample proportions of two sets of data based on multinomial distributions, relevant chi-square tests may be used after grouping the attributes/categorical variables into a suitable number of classes so that each class contains adequate number of sample observations. Construct 2 X k contingency table for k classes at the domain where two sets of data are to be pooled as below and use chi-square test if State sample and Central sample have identical distribution.

Sample type Number of sample observation Total Class - 1 Class - 2 … Class - k-1 Class - k

State Sample N11 N12 … N1k-1 N1k N1. Central Sample N21 N22 … N2k-1 N2k N2. Total N.1 N.2 … N.k-1 N.k N..

Observed frequency of each cell Oij= Nij where i= 1 to 2, j= 1 to k. Expected frequency of each cell Eij= (Ni. * N.j)/N.. where i= 1 to 2, j= 1 to k.

Value = with degrees of freedom = (2-1)*(k-1) = k-1

1.4 Wald-Wolfowitz run test 1.4.1 Suppose X and Y are independent random samples with cumulative distribution function (CDF) as Fs(x) and Fc(y). Null Hypothesis to be tested is H0: Fs(x) = Fc(x) for all x against alternative Hypothesis is H1: Fs(x) <= Fc(x) for all x and Fs(x) < Fc(x) for some x. Let x1, x2, ….., xm be iid observation from state sample with distributive function Fs and y1,y2,…..,yn be iid observation from central sample with distributive function Fc. Pool the data and order them with respect to comparable characteristic under consideration say monthly per capita expenditure (MPCE). In the pooled order sequence put “1” for X and “0” for Y. Let U be the total runs observed where 'run' is a sequence of adjacent equal symbols. For example, following sequence: 1111000111001111110000 is divided in six runs, three of them are made out of “1” and the others are made out of “0”. The number of runs U is a random variable whose distribution for large sample can be treated as normal with:

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mean :

variance :

After normalizing the variable U one may use one sided z-test for testing the Null hypothesis. In extreme case the value of U will be 2 meaning by observed characteristic of all the observation of one sample is less than the other samples. 1.4.2 One of the limitations of this test is when there is a tie between two samples in the observed value, one has to resolve ties in usual manner. However if there is large number of ties which is bound to occur specially for qualitative attributes like education level, activity status etc, this test is not recommended. This test can be well applied for a continuous variable such as MPCE which are less prone to ties. For discrete variable chi-square test is recommended. 2 Methodology for pooling 2.1 Pooling by inverse weight of the variance of the estimates 2.1.1 Aggregate estimate: For any characteristic, consider the state sample [s] in the form of two independent subsample s1 and s2 and the central sample [c] in the form of two independent subsample c1 and c2. Based on this, the respective estimates for state and central can be computed as: t s = ∑ (ts1 + ts2)/2 and t c = ∑(tc1 + tc2)/2 Pooled estimate leading to optimum combination of these two estimates is given by weighing with inverse of the variance of the estimate. Thus the pooled estimate is given by:

with

In general and and are unknown and can be estimated as

, where l stands for summing over stratum x sub-stratum level variance at the domain of pooling. Thus pooled estimate and estimate of pooled variance is given by

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2.1.2 By virtue of weighing the two estimates at the domain level at which two estimates are pooled, the pooled estimate will always lie between the central and state sample estimates. 2.1.3 Estimate of rate: Let rc and rs be the estimate of Rc and Rs ie Y/X based on central and state sample respectively with corresponding estimated mean square error mse(rc) and mse(rs). The pooled estimate and estimate of variance of pooled ratio estimate may be given by:

,

Where and are calculated using estimation procedure of NSS 66th round. Alternatively one can generate the pooled estimate of aggregate by inverse weight of estimate of variance obtained from central and state sample using formula given in para 2.1.1 for the characteristics x as well as y and obtain the pooled estimate of ratio as ratio of pooled estimate of aggregate. This will ensure consistency between pooled estimates of aggregate and the pooled estimate of ratio. 2.1.4 Method laid down in para 2.1.1 and 2.1.2 requires calculation of estimate of variance of the estimates before pooling them. Reliability of estimate of variance should be ascertained with due consideration of sample size. Besides the complex calculations of variances and covariances for each cell of the table, one needs to address the issue of non-additivity of the component estimates with the estimate of marginal total. e.g. pooled estimate of MPCE of FOOD and NON-FOOD may not add up to MPCE of TOTAL. To obviate this problem one may generate the pooled estimates of components first and then derive the estimate of total as sum of estimates of components. 2.2 Pooling by simple average of the estimates 2.2.1 Many of the States are not fully equipped with complex calculation of estimate of variance especially when cells of the table contains ratio of two characteristics which is usually presented in the NSS reports. When the State’s participation is equal matching of central samples, the simple average of two estimates may be a way of combining the estimates considering central and state samples as independent samples. The pooled estimate will always lie between the estimates based on central and state sample separately. 2.2.2 When the State’s participation is of unequal matching of central samples, the weighted average of two estimates with weights being matching ratio of central and state sample may be a better way of combining the estimates considering central and state samples as independent samples. For any characteristic, consider the state sample [s] in the form of two independent sub-sample s1 and s2 and the central sample[c] in the form of two independent subsample c1 and c2. Let matching ratio of state and central sample be m : n. Based on this, the respective estimates for state and central can be computed as:

and

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Pooled estimate of these two estimates is given by weighing with matching participation rate m:n. Thus the pooled estimate is given by:

with

In general and can be estimated as ,

and thus

The pooled estimate will always lie between the estimates based on central and state sample separately. 2.3 Summing up: For those characteristics which are known to be distributed as Normal, poolability of the two sets of central and state data may be tested by standard parametric tests such as Z-test. For those characteristics for which transformation makes them Normal, such methodology may be adopted. In most of the situations where the distribution is non-normal and unknown, the two sets of data may be tested through various non-parametric tests such as those laid down in para 1 of above. For discrete data, Standard tests of equality of proportions based on binomial distribution may be used and for multinomial distributions relevant chi-square tests may be used.

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CHAPTER-4 Poolability Test Results

Table 4.1 : District wise results of run test of GVAPW for pooled sample

Sector: RURAL Ent. type: OAE

Z0.01 = - 2.33 [one sided test] reject if z-value < Z0.01

District code District Mfg Trade Service

Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar -3.86 N -1.72 Y -4.30 N 2 Dhule -1.64 Y -2.03 Y -1.70 Y 3 Jalgaon -0.27 Y -0.95 Y -1.35 Y 4 Buldhana 0.41 Y -1.58 Y 0.93 Y 5 Akola -1.81 Y -2.94 N -1.88 Y 6 Washim 0.20 Y -1.26 Y -2.09 Y 7 Amravati 0.92 Y 1.58 Y -0.85 Y 8 Wardha -0.54 Y -3.37 N 0.06 Y 9 Nagpur 0.00 Y -3.20 N -0.09 Y

10 Bhandara -1.79 Y -2.52 N -2.88 N 11 Gondiya 0.78 Y -0.99 Y -0.68 Y 12 Gadchiroli -1.12 Y -1.15 Y 0.19 Y 13 Chandrapur -2.69 N -1.46 Y -2.41 N 14 Yavatmal -1.28 Y 0.81 Y -1.10 Y 15 Nanded -3.09 N -1.62 Y -1.02 Y 16 Hingoli -1.17 Y -2.92 N 0.23 Y 17 Parbhani -1.26 Y -0.63 Y -0.69 Y 18 Jalna -0.16 Y -1.42 Y -0.25 Y 19 Aurangabad -1.17 Y 0.51 Y 0.59 Y 20 Nashik 1.78 Y -0.28 Y -1.56 Y 21 Thane -2.14 Y -0.52 Y -2.20 Y 24 Raigad -1.57 Y -0.18 Y 2.07 Y 25 Pune -1.28 Y -1.43 Y -2.46 N 26 Ahmednagar -0.52 Y -1.22 Y 0.46 Y 27 Bid 0.44 Y -0.63 Y 0.31 Y 28 Latur -5.14 N -3.94 N -3.58 N 29 Osmanabad -2.08 Y -3.88 N -3.74 N 30 Solapur -1.83 Y 0.38 Y -0.18 Y 31 Satara -1.31 Y -0.41 Y -0.74 Y 32 Ratnagiri -1.50 Y 0.31 Y -3.80 N 33 Sindhudurg -2.53 N 0.29 Y -1.42 Y 34 Kolhapur -2.67 N -1.71 Y -0.56 Y 35 Sangli -2.22 Y -0.70 Y -3.45 N

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Sector: RURAL Ent. type: Est Z0.01 = - 2.33 [one sided test] reject if z-value < Z0.01


Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar -2.70 N 1.32 Y -0.57 Y 2 Dhule 1.41 Y 0.53 Y 1.05 Y 3 Jalgaon -0.53 Y -0.30 Y -2.15 Y 4 Buldhana 1.33 Y -0.04 Y -0.06 Y

5* Akola* -0.13 Y 6 Washim 1.22 Y -2.54 N 0.97 Y 7 Amravati 0.00 Y 0.00 Y -0.02 Y 8 Wardha 1.33 Y -2.19 Y -0.58 Y 9 Nagpur 1.57 Y -0.13 Y -0.93 Y

10 Bhandara -3.31 N 0.33 Y -0.36 Y 11 Gondiya 0.74 Y 0.78 Y -0.80 Y 12 Gadchiroli 0.24 Y -0.33 Y 0.58 Y 13 Chandrapur -0.47 Y 0.74 Y 0.71 Y 14 Yavatmal 0.83 Y 0.30 Y -0.63 Y 15 Nanded -2.22 Y -2.43 N -1.61 Y 16 Hingoli -0.62 Y 0.25 Y 1.65 Y 17 Parbhani -1.34 Y -0.62 Y -1.18 Y 18 Jalna -2.49 N -1.24 Y -1.49 Y 19 Aurangabad -0.91 Y -1.24 Y -1.54 Y 20 Nashik 0.24 Y 1.17 Y 0.46 Y 21 Thane -1.61 Y 0.75 Y -0.59 Y 24 Raigad 0.05 Y -0.67 Y -0.62 Y 25 Pune -0.71 Y -0.27 Y 0.14 Y 26 Ahmednagar 1.19 Y -1.75 Y 1.07 Y

27* Bid* -2.24 Y 0.74 Y 28 Latur 0.63 Y 0.40 Y 0.73 Y 29 Osmanabad -1.76 Y 0.35 Y -0.13 Y 30 Solapur -2.44 N -0.44 Y -0.36 Y 31 Satara 0.99 Y 0.51 Y -2.81 N 32 Ratnagiri 0.30 Y -0.50 Y -0.09 Y 33 Sindhudurg 0.48 Y -0.40 Y -3.04 N 34 Kolhapur -0.60 Y 0.19 Y -1.14 Y 35 Sangli -0.45 Y -1.75 Y -0.55 Y

*Note: In case of Akola district, Mfg and Trading establishment for State Sample is null. For Bid district, Trading establishment for State Sample is null.

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Sector: URBAN Ent. type: OAE



Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar 0.19 Y -2.30 Y -2.10 Y 2 Dhule -1.12 Y -0.62 Y -0.69 Y 3 Jalgaon -0.50 Y -0.94 Y 0.62 Y 4 Buldhana -2.86 N -2.91 N -1.93 Y 5 Akola -0.49 Y -1.91 Y -1.55 Y 6 Washim 0.19 Y -0.78 Y -0.35 Y 7 Amravati 2.02 Y 1.22 Y -0.99 Y 8 Wardha -0.87 Y 0.10 Y -2.07 Y 9 Nagpur -3.42 N -2.25 Y -8.51 N

10 Bhandara -0.56 Y -1.76 Y -3.43 N 11 Gondiya -1.03 Y 0.94 Y 1.04 Y 12 Gadchiroli -1.68 Y -0.09 Y -0.55 Y 13 Chandrapur -1.35 Y -1.73 Y -1.22 Y 14 Yavatmal -1.84 Y 0.72 Y -0.68 Y 15 Nanded 1.11 Y -1.29 Y -3.62 N 16 Hingoli 0.52 Y -0.69 Y -0.70 Y 17 Parbhani 0.78 Y -2.22 Y -1.26 Y 18 Jalna 1.45 Y -0.30 Y -1.79 Y 19 Aurangabad -0.17 Y -0.87 Y -3.51 N 20 Nashik -0.45 Y 1.04 Y 0.39 Y 21 Thane -1.99 Y -1.34 Y -5.55 N 22 Mumbai -5.57 N -6.63 N -7.78 N 24 Raigad -1.51 Y 0.01 Y 1.26 Y 25 Pune -2.65 N 0.19 Y -1.92 Y 26 Ahmednagar -1.09 Y 0.73 Y -2.94 N 27 Bid 0.31 Y -1.76 Y 1.58 Y 28 Latur -0.95 Y -1.87 Y -1.66 Y 29 Osmanabad -0.44 Y 0.26 Y -0.23 Y 30 Solapur -4.13 N -0.35 Y -0.99 Y 31 Satara -0.33 Y 1.82 Y -0.17 Y 32 Ratnagiri -0.28 Y 2.65 Y -0.19 Y 33 Sindhudurg -0.30 Y -1.29 Y -1.53 Y 34 Kolhapur 0.62 Y -0.39 Y -2.32 Y 35 Sangli 0.48 Y -0.53 Y 0.50 Y

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Table 4.4: District wise results of run test of GVAPW for pooled sample

Sector: URBAN Ent. type: Est.



Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar -3.75 N -0.84 Y -1.65 Y 2 Dhule -2.54 N -2.32 Y -0.63 Y 3 Jalgaon 1.65 Y -0.74 Y -0.37 Y 4 Buldhana 0.80 Y -2.71 N -0.20 Y 5 Akola -1.31 Y -0.77 Y -1.71 Y 6 Washim 0.42 Y -0.89 Y 1.28 Y 7 Amravati 2.20 Y -1.51 Y -0.18 Y 8 Wardha 0.94 Y -0.14 Y -1.55 Y 9 Nagpur -0.35 Y -0.12 Y -0.75 Y

10 Bhandara -1.76 Y -0.77 Y -0.88 Y 11 Gondiya 0.02 Y -0.07 Y 0.74 Y 12 Gadchiroli -1.70 Y -1.17 Y -0.12 Y 13 Chandrapur -0.42 Y 0.35 Y 0.77 Y 14 Yavatmal -3.83 N 0.52 Y -1.64 Y 15 Nanded 0.10 Y -0.89 Y -2.31 Y 16 Hingoli -0.96 Y -2.65 N -0.51 Y 17 Parbhani -0.52 Y -1.56 Y -0.72 Y 18 Jalna -2.70 N 0.71 Y -2.57 N 19 Aurangabad -1.79 Y -4.28 N 0.49 Y 20 Nashik -1.80 Y -1.12 Y -2.40 N 21 Thane 0.34 Y -1.00 Y -1.94 Y 22 Mumbai -2.21 Y -1.47 Y -0.55 Y 24 Raigad -1.47 Y -1.07 Y 0.10 Y 25 Pune 1.89 Y 1.14 Y -0.98 Y 26 Ahmednagar -0.76 Y -0.49 Y -0.56 Y 27 Bid 0.30 Y 0.74 Y 0.03 Y 28 Latur -1.43 Y -2.92 N 0.01 Y 29 Osmanabad 1.95 Y -0.75 Y -0.40 Y 30 Solapur -1.07 Y -0.31 Y -1.72 Y 31 Satara 0.43 Y -0.37 Y 0.14 Y 32 Ratnagiri -1.83 Y -0.75 Y 0.78 Y 33 Sindhudurg 0.28 Y -1.98 Y 2.03 Y 34 Kolhapur 0.73 Y -2.03 Y -2.03 Y 35 Sangli 1.15 Y -2.01 Y 1.49 Y

Page | 17

Table 4.5: District wise results of Mean test of GVAPW difference for pooled sample

Sector: RURAL Ent type: OAE

Z0.005= 2.575 [one sided test] reject if absolute z-value > Z0.005

District code District Name Mfg Trade Other Services

Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar 3.21 N 10.53 N 7.73 N 2 Dhule 3.11 N 3.19 N 1.20 Y 3 Jalgaon 1.07 Y 1.15 Y 1.86 Y 4 Buldhana 3.17 N 8.83 N 0.34 Y 5 Akola 1.73 Y 0.46 Y 0.78 Y 6 Washim 0.54 Y 0.68 Y 0.57 Y 7 Amravati 0.11 Y 2.14 Y 0.59 Y 8 Wardha 1.22 Y 2.09 Y 0.10 Y 9 Nagpur 1.67 Y 4.62 N 0.74 Y

10 Bhandara 3.05 N 0.22 Y 3.30 N 11 Gondiya 2.31 Y 2.87 N 1.32 Y 12 Gadchiroli 2.83 N 2.08 Y 0.02 Y 13 Chandrapur 1.70 Y 1.14 Y 1.25 Y 14 Yavatmal 0.65 Y 2.12 Y 4.02 N 15 Nanded 2.62 N 0.49 Y 1.41 Y 16 Hingoli 0.34 Y 7.25 N 4.95 N 17 Parbhani 0.82 Y 2.02 Y 0.38 Y 18 Jalna 2.89 N 0.26 Y 2.02 Y 19 Aurangabad 0.60 Y 1.36 Y 1.25 Y 20 Nashik 0.09 Y 1.76 Y 0.32 Y 21 Thane 0.79 Y 1.12 Y 1.91 Y 24 Raigad 0.61 Y 1.82 Y 2.57 Y 25 Pune 0.37 Y 0.94 Y 2.65 N 26 Ahmednagar 2.24 Y 0.94 Y 1.48 Y 27 Bid 1.14 Y 0.09 Y 0.42 Y 28 Latur 5.14 N 1.74 Y 3.74 N 29 Osmanabad 1.17 Y 4.05 N 2.06 Y 30 Solapur 0.04 Y 0.58 Y 0.70 Y 31 Satara 0.66 Y 1.25 Y 0.40 Y 32 Ratnagiri 1.28 Y 0.50 Y 0.14 Y 33 Sindhudurg 0.63 Y 1.14 Y 0.91 Y 34 Kolhapur 1.93 Y 5.49 N 1.07 Y 35 Sangli 1.30 Y 1.32 Y 5.91 N

Page | 18


Sector: RURAL Ent type: Est.



Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar 45.56 N 5.57 N 0.46 Y 2 Dhule 6.60 N 3.62 N 1.54 Y 3 Jalgaon 1.26 Y 3.14 N 5.32 N 4 Buldhana 1.51 Y 1.17 Y 3.91 N 5 Akola 0.00 N 0.00 N 2.05 Y 6 Washim 0.47 Y 1.04 Y 0.76 Y 7 Amravati 2.30 Y 5.59 N 1.19 Y 8 Wardha 0.80 Y 3.31 N 0.19 Y 9 Nagpur 0.19 Y 2.52 Y 4.34 N

10 Bhandara 58.32 N 8.77 N 1.08 Y 11 Gondiya 4.36 N 5.59 N 0.89 Y 12 Gadchiroli 0.17 Y 3.26 N 0.23 Y 13 Chandrapur 3.67 N 0.74 Y 1.02 Y 14 Yavatmal 3.00 N 3.00 N 0.12 Y 15 Nanded 3.88 N 0.62 Y 9.12 N 16 Hingoli 4.62 N 0.32 Y 0.45 Y 17 Parbhani 4.40 N 6.06 N 0.73 Y 18 Jalna 6.94 N 1.01 Y 1.39 Y 19 Aurangabad 2.41 Y 1.99 Y 77.55 N 20 Nashik 1.91 Y 0.60 Y 8.22 N 21 Thane 3.65 N 0.06 Y 0.14 Y 24 Raigad 2.96 N 1.57 Y 0.82 Y 25 Pune 0.88 Y 0.24 Y 0.61 Y 26 Ahmednagar 0.20 Y 2.24 Y 2.11 Y 27 Bid 12.01 N 27.19 N 0.25 Y 28 Latur 0.00 N 48.26 N 0.30 Y 29 Osmanabad 6.28 N 5.88 N 0.97 Y 30 Solapur 0.18 Y 0.36 Y 4.82 N 31 Satara 1.04 Y 1.75 Y 6.85 N 32 Ratnagiri 1.61 Y 2.37 Y 1.02 Y 33 Sindhudurg 4.49 N 0.97 Y 2.88 N 34 Kolhapur 1.59 Y 1.86 Y 4.87 N 35 Sangli 4.31 N 1.14 Y 2.08 Y

Page | 19


Sector: Urban Ent type: OAE



Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar 2.44 Y 4.23 N 5.16 N 2 Dhule 2.79 N 0.25 Y 1.58 Y 3 Jalgaon 0.15 Y 2.62 N 0.21 Y 4 Buldhana 2.19 Y 4.72 N 4.34 N 5 Akola 2.90 N 3.87 N 0.80 Y 6 Washim 0.74 Y 3.81 N 0.02 Y 7 Amravati 1.10 Y 0.49 Y 0.16 Y 8 Wardha 4.78 N 1.96 Y 0.15 Y 9 Nagpur 0.38 Y 2.26 Y 0.20 Y

10 Bhandara 5.07 N 2.03 Y 0.79 Y 11 Gondiya 4.24 N 1.83 Y 1.65 Y 12 Gadchiroli 0.71 Y 5.74 N 2.96 N 13 Chandrapur 1.51 Y 4.07 N 0.14 Y 14 Yavatmal 0.57 Y 1.43 Y 1.25 Y 15 Nanded 0.57 Y 0.85 Y 0.77 Y 16 Hingoli 0.16 Y 1.60 Y 0.92 Y 17 Parbhani 1.31 Y 0.86 Y 0.24 Y 18 Jalna 0.12 Y 1.65 Y 1.32 Y 19 Aurangabad 0.90 Y 0.86 Y 0.98 Y 20 Nashik 0.79 Y 1.80 Y 0.96 Y 21 Thane 0.32 Y 1.38 Y 0.58 Y 22 Mumbai 3.94 N 1.76 Y 4.15 N 24 Raigad 1.58 Y 1.01 Y 2.14 Y 25 Pune 0.54 Y 1.28 Y 1.77 Y 26 Ahmednagar 0.72 Y 3.63 N 2.21 Y 27 Bid 1.44 Y 1.70 Y 0.48 Y 28 Latur 0.51 Y 0.68 Y 2.30 Y 29 Osmanabad 1.42 Y 0.57 Y 0.01 Y 30 Solapur 3.92 N 0.48 Y 0.69 Y 31 Satara 0.36 Y 2.10 Y 4.20 N 32 Ratnagiri 0.96 Y 4.86 N 0.69 Y 33 Sindhudurg 1.69 Y 1.67 Y 1.00 Y 34 Kolhapur 2.02 Y 0.89 Y 0.09 Y 35 Sangli 0.03 Y 3.42 N 0.72 Y

Page | 20


Sector: Urban Ent type: Est.



Z-value Accept Z-value Accept Z-value Accept 1 Nandurbar 6.78 N 1.06 Y 0.56 Y 2 Dhule 2.35 Y 0.48 Y 0.37 Y 3 Jalgaon 3.21 N 1.81 Y 10.73 N 4 Buldhana 0.14 Y 0.15 Y 0.33 Y 5 Akola 1.31 Y 15.61 N 3.11 N 6 Washim 1.08 Y 18.15 N 0.36 Y 7 Amravati 1.94 Y 2.24 Y 0.88 Y 8 Wardha 1.84 Y 0.13 Y 1.04 Y 9 Nagpur 1.80 Y 1.54 Y 1.83 Y

10 Bhandara 1.16 Y 0.16 Y 0.85 Y 11 Gondiya 6.04 N 10.62 N 1.18 Y 12 Gadchiroli 0.16 Y 0.48 Y 1.99 Y 13 Chandrapur 1.65 Y 3.94 N 3.94 N 14 Yavatmal 0.60 Y 0.13 Y 1.50 Y 15 Nanded 1.95 Y 0.13 Y 4.21 N 16 Hingoli 2.14 Y 11.62 N 2.17 Y 17 Parbhani 1.04 Y 0.92 Y 2.67 N 18 Jalna 0.04 Y 1.23 Y 0.33 Y 19 Aurangabad 3.41 N 1.99 Y 4.39 N 20 Nashik 0.61 Y 1.56 Y 0.03 Y 21 Thane 3.06 N 1.16 Y 1.14 Y 22 Mumbai 2.64 N 0.28 Y 0.11 Y 24 Raigad 0.89 Y 0.89 Y 0.73 Y 25 Pune 1.96 Y 1.20 Y 1.18 Y 26 Ahmednagar 1.57 Y 0.03 Y 0.11 Y 27 Bid 4.01 N 0.94 Y 0.64 Y 28 Latur 1.19 Y 3.22 N 2.28 Y 29 Osmanabad 0.03 Y 1.51 Y 1.82 Y 30 Solapur 2.80 N 4.34 N 2.07 Y 31 Satara 3.67 N 0.82 Y 2.82 N 32 Ratnagiri 2.99 N 0.97 Y 0.04 Y 33 Sindhudurg 0.78 Y 3.31 N 0.65 Y 34 Kolhapur 0.48 Y 1.76 Y 1.67 Y 35 Sangli 0.97 Y 13.89 N 3.38 N

Page | 21

CHAPTER – 5

POOLED RESULTS

Table 5.1a: District wise estimated no of enterprises and their RSEs for central, state and pooled sample

Sector: RURAL Activity: All Pooling method: MATCHING RATIO

District code District

Estimated enterprises RSE of estimated enterprises Sample enterprises Central State Pooled Central State Pooled Central State Pooled

1 Nandurbar 30047 23616 26832 11.56 48.21 22.18 228 165 393 2 Dhule 73407 23306 48357 46.10 14.96 35.18 187 186 373 3 Jalgaon 75271 52652 63961 10.83 25.98 12.45 196 141 337 4 Buldhana 64346 47101 55723 22.05 14.72 14.17 208 186 394 5 Akola 23354 33444 28399 25.22 26.67 18.82 170 192 362 6 Washim 33011 22634 27823 29.70 15.42 18.70 246 228 474 7 Amravati 48821 50724 49772 25.63 11.33 13.83 227 191 418 8 Wardha 53992 18177 36085 22.09 36.40 18.90 207 176 383 9 Nagpur 52639 20534 36586 51.00 30.13 37.65 192 190 382

10 Bhandara 37855 28781 33318 29.62 31.04 21.51 198 210 408 11 Gondiya 42229 29477 35853 32.81 19.83 20.97 236 229 465 12 Gadchiroli 21952 30417 26185 22.33 14.06 12.42 195 216 411 13 Chandrapur 27887 32810 30349 32.51 38.79 25.74 198 183 381 14 Yavatmal 70985 81573 76279 14.00 24.03 14.41 219 219 438 15 Nanded 68325 72777 70551 18.47 21.99 14.44 232 262 494 16 Hingoli 28033 23443 25738 29.16 23.20 19.07 220 175 395 17 Parbhani 27200 25155 26177 18.51 28.60 16.77 194 205 399

Page | 22


Estimated enterprises RSE of estimated enterprises Sample enterprises Central State Pooled Central State Pooled Central State Pooled

18 Jalna 34525 36276 35400 45.52 20.29 24.51 165 181 346 19 Aurangabad 60024 94188 77106 16.45 14.09 10.73 216 186 402 20 Nashik 83782 84013 83897 11.27 29.43 15.77 180 209 389 21 Thane 82570 70160 76365 33.28 54.65 30.89 271 243 514 24 Raigad 54609 72566 63588 32.13 30.69 22.29 263 303 566 25 Pune 110088 90193 100140 35.97 20.67 21.85 347 332 679 26 Ahmednagar 120052 62285 91168 17.74 23.91 14.25 231 214 445 27 Bid 62601 65249 63925 21.90 32.13 19.59 257 176 433 28 Latur 89825 39153 64489 11.72 11.19 8.84 209 204 413 29 Osmanabad 55024 56571 55797 16.04 45.29 24.28 229 184 413 30 Solapur 51212 43073 47143 12.72 53.08 25.21 260 208 468 31 Satara 61212 56809 59011 20.09 37.92 21.02 239 200 439 32 Ratnagiri 38387 30530 34458 25.67 24.05 17.83 240 221 461 33 Sindhudurg 33864 22782 28323 15.82 15.83 11.40 231 201 432 34 Kolhapur 123280 73222 98251 45.43 36.00 31.50 226 217 443 35 Sangli 85526 51750 68638 46.03 32.22 31.14 235 206 441

Maharashtra 1925935 1565443 1745689 5.44 5.36 3.84 7352 6839 14191

Page | 23

Table 5.1b: District wise estimated no of enterprises and their RSEs for central, state and pooled sample

Sector: URBAN Activity: All Pooling method: MATCHING RATIO


Estimated enterprises RSE of estimated enterprises Sample enterprises

Central State Pooled Central State Pooled Central State Pooled 1 Nandurbar 14773 13459 13985 24.58 18.61 14.95 147 305 452 2 Dhule 28122 20274 23413 36.47 26.90 22.41 182 182 364 3 Jalgaon 137146 67719 95490 42.14 15.01 25.04 167 248 415 4 Buldhana 30855 35632 33721 33.01 25.87 20.37 177 245 422 5 Akola 50625 43444 46316 23.08 25.63 17.60 176 229 405 6 Washim 7413 15966 12545 35.47 29.66 24.15 130 246 376 7 Amravati 65387 60279 62322 12.80 14.19 9.83 180 237 417 8 Wardha 27298 23001 24720 44.39 36.14 28.13 159 255 414 9 Nagpur 359728 216398 273730 22.26 10.91 12.79 1238 1744 2982

10 Bhandara 12915 7279 9533 18.72 34.08 18.62 185 225 410 11 Gondiya 10725 21523 17204 16.22 52.00 39.24 182 281 463 12 Gadchiroli 2947 4754 4031 26.76 22.89 17.99 157 228 385 13 Chandrapur 61431 54284 57143 51.57 25.21 26.42 149 261 410 14 Yavatmal 25127 34267 30611 12.11 26.98 18.55 186 288 474 15 Nanded 57429 49001 52372 39.79 16.92 19.87 184 259 443 16 Hingoli 14042 8620 10789 22.91 24.17 16.63 194 211 405 17 Parbhani 48214 28706 36509 16.18 15.65 11.29 195 243 438 18 Jalna 24402 30854 28273 31.55 24.10 19.17 215 262 477 19 Aurangabad 104790 54374 74540 33.55 8.87 19.26 203 208 411 20 Nashik 167740 247497 215594 22.92 14.87 12.48 1047 1774 2821 21 Thane 541012 557316 550794 23.30 15.39 13.08 2731 4601 7332

Page | 24


Estimated enterprises RSE of estimated enterprises Sample enterprises

Central State Pooled Central State Pooled Central State Pooled 22 Mumbai 629268 727887 688439 22.50 11.67 11.07 3039 4890 7929 24 Raigad 66165 43951 52837 32.87 26.76 21.20 232 276 508 25 Pune 298206 553561 451419 20.15 12.18 10.42 2197 3292 5489 26 Ahmednagar 44880 75416 63202 36.27 32.61 25.52 177 378 555 27 Bid 26994 23604 24960 17.70 27.93 17.60 194 247 441 28 Latur 37328 41221 39664 18.42 18.98 13.72 208 244 452 29 Osmanabad 21113 17028 18662 16.10 34.95 20.47 210 248 458 30 Solapur 76194 135843 111983 25.80 22.02 17.50 186 393 579 31 Satara 48188 26437 35137 30.44 17.80 18.53 212 276 488 32 Ratnagiri 17286 13528 15031 28.42 15.78 15.61 274 348 622 33 Sindhudurg 5919 6239 6111 20.30 32.15 21.21 190 257 447 34 Kolhapur 124038 69104 91078 26.89 31.88 20.62 257 377 634 35 Sangli 42843 42522 42650 28.60 38.10 25.52 180 242 422

Maharashtra 3230543 3370985 3314808 6.81 4.23 3.70 15740 24000 39740

Page | 25

Table 5.2a: District wise estimated no of enterprises for central, state and pooled sample by broad activity category

Sector: RURAL Pooling method: MATCHING RATIO


Manufacturing Trade Other Services Central State Pooled Central State Pooled Central State Pooled

1 Nandurbar 10687 4936 7812 11986 11924 11955 7374 6756 7065 2 Dhule 20438 7057 13747 31052 7512 19282 21918 8737 15328 3 Jalgaon 22323 23012 22668 29673 16325 22999 23275 13315 18295 4 Buldhana 17377 13810 15594 25789 12929 19359 21179 20363 20771 5 Akola 8764 8597 8680 5794 13213 9503 8796 11635 10215 6 Washim 10793 6486 8639 11445 6743 9094 10774 9405 10089 7 Amravati 11904 12779 12341 20181 19338 19759 16736 18608 17672 8 Wardha 13392 4922 9157 19709 7379 13544 20890 5877 13384 9 Nagpur 16282 4540 10411 19856 8841 14348 16500 7152 11826

10 Bhandara 15839 10504 13172 11315 10073 10694 10701 8205 9453 11 Gondiya 23970 13889 18930 8469 8979 8724 9790 6609 8199 12 Gadchiroli 5153 5485 5319 8461 12602 10531 8337 12331 10334 13 Chandrapur 7834 9463 8648 9445 12847 11146 10608 10500 10554 14 Yavatmal 19724 31902 25813 24767 27769 26268 26494 21902 24198 15 Nanded 26577 17082 21830 21721 32675 27198 20026 23020 21523 16 Hingoli 8754 7126 7940 5862 8064 6963 13417 8253 10835 17 Parbhani 9899 9913 9906 9220 7380 8300 8081 7861 7971 18 Jalna 12613 13185 12899 13911 13253 13582 8001 9838 8919 19 Aurangabad 19312 25847 22580 23770 40310 32040 16943 28031 22487 20 Nashik 26971 20752 23861 34936 34292 34614 21875 28969 25422 21 Thane 27990 23030 25510 26789 15268 21029 27791 31861 29826

Page | 26



24 Raigad 17272 22818 20045 16874 21607 19241 20463 28141 24302 25 Pune 29079 26416 27747 37247 31463 34355 43763 32314 38039 26 Ahmednagar 38511 14100 26305 31867 24462 28164 49674 23724 36699 27 Bid 23825 18327 21076 21462 21043 21252 17314 25879 21596 28 Latur 30407 13946 22177 23479 10623 17051 35938 14585 25262 29 Osmanabad 16198 36412 26305 18496 8685 13590 20331 11473 15902 30 Solapur 16866 12369 14617 14289 15360 14825 20057 15344 17701 31 Satara 17507 15134 16321 20419 24621 22520 23287 17054 20170 32 Ratnagiri 9377 9370 9374 9881 8395 9138 19129 12765 15947 33 Sindhudurg 11279 8668 9974 7852 6591 7222 14733 7523 11128 34 Kolhapur 58146 27551 42848 29488 20649 25068 35646 25023 30334 35 Sangli 24224 22097 23160 23785 14937 19361 37517 14716 26117

Maharashtra 629288 501525 565406 629289 536151 582720 667358 527767 597562

Page | 27

Table 5.2b: District wise estimated no of enterprises for central, state and pooled sample by broad activity category

Sector: URBAN Pooling method: MATCHING RATIO





Page | 28



22 Mumbai 154560 197661 180421 248414 269039 260789 226294 261186 247229 24 Raigad 10057 8442 9088 34674 20669 26271 21434 14840 17478 25 Pune 76575 131894 109766 104728 182659 151487 116903 239008 190166 26 Ahmednagar 7854 13674 11346 22858 31123 27817 14168 30619 24039 27 Bid 4224 6649 5679 12822 9151 10619 9948 7804 8662 28 Latur 7698 5414 6328 13612 22081 18693 16019 13726 14643 29 Osmanabad 4168 3249 3617 10538 7953 8987 6407 5826 6058 30 Solapur 15318 76589 52081 33803 35210 34647 27073 24044 25256 31 Satara 7496 5627 6375 21392 9666 14356 19300 11145 14407 32 Ratnagiri 3319 2846 3035 7779 5406 6355 6187 5276 5640 33 Sindhudurg 814 1560 1262 2308 2584 2474 2798 2095 2376 34 Kolhapur 24362 32346 29152 55799 19514 34028 43878 17244 27898 35 Sangli 9119 7027 7864 21553 20382 20850 12171 15113 13936

Maharashtra 755955 927803 859064 1239499 1192773 1211463 1235090 1250409 1244281

Page | 29

Table 5.3a: District wise RSEs of estimate of enterprises for central, state and pooled sample by broad activity category

Sector- RURAL Pooling method: MATCHING RATIO



1 Nandurbar 19.94 43.77 19.42 8.02 54.56 27.50 5.17 40.25 19.43 2 Dhule 43.85 17.95 32.92 48.72 13.94 39.32 44.47 13.40 32.02 3 Jalgaon 9.19 38.47 20.04 7.80 16.17 7.63 16.26 16.42 11.94 4 Buldhana 14.90 17.00 11.21 8.88 8.58 6.57 43.96 17.06 23.92 5 Akola 35.63 6.79 18.30 8.88 45.08 31.46 25.61 20.45 16.04 6 Washim 38.43 18.30 24.97 30.64 6.00 19.41 19.96 20.19 14.22 7 Amravati 24.53 15.77 14.37 19.33 4.96 10.17 34.00 14.90 17.91 8 Wardha 14.42 33.93 13.94 12.88 41.45 14.67 35.70 32.12 28.74 9 Nagpur 58.97 26.57 46.47 63.09 19.88 44.08 28.58 45.04 24.15

10 Bhandara 33.38 37.59 25.05 25.88 27.33 18.79 28.02 27.21 19.77 11 Gondiya 39.61 29.19 27.27 24.89 16.90 14.89 23.01 4.14 13.84 12 Gadchiroli 34.98 13.40 18.30 12.24 14.87 10.17 24.75 13.53 12.84 13 Chandrapur 32.72 39.14 26.04 28.55 37.74 24.89 35.89 39.76 26.77 14 Yavatmal 7.62 34.65 21.61 11.03 20.38 11.96 21.53 13.19 13.21 15 Nanded 10.33 11.20 7.66 18.06 31.52 20.26 29.72 16.47 16.39 16 Hingoli 19.72 20.51 14.24 19.09 12.19 10.70 39.71 36.28 28.20 17 Parbhani 8.46 41.42 21.15 36.63 1.86 20.36 10.13 37.53 19.21 18 Jalna 41.63 39.11 28.53 47.67 8.70 24.78 47.92 10.68 22.29 19 Aurangabad 25.05 28.49 19.51 17.77 10.87 9.50 4.78 5.44 3.84 20 Nashik 7.14 20.32 9.71 6.69 37.87 19.06 23.67 25.97 17.96 21 Thane 44.14 58.04 35.68 26.89 49.21 24.75 28.50 54.81 32.15 24 Raigad 47.22 37.08 29.31 29.13 19.29 16.75 21.87 34.26 21.87 25 Pune 37.18 28.75 23.81 28.58 19.04 17.78 41.44 15.66 24.75 26 Ahmednagar 21.67 19.30 16.68 27.70 38.53 22.93 8.31 11.57 6.75 27 Bid 29.57 36.70 23.11 18.86 34.26 19.45 15.12 27.15 17.36 28 Latur 13.54 16.08 10.57 14.16 17.86 11.22 8.59 1.66 6.13 29 Osmanabad 7.64 64.68 44.83 25.12 17.48 17.98 14.48 4.78 9.42 30 Solapur 10.76 36.04 16.46 12.62 45.77 24.48 14.44 74.13 33.15 31 Satara 24.32 32.01 19.76 18.49 42.69 24.80 18.31 36.28 18.63 32 Ratnagiri 40.32 14.39 21.41 32.59 23.22 20.60 14.91 31.69 15.52 33 Sindhudurg 8.16 23.79 11.32 14.42 11.00 9.31 22.44 10.88 15.30 34 Kolhapur 69.16 34.17 48.19 21.21 50.01 24.08 26.78 26.46 19.15 35 Sangli 45.07 14.02 24.50 41.04 38.97 29.35 49.81 52.70 38.73

Maharashtra 8.21 7.61 5.68 5.11 5.98 3.90 5.66 5.85 4.08

Page | 30

Table 5.3b: District wise RSEs of estimate of enterprises for central, state and pooled sample by broad activity category

Sector- URBAN Pooling method: MATCHING RATIO




10 Bhandara 28.26 25.60 19.16 3.21 37.61 16.31 31.09 35.97 23.63 11 Gondiya 19.66 33.58 20.78 12.97 56.66 45.22 15.64 54.13 43.66 12 Gadchiroli 19.46 17.68 13.31 17.57 24.99 19.32 41.51 21.72 20.00 13 Chandrapur 24.09 22.71 16.55 68.84 27.33 34.41 45.15 24.21 23.21 14 Yavatmal 25.53 34.24 24.76 8.90 17.34 12.30 7.45 32.65 21.20 15 Nanded 9.55 21.17 14.03 50.04 21.84 23.77 44.86 5.61 24.48 16 Hingoli 18.98 7.28 10.08 24.53 32.02 19.89 23.60 27.70 18.06 17 Parbhani 23.60 22.31 16.22 18.96 19.22 13.67 8.50 7.69 5.74 18 Jalna 5.27 36.21 22.12 4.52 29.04 22.19 54.22 12.96 24.77 19 Aurangabad 21.90 10.60 12.48 38.86 3.94 18.98 33.48 16.16 22.97 20 Nashik 10.24 14.61 10.80 33.81 15.05 14.94 17.20 14.83 11.53 21 Thane 29.96 26.08 19.88 17.93 7.42 8.98 21.92 10.05 10.51 22 Mumbai 17.54 11.15 9.48 32.94 11.97 14.57 14.43 11.76 9.14 24 Raigad 5.56 15.82 9.15 43.65 40.24 29.86 28.27 14.20 15.64 25 Pune 31.08 10.23 11.38 17.24 12.26 10.07 15.60 13.20 10.67 26 Ahmednagar 24.85 6.56 8.36 51.97 39.73 31.67 17.28 37.00 28.57 27 Bid 5.60 25.27 17.83 25.74 26.38 18.45 12.47 32.02 18.23 28 Latur 28.38 38.75 24.22 13.30 17.09 12.72 17.99 14.22 11.22 29 Osmanabad 5.34 23.80 13.06 18.16 35.90 20.88 19.71 39.87 24.47 30 Solapur 30.84 24.43 21.86 21.44 28.76 19.43 28.39 4.49 12.44 31 Satara 2.16 10.04 5.41 45.58 20.19 28.36 24.64 19.65 16.05 32 Ratnagiri 6.33 15.93 9.38 37.27 15.94 19.98 29.14 15.54 15.48 33 Sindhudurg 38.72 43.63 33.88 16.90 31.79 20.90 17.74 24.03 15.21 34 Kolhapur 21.91 49.52 33.77 26.05 17.54 18.12 30.72 15.00 20.11 35 Sangli 29.23 35.81 23.50 35.60 43.58 29.50 15.74 31.78 21.40

Maharashtra 9.09 7.14 5.63 8.69 4.32 4.38 6.21 4.37 3.61

Page | 31

Table 5.4a: District wise estimated no of workers and their RSEs for central, state and pooled sample

Sector: RURAL Activity: All Pooling method: MATCHING RATIO


Estimated Workers RSE of estimated workers Sample Workers


10 Bhandara 59941 63297 61619 19.17 32.81 19.26 425 539 964 11 Gondiya 78556 63869 71212 32.80 26.41 21.62 580 620 1200 12 Gadchiroli 37608 52002 44805 30.60 12.47 14.74 361 422 783 13 Chandrapur 50509 64739 57624 39.56 42.62 29.56 336 443 779 14 Yavatmal 124575 114651 119613 18.75 30.19 17.46 392 361 753 15 Nanded 95524 131598 113561 20.48 33.13 21.04 368 596 964 16 Hingoli 36001 44100 40050 24.40 34.67 22.01 339 387 726 17 Parbhani 39532 36122 37827 22.27 33.22 19.67 288 342 630 18 Jalna 53554 63721 58637 59.82 35.73 33.51 316 303 619 19 Aurangabad 86309 135245 110777 16.14 15.06 11.14 339 369 708 20 Nashik 112948 263584 188266 20.88 56.82 40.27 234 1001 1235 21 Thane 228465 209095 218780 44.03 57.02 35.65 848 779 1627 24 Raigad 131103 246503 188803 37.86 66.00 45.05 658 821 1479 25 Pune 173544 256678 215111 28.27 48.45 31.07 781 1187 1968 26 Ahmednagar 191012 98691 144852 28.30 27.65 20.90 382 425 807 27 Bid 86942 78736 82839 27.80 36.71 22.74 437 210 647 28 Latur 139818 43738 91778 23.21 12.21 17.92 338 244 582 29 Osmanabad 95092 60904 77998 17.99 37.75 18.37 479 230 709 30 Solapur 86860 70707 78783 18.80 43.60 22.14 505 397 902 31 Satara 97421 116425 106923 16.59 48.51 27.47 428 495 923 32 Ratnagiri 67624 46647 57135 33.62 26.15 22.58 531 525 1056 33 Sindhudurg 69004 38854 53929 32.57 22.63 22.38 432 504 936 34 Kolhapur 220841 98501 159671 46.89 33.39 34.02 718 493 1211 35 Sangli 196162 88312 142237 56.42 38.34 40.68 527 561 1088

Maharashtra 3385082 2939396 3162239 6.24 9.72 5.62 14937 15433 30370

Page | 32

Table 5.4b: District wise estimated no of workers and their RSEs for central, state and pooled sample

Sector: URBAN Activity: All Pooling method: MATCHING RATIO


Estimated Workers RSE of estimated workers Sample Workers


10 Bhandara 24317 10812 16214 23.82 40.11 21.49 388 377 765 11 Gondiya 18591 50013 37444 22.69 70.10 56.36 366 544 910 12 Gadchiroli 6104 7059 6677 41.75 28.02 23.43 321 364 685 13 Chandrapur 107684 97143 101359 61.95 29.27 31.25 281 487 768 14 Yavatmal 44293 57029 51935 15.75 28.26 19.38 359 597 956 15 Nanded 98720 77486 85980 40.92 12.19 19.92 425 518 943 16 Hingoli 23518 11045 16034 24.45 22.37 17.07 423 309 732 17 Parbhani 89968 42114 61256 17.36 21.09 13.41 432 435 867 18 Jalna 42451 52413 48428 30.15 29.21 21.72 534 622 1156 19 Aurangabad 155448 88435 115240 35.53 23.86 22.10 400 412 812 20 Nashik 284531 434074 374257 30.11 17.36 15.16 2326 4627 6953 21 Thane 1484871 1077063 1240186 33.41 13.26 17.43 6852 11379 18231 22 Mumbai 1521438 1937563 1771113 20.90 15.57 12.49 8133 12401 20534 24 Raigad 142378 96232 114690 37.48 37.81 26.62 697 679 1376 25 Pune 609459 1145875 931309 15.41 11.41 9.34 6509 8738 15247 26 Ahmednagar 86224 128967 111870 36.76 31.63 24.64 400 850 1250 27 Bid 47922 35901 40709 26.74 32.37 21.26 432 470 902 28 Latur 73881 80253 77704 15.78 24.38 16.26 545 499 1044 29 Osmanabad 37853 27704 31764 10.03 42.70 22.85 453 421 874 30 Solapur 136167 240491 198761 31.13 30.03 23.41 411 957 1368 31 Satara 115363 52429 77603 48.51 16.69 29.63 537 670 1207 32 Ratnagiri 45048 25649 33409 29.45 17.13 17.74 787 841 1628 33 Sindhudurg 12332 11666 11932 28.12 33.67 22.92 466 581 1047 34 Kolhapur 263550 149001 194821 32.90 40.34 25.68 707 861 1568 35 Sangli 76638 92821 86348 34.07 46.45 32.31 351 548 899

Maharashtra 6752138 6850423 6811109 8.65 3.69 4.09 39418 57075 96493

Page | 33

Table 5.5a: District wise estimated no. of workers for central, state and pooled sample by broad activity category






Page | 34



24 Raigad 55731 29018 42374 32194 36662 34428 43178 180823 112001 25 Pune 48119 46650 47384 47640 43875 45758 77785 166153 121969 26 Ahmednagar 69949 21856 45902 44602 30101 37351 76462 46734 61598 27 Bid 35116 25879 30498 25961 25137 25549 25865 27719 26792 28 Latur 59061 15247 37154 36433 11863 24148 44324 16628 30476 29 Osmanabad 23863 39214 31538 33502 9059 21280 37728 12632 25180 30 Solapur 23944 18917 21431 22658 25436 24047 40258 26354 33306 31 Satara 23691 25291 24491 27913 50006 38960 45816 41129 43472 32 Ratnagiri 14414 15232 14823 17694 10801 14248 35516 20613 28065 33 Sindhudurg 15363 15359 15361 12514 8826 10670 41128 14669 27898 34 Kolhapur 109999 30439 70219 46489 31205 38847 64353 36857 50605 35 Sangli 37971 44705 41338 39836 24145 31990 118355 19462 68908

Maharashtra 1113997 731270 922633 967856 778820 873338 1303229 1429306 1366267

Page | 35

Table 5.5b: District wise estimated no. of workers for central, state and pooled sample by broad activity category






Page | 36



22 Mumbai 513920 638390 588602 499151 666690 599674 508367 632483 582837 24 Raigad 23828 16446 19399 68631 46240 55196 49919 33546 40095 25 Pune 165796 275902 231860 210206 369471 305765 233458 500502 393684 26 Ahmednagar 15051 21599 18980 38640 59023 50870 32533 48346 42021 27 Bid 8006 10107 9267 23458 14205 17906 16458 11589 13537 28 Latur 16659 8201 11584 26135 50055 40487 31087 21997 25633 29 Osmanabad 6727 4698 5510 19343 11415 14586 11782 11592 11668 30 Solapur 27060 110826 77320 59627 79788 71724 49480 49876 49718 31 Satara 17290 10615 13285 57198 18998 34278 40875 22815 30039 32 Ratnagiri 8485 5272 6557 19875 10924 14504 16688 9454 12348 33 Sindhudurg 1433 3149 2463 4608 4809 4729 6291 3709 4742 34 Kolhapur 65962 81556 75318 97849 35080 60188 99739 32366 59315 35 Sangli 17057 10586 13174 43460 48644 46570 16121 33590 26602

Maharashtra 2104883 2092666 2097553 2295798 2304862 2301236 2351457 2452895 2412320

Page | 37

Table 5.6a: District wise RSE's of estimate of workers for central, state and pooled sample by broad activity category





10 Bhandara 7.94 39.56 16.22 35.74 30.24 24.64 15.06 31.17 21.10 11 Gondiya 44.07 22.45 32.03 13.24 35.62 18.47 20.74 25.08 17.48 12 Gadchiroli 43.58 7.21 16.53 10.51 14.44 9.41 38.18 13.87 18.49 13 Chandrapur 37.05 60.85 42.14 36.35 34.70 25.12 42.78 34.37 27.05 14 Yavatmal 23.67 45.73 27.12 16.79 16.13 11.66 16.34 23.31 13.56 15 Nanded 22.08 14.21 13.94 14.28 41.12 27.34 27.01 33.94 23.37 16 Hingoli 14.47 28.04 14.91 16.17 16.55 11.66 35.82 44.68 30.47 17 Parbhani 6.61 54.00 27.09 43.42 1.95 25.53 10.62 38.27 21.03 18 Jalna 47.67 23.53 26.57 55.23 40.14 33.12 74.89 38.98 39.59 19 Aurangabad 26.49 21.42 16.69 11.37 11.52 8.28 11.27 13.95 9.92 20 Nashik 13.94 34.08 17.95 7.94 32.14 19.64 43.39 70.76 58.95 21 Thane 49.63 50.92 38.21 35.38 49.15 29.20 44.61 59.35 41.22 24 Raigad 50.87 34.72 35.50 29.12 22.73 18.22 27.60 79.79 64.63 25 Pune 26.28 28.50 19.36 25.75 18.36 16.04 31.05 62.00 43.38 26 Ahmednagar 39.72 26.91 30.93 28.11 36.15 22.22 17.95 22.53 14.04 27 Bid 29.98 46.37 26.17 19.51 38.58 21.41 33.15 25.99 20.90 28 Latur 42.78 20.44 34.26 12.97 15.59 10.51 5.57 2.27 4.10 29 Osmanabad 20.32 53.78 34.31 33.05 17.59 26.28 3.14 2.45 2.43 30 Solapur 14.38 24.67 13.53 14.36 30.22 17.36 23.93 70.11 31.28 31 Satara 18.07 39.41 22.15 6.95 54.43 35.02 21.69 46.92 24.97 32 Ratnagiri 38.92 21.20 21.83 30.34 23.41 20.82 33.11 31.23 23.88 33 Sindhudurg 13.25 15.21 10.09 25.35 16.60 16.37 41.99 34.02 32.22 34 Kolhapur 65.86 28.64 51.96 28.42 46.49 25.26 27.83 26.22 20.11 35 Sangli 53.55 36.60 31.57 15.43 33.79 15.97 71.14 47.95 61.47

Maharashtra 10.24 7.15 6.80 5.18 7.17 4.30 9.01 16.64 9.71

Page | 38

Table 5.6b: District wise RSE's of estimate of workers for central, state and pooled sample by broad activity category





10 Bhandara 37.07 36.34 26.32 12.70 37.25 15.23 29.59 44.60 25.80 11 Gondiya 26.33 50.06 30.72 25.87 76.68 66.55 14.59 66.96 55.16 12 Gadchiroli 34.10 12.43 15.53 14.24 35.56 26.26 67.44 20.19 35.00 13 Chandrapur 49.72 31.69 29.33 71.93 32.55 36.16 54.46 24.06 25.48 14 Yavatmal 23.56 35.59 24.71 16.86 19.97 14.29 9.75 31.81 21.45 15 Nanded 18.55 16.50 12.41 47.11 14.64 20.68 45.87 4.77 26.27 16 Hingoli 24.89 5.07 14.95 32.75 28.58 23.00 14.62 29.64 15.61 17 Parbhani 8.63 31.00 16.45 27.60 20.37 19.54 8.38 12.89 7.31 18 Jalna 19.47 47.73 33.97 7.66 34.24 25.76 45.34 9.97 22.33 19 Aurangabad 24.77 19.10 16.43 35.00 22.38 20.15 40.05 27.90 26.56 20 Nashik 13.35 22.57 17.63 36.64 13.66 15.28 31.65 16.88 15.34 21 Thane 50.17 21.27 27.98 18.87 6.90 10.03 13.40 7.21 6.92 22 Mumbai 23.70 14.81 12.70 27.30 11.46 11.88 11.79 20.65 14.06 24 Raigad 26.92 32.26 21.08 41.98 48.12 31.95 36.34 26.31 22.40 25 Pune 23.84 12.42 11.19 13.48 10.66 8.57 11.15 11.42 9.10 26 Ahmednagar 22.11 9.24 9.43 53.34 39.92 32.17 23.85 31.51 22.97 27 Bid 16.85 30.89 21.04 39.46 29.84 25.09 13.43 36.76 19.98 28 Latur 11.57 33.90 15.86 10.61 26.28 19.69 22.37 16.50 13.78 29 Osmanabad 4.26 17.06 8.97 5.31 38.21 18.16 21.07 57.50 35.32 30 Solapur 47.39 26.57 23.79 25.29 44.68 30.99 29.26 14.28 14.48 31 Satara 33.37 2.75 17.42 60.76 18.47 41.02 37.75 21.70 22.80 32 Ratnagiri 17.41 8.57 9.91 29.69 10.47 16.95 35.30 29.60 23.43 33 Sindhudurg 41.10 46.14 36.67 27.65 28.00 20.20 25.52 30.45 19.69 34 Kolhapur 35.34 55.11 37.88 37.47 22.59 25.62 26.80 22.36 19.46 35 Sangli 38.64 44.69 29.41 37.63 45.10 31.56 19.63 48.97 37.40

Maharashtra 19.26 7.47 8.93 8.25 4.89 4.41 5.49 6.23 4.36

Page | 39

Table 5.7a: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Rural Enterprise type: OAE

District Code District Estimated Annual GVA per worker (Rs.) RSE of estimated GVA per worker

Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 1 Nandurbar 28998 67431 48214 41066 7.08 4.50 3.80 4.14 2 Dhule 35164 53397 44281 40541 12.54 12.77 9.17 9.13 3 Jalgaon 20143 36478 28311 26005 22.55 16.65 13.39 13.99 4 Buldhana 25307 31084 28196 25722 6.76 19.78 11.32 6.41 5 Akola 32822 40313 36568 33906 6.99 13.83 8.24 6.25 6 Washim 32182 40759 36470 33149 7.85 17.38 10.31 7.18 7 Amravati 41270 33528 37399 39158 10.34 20.79 10.93 9.30 8 Wardha 24670 36344 30507 25544 12.95 30.91 19.14 12.03 9 Nagpur 30770 24714 27742 26995 37.81 36.59 26.56 26.45 10 Bhandara 29810 14694 22252 23161 14.75 33.76 14.89 14.21 11 Gondiya 16188 22206 19197 20245 33.91 17.18 17.41 15.47 12 Gadchiroli 30099 36229 33164 34046 16.89 10.43 9.55 8.91 13 Chandrapur 24841 26967 25904 26029 21.57 17.66 13.84 13.68 14 Yavatmal 27686 49491 38589 38979 12.15 6.56 6.06 5.99 15 Nanded 50935 63412 57173 53423 24.05 38.70 23.98 20.51 16 Hingoli 42039 34351 38195 38971 10.43 15.66 9.09 8.72 17 Parbhani 47970 56024 51997 49769 6.31 10.07 6.16 5.36 18 Jalna 43190 31811 37500 41152 10.07 29.28 13.71 9.58 19 Aurangabad 54025 63839 58932 60232 10.15 6.55 5.85 5.52 20 Nashik 48923 39164 44043 39443 23.46 5.02 13.22 4.91 21 Thane 24073 21144 22609 23040 5.53 8.53 4.96 4.65 24 Raigad 36680 18168 27424 32236 16.20 58.18 22.11 16.07 25 Pune 40168 27162 33665 39873 7.89 76.60 31.26 7.86 26 Ahmednagar 50689 48752 49721 49687 31.05 31.17 22.00 22.00 27 Bid 52451 47358 49905 47700 17.75 5.27 9.66 5.05 28 Latur 38966 82256 60611 64053 16.07 6.49 6.79 6.34 29 Osmanabad 38620 75185 56903 55363 4.25 2.38 2.13 2.18 30 Solapur 47647 56991 52319 56928 27.86 1.92 12.73 1.92 31 Satara 46947 40385 43666 41379 15.72 7.72 9.17 6.94 32 Ratnagiri 42575 42821 42698 42764 25.07 13.67 14.25 12.00 33 Sindhudurg 23232 39694 31463 32005 33.08 18.12 16.73 16.41 34 Kolhapur 20071 50869 35470 23817 16.14 17.12 13.10 12.75 35 Sangli 16703 60009 38356 23227 51.85 34.27 29.09 34.37

Maharashtra 33981 39607 36794 35249 6.13 9.75 5.96 5.20

Page | 40

Table 5.7b: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Rural Enterprise type: Establishment



Maharashtra 61840 67136 64488 63527 7.10 9.57 6.03 5.71

Page | 41

Table 5.7c: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Rural Enterprise type:All



Maharashtra 39347 44884 42115 41153 5.92 7.46 4.84 4.64

Page | 42

Table 5.7d: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Urban Enterprise type:OAE


Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 1 Nandurbar 49154 81756 68715 54262 5.12 7.14 5.30 4.26 2 Dhule 64779 65245 65059 65034 30.27 27.30 20.38 20.27 3 Jalgaon 60225 48362 53107 49552 14.52 6.04 7.37 5.59 4 Buldhana 30873 68375 53374 32819 5.62 10.85 8.44 5.15 5 Akola 40159 64286 54635 61861 25.32 5.29 8.33 5.21 6 Washim 40730 55377 49519 51524 8.72 3.83 3.85 3.54 7 Amravati 58542 52734 55057 53939 14.86 8.44 7.97 7.35 8 Wardha 43949 53476 49665 45167 8.05 17.28 11.52 7.31 9 Nagpur 45902 53290 50335 49739 11.82 9.79 7.57 7.56 10 Bhandara 53667 31191 40182 35466 14.81 12.35 9.78 9.77 11 Gondiya 30564 67353 52638 38210 28.32 25.09 20.36 20.16 12 Gadchiroli 46848 80695 67156 57434 6.74 5.80 4.58 4.56 13 Chandrapur 52324 43558 47064 48594 8.50 11.87 7.60 6.94 14 Yavatmal 53885 52974 53338 53368 7.75 6.88 5.16 5.14 15 Nanded 55546 61622 59192 59705 10.71 6.56 5.74 5.60 16 Hingoli 54069 65054 60660 56150 10.89 18.73 12.66 9.44 17 Parbhani 69406 89618 81533 69676 6.31 41.98 27.77 6.24 18 Jalna 54460 53221 53716 53979 15.77 20.25 13.63 12.44 19 Aurangabad 55974 68506 63493 57082 13.15 34.49 22.80 12.31 20 Nashik 65733 60132 62373 61239 6.73 3.65 3.54 3.21 21 Thane 71325 70353 70742 70435 9.98 3.08 4.42 2.95 22 Mumbai 96976 124057 113225 122499 11.15 2.15 4.08 2.12 24 Raigad 81679 74303 77253 79805 8.69 16.36 10.13 7.68 25 Pune 93015 76240 82950 86355 4.93 7.42 4.65 4.13 26 Ahmednagar 85226 55909 67636 76977 6.82 16.61 8.93 6.40 27 Bid 71599 93590 84794 73051 8.08 23.24 15.63 7.65 28 Latur 107866 103733 105386 105123 33.92 25.11 20.31 20.18 29 Osmanabad 76297 67229 70856 71219 13.51 13.59 9.68 9.60 30 Solapur 50167 34135 40548 40980 12.21 15.49 9.89 9.77 31 Satara 85808 56176 68029 60622 15.87 10.18 9.46 8.70 32 Ratnagiri 67577 92084 82281 72976 12.49 17.24 12.28 10.21 33 Sindhudurg 44566 65187 56939 58174 20.56 10.09 9.46 9.18 34 Kolhapur 64063 73757 69880 65663 1.65 3.22 2.13 1.47 35 Sangli 38443 105771 78840 39435 9.99 29.70 23.99 9.67

Maharashtra 69053 74965 72600 73326 4.69 2.67 2.43 2.32

Page | 43

Table 5.7e: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Urban Enterprise type: Establishment



Maharashtra 117990 114887 116128 115629 7.62 4.39 4.05 3.80

Page | 44

Table 5.7f: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Urban Enterprise type:All



Maharashtra 94110 96053 95276 95573 4.94 2.77 2.57 2.42

Page | 45

Table 5.8a: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample by broad activity category

Sector: Rural Enterprise type: All

District Code District Manufacturing Trade Other Services

Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 1 Nandurbar 18342 67222 42782 25639 28861 70135 49498 40220 39061 73030 56046 45060 2 Dhule 21623 38211 29917 26433 39303 60103 49703 46021 43545 57425 50485 44529 3 Jalgaon 32495 41173 36834 33803 33087 40157 36622 37154 19218 32980 26099 32776 4 Buldhana 25127 34383 29755 26778 45490 46626 46058 46619 28282 22575 25428 26826 5 Akola 36770 34724 35747 36486 38874 42084 40479 41885 35648 39457 37553 35989 6 Washim 26599 33621 30110 32873 38363 47005 42684 45340 28108 36371 32239 30702 7 Amravati 24159 24781 24470 24452 80768 44213 62491 47976 39905 26615 33260 31578 8 Wardha 20305 25794 23050 22607 31593 65591 48592 32393 24434 26727 25581 24879 9 Nagpur 81937 100031 90984 88339 29063 78455 53759 41451 36948 14557 25752 17601 10 Bhandara 37314 16345 26829 18496 42749 47397 45073 43116 18955 4217 11586 4820 11 Gondiya 45806 38954 42380 39115 42881 52709 47795 52256 17752 8636 13194 10887 12 Gadchiroli 31933 42835 37384 39753 51317 59138 55227 58312 20570 21268 20919 21121 13 Chandrapur 28345 48759 38552 43911 31054 46852 38953 36157 21212 12925 17069 17156 14 Yavatmal 22226 29393 25810 24262 43415 77496 60455 47324 21924 54746 38335 42052 15 Nanded 25975 70033 48004 31321 88783 82677 85730 82718 47863 95332 71597 59233 16 Hingoli 40615 36114 38365 36737 48747 85052 66900 82141 48147 14012 31079 26024 17 Parbhani 36476 47421 41949 45278 52844 82105 67475 56635 60798 59631 60215 60259 18 Jalna 42423 30119 36271 41341 44947 41708 43327 44877 38725 33041 35883 37794 19 Aurangabad 35389 35774 35581 35529 66273 96868 81571 92752 64232 47503 55868 52707 20 Nashik 43225 52304 47765 45100 70755 45874 58314 48426 32393 40844 36619 39805 21 Thane 27069 44541 35805 29924 37530 44210 40870 38422 25561 20978 23270 23599 24 Raigad 44439 43491 43965 44038 44085 75247 59666 44791 45922 23558 34740 27206

Page | 46


Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 25 Pune 45008 39136 42072 39625 66235 102566 84401 66377 42394 12157 27275 38505 26 Ahmednagar 59265 37566 48415 38610 93738 53569 73654 77883 36066 54368 45217 41637 27 Bid 45304 30991 38148 36077 63057 57796 60427 62596 62794 54009 58401 57937 28 Latur 53287 72662 62974 68655 50845 85414 68129 85054 43157 88843 66000 44437 29 Osmanabad 47503 71758 59630 58242 36887 84970 60928 58903 34823 75324 55073 36220 30 Solapur 37354 37613 37484 37436 61842 72284 67063 70956 48232 52038 50135 52006 31 Satara 54737 44136 49436 51416 57589 51193 54391 56178 53433 36119 44776 39964 32 Ratnagiri 34139 54550 44345 45102 71921 71681 71801 71790 45929 40681 43305 44674 33 Sindhudurg 35248 56288 45768 37486 36180 52099 44140 36588 19956 33893 26924 25163 34 Kolhapur 14765 69603 42184 19990 36089 57979 47034 57090 32679 42932 37806 39479 35 Sangli 16755 67549 42152 30209 53381 88598 70989 75301 12693 56213 34453 31818

Maharashtra 35704 46632 41168 42212 51637 66046 58841 56977 33334 32459 32896 33018

Page | 47

Table 5.8b: District wise estimate of Annual GVA (Rs.) per worker for central, state and pooled sample by broad activity category



Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 1 Nandurbar 32592 66502 52938 36556 62705 78698 72301 65559 57126 80698 71269 68602 2 Dhule 46957 58339 53786 58231 100254 82537 89624 96584 66310 64898 65463 65240 3 Jalgaon 53561 52715 53053 52719 110397 55895 77696 83926 66818 50180 56835 50290 4 Buldhana 42620 72694 60664 44712 48848 80709 67965 73316 46832 62043 55959 55170 5 Akola 42291 63290 54891 42745 52908 492845 316870 53347 40686 67144 56561 61698 6 Washim 37619 38615 38216 37990 46818 91776 73792 78800 56992 51198 53516 52989 7 Amravati 42829 31318 35923 33786 61670 57408 59112 58749 60914 55671 57768 58039 8 Wardha 57677 45220 50203 46740 52182 71350 63683 57787 45282 63617 56283 60052 9 Nagpur 41390 54078 49003 47378 58987 80871 72117 68150 56582 80665 71032 63305

10 Bhandara 50086 27064 36273 37120 75493 49764 60056 53244 38980 39902 39534 39502 11 Gondiya 14895 44267 32519 28481 62262 192860 140621 81841 36837 62110 52001 55705 12 Gadchiroli 50332 55822 53626 53945 76158 107150 94753 92293 62547 54479 57707 57350 13 Chandrapur 48339 42345 44742 42534 56294 75986 68109 56395 56009 44975 49388 55852 14 Yavatmal 61796 50270 54880 50420 73000 63809 67485 64780 60234 52998 55892 55083 15 Nanded 74650 54619 62631 55315 89760 104977 98890 95740 94410 53080 69612 56064 16 Hingoli 43465 47259 45741 46603 73273 97032 87528 77847 65387 50175 56260 52595 17 Parbhani 66025 56316 60199 63870 80037 155546 125342 80618 82031 61562 69750 64592 18 Jalna 60315 64327 62722 60506 102081 71910 83979 78362 59444 70386 66009 60801 19 Aurangabad 70567 47410 56673 60085 53060 82798 70903 53241 61408 114511 93270 71620 20 Nashik 55785 72499 65813 56518 89910 67121 76236 73592 67718 72306 70471 72137 21 Thane 92924 71163 79867 80297 114295 107849 110427 108898 90005 80939 84565 83643

Page | 48


Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 22 Mumbai 83148 102658 94854 88363 149300 159255 155273 157475 118472 128606 124553 128341 24 Raigad 67532 58208 61938 66899 86316 98296 93504 87492 83808 73953 77895 80319 25 Pune 80850 90259 86496 84007 139374 108965 121129 119269 231393 84759 143413 84813 26 Ahmednagar 81212 61081 69133 75059 98804 68730 80759 93995 91899 67721 77392 78476 27 Bid 77145 71121 73530 74456 92361 157122 131218 102486 70337 65477 67421 66495 28 Latur 81382 94331 89151 89135 194022 91224 132343 110706 84867 104802 96828 93960 29 Osmanabad 48784 54424 52168 49648 128152 84145 101748 92659 59644 62741 61502 62103 30 Solapur 55515 28050 39036 28664 59960 54073 56428 55860 47935 62581 56722 61093 31 Satara 62867 43589 51300 48074 101166 79939 88430 85102 97042 73076 82663 82182 32 Ratnagiri 65052 77395 72458 66854 106989 115530 112114 111809 84128 85687 85063 85530 33 Sindhudurg 46021 130188 96522 46076 63203 98778 84548 67621 48220 65481 58576 57895 34 Kolhapur 67629 76985 73243 73944 90792 112052 103548 96991 77037 89286 84386 87971 35 Sangli 51448 41826 45675 43714 43850 141557 102474 48711 59613 77929 70603 70407

Maharashtra 77551 78153 77912 77977 105341 118462 113213 110538 97968 90268 93348 90478

Page | 49

Table 5.9a: District wise RSE’s of estimate of Annual GVA (Rs.) per worker for central, state and pooled sample

Sector:Rural Enterprise type:All


Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 1 Nandurbar 25.63 16.69 14.22 16.91 8.88 5.93 4.93 5.42 7.19 8.30 5.96 5.65 2 Dhule 12.41 10.99 8.33 8.55 9.65 9.13 6.71 6.78 9.63 26.43 15.59 9.07 3 Jalgaon 19.41 36.35 22.05 17.19 24.62 17.43 14.67 14.29 87.49 6.26 32.45 6.25 4 Buldhana 5.08 7.97 5.08 4.32 29.67 2.29 14.70 2.29 16.89 36.16 18.60 15.37 5 Akola 4.03 10.63 5.56 3.77 25.14 5.96 12.46 5.80 7.00 20.18 11.11 6.61 6 Washim 55.00 15.02 25.70 14.52 33.29 13.28 16.65 12.37 14.58 16.66 11.34 11.06 7 Amravati 19.45 20.07 13.98 13.97 14.87 9.20 10.14 8.03 19.59 22.68 14.85 15.13 8 Wardha 14.99 13.89 10.20 10.26 6.61 20.51 14.01 6.37 25.06 46.73 27.19 22.10 9 Nagpur 31.82 35.22 24.09 23.72 15.88 10.17 8.57 9.64 36.42 36.67 28.11 28.19

10 Bhandara 16.23 12.53 11.92 10.49 11.96 36.88 20.20 11.38 23.04 21.38 19.24 18.32 11 Gondiya 51.84 9.48 28.35 9.33 32.50 5.81 14.93 5.73 40.66 47.87 31.52 32.95 12 Gadchiroli 13.19 6.17 6.65 5.63 8.87 2.64 4.36 2.54 39.35 19.61 21.76 17.55 13 Chandrapur 17.81 5.78 7.50 5.60 30.26 29.04 21.22 21.39 27.13 45.47 24.10 23.97 14 Yavatmal 16.47 19.77 13.31 12.77 7.68 11.96 8.15 6.63 42.58 13.54 15.55 13.81 15 Nanded 10.86 10.84 8.43 8.44 34.67 3.06 18.01 3.05 17.71 15.85 12.10 12.48 16 Hingoli 13.59 6.13 7.75 5.59 23.70 4.01 9.00 3.98 13.61 34.46 13.09 14.94 17 Parbhani 21.19 8.04 10.28 7.56 15.73 26.24 17.11 13.69 8.34 9.18 6.20 6.17 18 Jalna 2.03 9.23 4.01 1.99 5.33 38.75 18.85 5.28 16.35 43.30 21.80 15.32 19 Aurangabad 17.89 23.39 14.74 14.21 28.49 7.68 12.44 7.47 13.39 12.17 9.28 9.10 20 Nashik 8.02 12.99 7.99 6.85 21.30 11.11 13.64 9.97 21.52 6.39 10.16 6.14 21 Thane 18.80 25.85 17.58 15.55 10.26 22.18 12.89 9.33 14.66 20.65 12.31 12.01

Page | 50


Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 24 Raigad 23.89 28.52 18.57 18.31 5.31 20.45 13.04 5.17 40.05 34.47 28.93 27.30 25 Pune 31.16 10.80 17.41 10.21 3.60 37.05 22.56 3.58 9.42 85.48 20.41 9.68 26 Ahmednagar 30.66 10.88 19.24 10.33 25.20 54.61 25.53 23.60 25.62 25.69 18.52 18.51 27 Bid 17.62 19.12 13.03 13.19 11.85 41.70 20.88 11.40 18.80 19.66 13.59 13.63 28 Latur 32.45 12.15 15.42 11.45 37.51 2.29 14.07 2.29 4.65 13.31 9.09 4.45 29 Osmanabad 22.10 16.41 13.23 13.46 21.73 10.26 9.72 10.02 8.26 20.20 14.06 7.80 30 Solapur 20.34 29.59 17.98 16.76 29.34 9.58 14.48 9.12 25.11 2.14 12.13 2.13 31 Satara 14.73 27.04 14.57 12.99 4.93 10.42 5.56 4.46 14.38 11.36 9.73 9.06 32 Ratnagiri 18.45 10.72 9.69 9.50 13.86 12.71 9.40 9.37 12.11 24.39 13.14 10.86 33 Sindhudurg 15.91 28.87 18.78 14.14 7.21 30.85 18.45 7.04 48.77 37.18 29.57 30.61 34 Kolhapur 53.23 34.80 30.18 37.40 14.62 1.87 5.73 1.86 33.49 18.17 17.78 16.09 35 Sangli 22.49 9.29 8.69 10.70 47.57 22.32 22.67 20.72 45.57 11.62 12.66 13.61

Maharashtra 9.49 5.99 5.33 5.10 5.48 5.58 3.95 3.94 8.56 11.70 7.22 6.91

Page | 51

Table 5.9b: District wise RSE’s of estimate of Annual GVA (Rs.) per worker for central, state and pooled sample



Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 1 Nandurbar 8.24 11.10 8.61 6.91 8.45 14.45 9.88 7.33 15.50 11.27 9.13 9.25 2 Dhule 75.19 5.92 26.54 5.91 14.14 33.60 19.61 13.07 39.61 22.86 21.03 19.80 3 Jalgaon 27.25 1.99 11.07 1.99 8.90 18.10 9.31 8.40 24.53 2.66 11.62 2.65 4 Buldhana 12.66 27.15 19.85 11.64 29.38 9.78 10.95 9.43 12.54 8.59 7.09 7.15 5 Akola 6.04 27.18 18.90 5.92 21.93 74.49 69.53 21.74 30.72 9.48 11.12 9.19 6 Washim 13.57 17.14 11.69 10.64 16.11 5.23 5.65 5.14 10.01 7.45 6.04 5.99 7 Amravati 14.16 10.12 8.58 8.31 7.69 5.60 4.57 4.53 10.93 10.86 7.79 7.71 8 Wardha 2.76 1.31 1.45 1.19 9.84 11.19 8.18 7.47 28.53 9.98 11.40 9.48 9 Nagpur 15.64 12.66 9.91 9.93 11.09 9.53 7.36 7.32 14.69 16.56 12.22 11.15

10 Bhandara 7.38 12.02 6.75 6.58 16.71 10.03 9.77 8.71 15.23 13.03 9.91 9.90 11 Gondiya 40.12 14.55 13.97 15.38 13.16 10.12 8.64 9.23 26.71 9.23 10.05 8.89 12 Gadchiroli 24.77 16.10 13.70 13.52 18.21 12.42 10.26 10.40 13.86 11.83 9.00 9.02 13 Chandrapur 17.99 3.71 8.05 3.63 1.59 16.45 11.02 1.58 1.41 14.66 8.04 1.41 14 Yavatmal 46.98 6.62 21.47 6.56 12.16 4.78 5.92 4.45 13.64 9.87 8.13 8.01 15 Nanded 41.27 10.70 20.46 10.38 21.87 23.24 16.80 15.98 24.14 11.97 14.19 10.92 16 Hingoli 32.98 13.87 15.20 12.79 15.68 24.24 16.96 13.26 7.87 4.46 4.37 3.90 17 Parbhani 5.22 11.46 6.83 4.76 9.43 55.13 41.12 9.33 15.30 8.50 8.49 7.48 18 Jalna 7.38 30.93 19.24 7.18 29.28 21.67 18.07 17.64 8.32 18.67 12.32 7.61 19 Aurangabad 22.56 36.93 21.68 19.60 2.83 23.24 16.31 2.82 14.73 16.19 12.54 11.35 20 Nashik 9.43 33.87 22.62 9.10 9.88 8.33 6.41 6.43 17.87 3.27 7.16 3.22 21 Thane 5.42 6.02 4.09 4.06 13.58 6.35 6.74 5.75 6.29 4.56 3.75 3.70

Page | 52


Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV Central State Pool_MR Pool_IV 22 Mumbai 4.06 5.45 3.81 3.27 15.10 6.60 7.09 6.05 11.41 1.72 4.47 1.70 24 Raigad 5.65 24.30 13.92 5.51 3.20 8.52 5.50 3.00 6.97 10.67 6.78 5.85 25 Pune 9.41 11.87 8.22 7.39 11.32 10.37 7.65 7.70 49.60 2.59 32.02 2.59 26 Ahmednagar 9.35 18.74 10.86 8.43 3.99 13.16 7.00 3.85 10.18 12.37 8.10 7.95 27 Bid 20.47 24.73 16.72 15.78 19.83 27.07 20.24 16.41 12.13 6.70 6.39 5.87 28 Latur 13.06 9.22 7.55 7.55 27.49 28.28 19.92 20.98 10.85 9.59 7.30 7.23 29 Osmanabad 3.22 6.79 4.42 2.91 31.79 23.71 19.87 19.34 15.42 7.47 7.53 6.72 30 Solapur 8.25 2.47 4.81 2.39 5.54 4.06 3.31 3.28 13.19 3.40 4.99 3.30 31 Satara 27.02 21.46 17.18 17.04 8.20 5.89 4.93 4.81 5.25 5.46 3.81 3.82 32 Ratnagiri 10.20 20.74 13.79 9.18 10.92 8.89 6.90 6.90 12.73 4.17 5.63 3.97 33 Sindhudurg 5.00 69.30 56.09 4.99 7.36 12.50 9.04 6.44 33.10 21.59 18.12 18.28 34 Kolhapur 13.39 8.16 7.14 6.98 15.12 19.10 13.49 11.92 11.91 3.56 4.90 3.42 35 Sangli 20.26 12.31 11.36 10.56 13.06 17.69 14.83 11.46 14.54 9.28 7.87 7.89

Maharashtra 6.30 4.02 3.48 3.39 6.04 6.64 4.74 4.48 12.26 2.23 5.31 2.19

Page | 53

Table 5.10a: District wise estimate of Annual Emoluments per hired worker (Rs.) for central, state and pooled sample

Sector: Rural

District Code District

Estimated Annual Emoluments per hired worker (Rs.)

RSE of estimated Annual Emoluments per hired worker


Maharashtra 31653 31851 31752 31720 7.68 10.64 6.57 6.23

Page | 54

Table 5.10b: District wise estimate of Annual Emoluments per hired worker (Rs.) for central, state and pooled sample

Sector: Urban

District Code District

Estimated Annual Emoluments per hired worker (Rs.)

RSE of estimated Annual Emoluments per hired worker


Maharashtra 56275 52898 54249 53624 6.69 3.73 3.53 3.26

Page | 55

Table 5.11a: Compilation Category wise estimated no. of enterprises and their RSEs for central, state and pooled sample


Activity code Compilation Category

Estimated enterprises RSE of estimated enterprises

Central State Pooled Central State Pooled M1 Cotton ginning, cleaning and bailing 59 909 484 100.00 64.44 60.84 M2 Manufacture of food products 127662 111474 119568 9.47 18.70 10.08 M3 Manufacture of beverages 271 390 331 52.48 65.44 44.21 M4 Manufacture of tobacco products 23730 8472 16101 44.78 39.24 34.58 M5 Manufacture of textiles 25226 5708 15467 89.44 53.34 73.60 M6 Manufacture of wearing apparel 269043 201293 235168 6.28 9.59 5.45 M7 Manufacture of leather and related products 2503 10507 6505 47.79 97.68 79.42 M8 Manufacture of wood and products of wood and cork 64389 60881 62635 19.83 21.33 14.54 M9 Manufacture of paper and paper products 532 304 418 57.35 80.87 46.87 M10 Printing and reproduction of recorded media 4077 1719 2898 50.83 35.46 37.27 M11 Manufacture of coke and refined petroleum products 3 0 2 100.00 0.00 100.00 M12 Manufacture of chemicals and chemical products 536 3797 2167 71.10 74.97 66.28 M13 Manufacture of pharmaceuticals, medicinal chemical & botanical products 0 25 12 0.00 87.44 87.44 M14 Manufacture of rubber and plastics products 161 994 577 71.35 73.33 63.89 M15 Manufacture of other non-metallic mineral products 43556 22942 33249 40.92 29.31 28.65 M16 Manufacture of basic metals 370 669 519 70.84 66.19 49.53 M17 Manufacture of fabricated metal products 20550 19547 20049 16.47 17.68 12.06 M18 Manufacture of computer, electronic and optical products 9 0 4 100.00 0.00 100.00 M19 Manufacture of electrical equipment 110 1748 929 64.71 55.75 52.59 M20 Manufacture of machinery and equipment n.e.c. 1012 146 579 56.90 72.85 50.57 M21 Manufacture of motor vehicles, trailers and semi-trailers 246 1114 680 69.25 59.28 50.14

Page | 56



Central State Pooled Central State Pooled M23 Manufacture of other transport equipment 293 346 320 100.00 99.10 70.57 M24 Manufacture of furniture 26768 31336 29052 23.40 29.42 19.18 M25 Other Manufacturing 6537 9672 8105 43.32 46.08 32.58 M26 Repair and installation of machinery and equipment 11646 7531 9588 28.40 43.76 24.35 S1 Accommodation 1078 1308 1193 74.86 73.14 52.45 S2 Food service activities 92600 62969 77784 18.82 15.30 12.80 S3 Land Transport 168430 159489 163960 11.35 9.11 7.32 S4 Water Transport 33 416 225 100.00 62.34 58.23 S5 Warehousing and storage 83 64 74 100.00 100.00 71.34 S6 Support activities for transportation, postal and courier activities 441 0 221 64.13 0.00 64.13 S7 Information and Communication 20462 3676 12069 21.02 53.98 19.63 S8 Financial service activities except insurance and pension funding 133888 58890 96389 14.01 20.15 11.51 S9 Other financial activities 12484 7571 10027 37.06 27.63 25.32 S10 Real estate activities 5125 6371 5748 62.27 58.61 42.73 S11 Professional, Scientific and Technical activities 7317 9544 8430 31.18 29.23 21.38 S12 Administrative and support service activities 19936 20387 20162 14.78 13.93 10.15 S13 Education 17127 8885 13006 34.05 29.51 24.58 S14 Human Health and Social work 23279 30351 26815 14.68 16.72 11.41 S15 Other community, social and personal service activities 165075 157848 161462 11.93 11.18 8.19 T1 Trade and repair of motor vehicles and motor cycles 16462 16583 16523 30.03 21.62 18.48 T2 Activities of commission agents 19800 9677 14738 38.98 12.07 26.48 T3 Other wholesale trade 18747 14038 16393 34.27 43.95 27.17 T4 Other retail trade 574279 495854 535067 5.88 6.15 4.25

Activity Total 1925935 1565443 1745689 5.44 5.36 3.84

Page | 57

Table 5.11b: Compilation Category wise estimated no of enterprises and their RSEs for central, state and pooled sample

Sector: Urban Pooling method: MATCHING RATIO




Page | 58




Activity Total 3230543 3370985 3314809 6.81 4.23 3.70

Page | 59

Table 5.12a: Compilation Category wise estimated no of workers and their RSEs for central, state and pooled sample


Activity code Compilation Category Estimated workers RSE of estimated workers


Page | 60



Activity Total 3385082 2939396 3162239 6.24 9.72 5.62

Page | 61

Table 5.12b: Compilation Category wise estimated no of workers and their RSEs for central, state and pooled sample




Page | 62



Activity Total 6752138 6850423 6811109 8.65 3.69 4.09

Page | 63

Table 5.13a: Compilation Category wise estimated Annual GVA (Rs) per worker and their RSEs for central, state and pooled sample



Estimated Annual GVA per worker (Rs.)

RSE of estimated GVA per worker


Page | 64





Activity Total 39347 44884 42115 5.92 7.46 4.84

Page | 65

Table 5.13b: Compilation Category wise estimated Annual GVA (Rs) per worker and their RSEs for central, state and pooled sample






Page | 66





Activity Total 94110 96053 95276 4.94 2.77 2.57

Page | 67

Annexure – 1

Sample size: Number of first stage units (villages/urban frame survey blocks)

District Rural Urban

Central State Pooled Central State Pooled Ahmednagar 12 12 24 8 16 24 Akola 12 12 24 8 12 20 Amravati 12 11 23 8 12 20 Aurangabad 12 12 24 8 12 20 Bhandara 12 11 23 8 12 20 Bid 12 12 24 8 12 20 Buldhana 12 11 23 8 12 20 Chandrapur 12 11 23 8 12 20 Dhule 12 12 24 8 12 20 Gadchiroli 12 12 24 8 12 20 Gondiya 12 12 24 8 12 20 Hingoli 12 11 23 8 12 20 Jalgaon 12 12 24 8 12 20 Jalna 12 12 24 8 12 20 Kolhapur 12 12 24 8 16 24 Latur 12 12 24 8 12 20 Mumbai --- --- --- 160 237 397 Nagpur 12 11 23 64 96 160 Nanded 12 12 24 8 12 20 Nandurbar 12 12 24 8 12 20 Nashik 12 12 24 52 76 128 Osmanabad 12 12 24 8 12 20 Parbhani 12 12 24 8 12 20 Pune 16 16 32 124 184 308 Raigad 12 12 24 8 12 20 Ratnagiri 12 12 24 8 12 20 Sangli 12 12 24 8 12 20 Satara 12 12 24 8 12 20 Sindhudurg 12 12 24 8 12 20 Solapur 12 12 24 8 16 24 Thane 12 12 24 144 212 356 Wardha 12 10 22 8 12 20 Washim 12 12 24 8 12 20 Yavatmal 12 11 23 8 12 20 All 400 391 791 776 1165 1941

Page | 68

Annexure – 2

Abbreviations used in this Report RSE : Relative Standard Error IV : Inverse of Variance MR : Matching Ratio GVA : Gross Value Added GVAPW : Gross Value Added Per Worker OAE : Own Account Enterprises EST : Establishments

Schedule 2.34

1

GOVERNMENT OF INDIARURAL * NATIONAL SAMPLE SURVEY OFFICE CENTRAL *URBAN SOCIO - ECONOMIC SURVEY STATE

SIXTY-SEVENTH ROUND (JULY 2010 - JUNE 2011)SCHEDULE 2. 34 : UNINCORPORATED NON-AGRICULTURAL

ENTERPRISES (EXCLUDING CONSTRUCTION )

[0] descriptive identification of sample enterprise 1. state/u.t: 6. ward/inv. unit/ UFS block:2. district: 7. name of owner:3. tehsil/town*: 8. name of informant:4. village name: 9. name and address of the enterprise:

5. serial no. of hamlet:(col-1,block-3.1)#

*tick mark ( ) may be put in appropriate place. # refers to schedule 0.0.

[1] identification of sample enterprise item no.

item code item no.

item code

1 serial no. of sample village / block

12 FOD sub-region

2 round number 6 7 13 segment number (1 / 2 / 9)3 schedule number 2 3 44 sample (central-1, state-2) 14 second stage stratum

(SSS)5 sector (rural - 1, urban - 2)

6 nss-region 15 sample enterprise number7 district code 16 response code 8 stratum.9 sub-stratum 17 informant code10 sub - round 18 survey code11 sub - sample 19 reason for original sample

not surveyed (code)[for item 18 = 2 & 3]

codes for block 1

item 16 : response code : informant co-operative and capable - 1, informant co-operative but not capable - 2, informant busy but responded - 3, informant reluctant - 4, others - 9

item 17 : informant code : owner – 1, manager – 2, others – 9 item 18 : survey code: original enterprise surveyed - 1, substitute surveyed - 2, casualty - 3

item 19 : reason for original sample not surveyed: informant busy – 1, informant not available –2, informant non-cooperative – 3, others –9

Schedule 2.34

2

item 204 : type of ownership proprietary (male) ……………………... 1 Self-help Group…………… 5

proprietary(female) …………………….

partnership with members of the same household ……………………………….partnership between members not all from the same household ……………….

2

3

4

Trusts …………………….

Others…………………………..

6

9

item 209 : location of the enterprisewithin household premises ……………. 1 with fixed premises but without any structure 4outside household premises:

mobile market ………………………….. 5with fixed premises and with permanent structure ………………………………. 2 without fixed premises(street vendors) … 6with fixed premises and with temporary structure/kiosk/stall …………………… 3

Items 218 & 219 : nature of problems faced by the enterprise erratic power supply/ power cuts……….. 01 non-recovery of financial dues …………. 05

shortage of raw materials……….. 02 non-availability of labour as and when needed………………………………..

06

shrinkage /fall of demand ……………… 03 labour disputes and related problems ……. 07

non-availability / high cost of credit ……. 04 others (specify in the space provided)….. 09item 221 & 222 : type of assistance received from the government *

financial loan …………… 1 marketing ……………………………. 5

subsidy …………………… 2 raw material………… 6

machinery/ equipment……………………. 3 others ……………………….. 9

training ………………………………… 4

* This will not include any assistance/ subsidy which are passed on to the consumers.

Note 1: Mixed activity: An enterprise at a location will be treated as pursuing mixed activity if it carries out a no. of activities simultaneously and accounts for those activities are not separable. The NIC-2008 Codes for those activities should be different at 2-digit level. If accounts are separable, each activity will be treated as separate enterprise.

Note 2: Major activity: It is that activity which yields maximum income (1st) / turnover(2nd) /employment(3rd) (in the order mentioned)

Schedule 2.34

3

[2] particulars of operation and background information Item no. code

(1) (2) (3)whether pursuing mixed activity? (yes – 1, no – 2) 201major activity code (5-digited as per NIC 2008) 202

description of the major activity:

If ‘yes’ in item 201 principal minor activity code (5-digited as per NIC 2008) [ 1st 2 digits of item 202 ≠1st 2 digits of item 203]

203

type of ownership (code) 204Whether private non-profit institution? (yes-1, no-2) 205If ‘yes’ in item 205 Whether non-profit institutions serving households

(NPISH)? (yes-1, no-2)206

If item 204 is ‘1’ to ‘4’

social group of the owner / major partner (ST-1, SC-2, OBC-3, Others-4, not known-9)

207

number of other economic activities taken up by the entrepreneur during the last 365 days (applicable if item 204 is ‘1’ to ‘4’)

208

location of the enterprise (code) 209enterprise type during the last 365 days (Own Account Enterprise-1, Establishment-2)

210

year of initial operation 211

nature of operation (perennial – 1, seasonal – 2, casual – 3) 212number of months operated during the last 365 days 213

number of hours the enterprise normally worked in a day during the last 30 days

214

whether accounts maintained ? (yes-1, no-2) 215

If ‘yes’ in item 215, whether data collected from books of accounts? (yes-1, no-2)

216

did the enterprise face any problem in its operation during last 365 days? (yes-1, no-2)

217

if yes in item 217, nature of problems faced in its operation during the last 365 days (at most two codes in order of severity of problems)

Most severe problem

218

Next severe problem

219

did the enterprise receive any assistance from the government during last three years? (yes-1, no-2)

220

if yes in item 220, types of assistance received from the government during the last three years (code)(at most 2 codes may be given in descending orderof the importance of assistance)

Most importantassistance

221

Next importantassistance

222

Schedule 2.34

4

[2] particulars of operation and background information Item no. code

status of the enterprise over the last 3 years ( expanding – 1, stagnant – 2, contracting – 3, operated for less than three years – 9 )

223

whether registered under any act/authority? (yes-1, no-2) 224Type of registration of the enterprise

If ‘yes’ in item

224

whether registered under (yes-1, no-2)

Shops and Establishment Act? 225

Municipal Corporation/ Panchayats/ Local Body?

226

Vat /Sales Tax Act? 227

Provident Fund Act? 228

Employees State Insurance Corporation Act?

229

any other industry-specific Act/ Authority (give at most three codes)

230

231

232

Type of agreement with other units

Whether the enterprise has any prior marketing agreement with other units ? (yes-1, no-2)

233

If yes in item 233, supply out of the produce of enterprise covered in the agreement (codes) (whole produce/services-1, portion of produce/services -2)

234

coverage of the agreement with other units (codes) 235

does the agreement cover post agreement input price escalation ?(yes-1, no-2)

236

percentage of payments generally received at the time of sale / delivery under the agreement

237

whether supplying to a single parent unit ? (yes-1, no-2) 238

If yes in item 238, whether the parent unit has remained more or less the same in the past three years (only in case of enterprise existing for three or more years) (yes-1, no-2, not applicable-9)

239

Schedule 2.34

5

items 230-232 : industry-specific act/authority of registration State directorate of industries ……………… 01 Technical Consultancy Services

Organisations/Council for Technological Upgradation………………………………… 11

Khadi and Village Industries Commission/ Board……………………………………… 02Development Commissioner of Handicraft /handloom………………………………………. 03

Small Industries Development Bank of India (SIDBI)……………………………………… 12

Coir Board ……………………………………….

Directorate of education /AICTE/NCTE ………...

04

05

Small Industries Services Institutes/ other small

industries registration agencies……………. 13

Silk Board ……………………………………….

Jute Commissioner………………………………

Pollution Control Board…………………………

06

07

08

District Supply and Marketing Society…………

State Trading Corporation of India Limited

(STC) …………………………………………..

Indian Charitable Act ………………………….

14

15

16

Directorate General of Foreign Trade/ other

export promotion agencies……………………

State Financial Corporation/Industrial

Cooperative Banks/Industrial Development

Banks…………………………………………….

09

10

Cinematograph act …………………………….

Money lender’s Act ……………………………

Societies Registration Act, 1860 (including the

State variants)………………………

Public Trust Act ……………………………

Others……………………………………

17

18

19

20

99

item 235 : coverage of agreement with other unitsa. Raw materials provided by the other unit…… 1 e. a & c …………… 5

b. Technology/ designs/ specifications given by the other unit ………………………………...

c. Plant and machinery given by the other unit…

d. a & b ……………….

2

3

4

f. b & c………………………

g. a, b & c …………………………..

h. none of the above ………………..

6

7

9

Schedule 2.34

6

[2.1] activities pursued by the enterprise during last 30 days ended on ……………………. / last calendar month ended on …………………….broad description of the activity item no. whether

pursued the activity during the reference period(yes-1, no-2)

(1) (2) (3)manufacturing activity (NIC-08 Div. 10-33, 01632) 241

trading activity (NIC-08 Div. 45-47) 242

transportation and storage activities (NIC-08 Groups 492, 501, 502, excluding 49212, 49213, Div. 52)

243

postal and courier activities (NIC-08 Div. 53) 244

accommodation and food service activities (NIC-08 Div. 55-56) 245

information and communications (NIC-08 Div. 58-63) 246

financial and insurance activities (NIC-08 Groups 643, 65, 649, Div. 66) 247

real estate activities (NIC-08 Div. 68) 248

educational activity (NIC-08 Div. 85) 249

human health and social work activity (NIC-08 Div. 86-88) 250

other activities [NIC-08 Industries 37, 38, 39, 69-75, 77 (excluding 7740), 78, 79, 80, 81, 82, 90, 91, 92, 93, 94, 95, 96]

251

Schedule 2.34

7

[3] principal operating expenses during last 30 days ended on ……………………. / last calendarmonth ended on ……………………. (Rs. in whole number)(1) (2) (3)manufacturing activity (NIC-08 Div. 10-33, 01632)

main raw materials consumed Item no. Value (Rs.)301302303304

other raw materials 305purchase value of the goods sold in the same condition as purchased

306

total (items 301 to 306) 309

trading activity (NIC-08 Div. 45-47) main commodities purchased Item no. Value (Rs.)

311312313314

other commodities purchased 315total (items 311 to 315) 319

transportation activities (NIC-08 Groups 492, 501, 502, excluding 49212, 49213)main items Item no. Value (Rs.)

petrol, diesel, lubricants, etc. 321tyres , tubes, batteries etc. 322

repair and maintenance of transport equipment 323

toll tax, octroi, local fees, insurance charges etc. 324

charges paid towards storage of goods, parking of vehicles etc. 325


warehousing and support activities for transportation (NIC-08 Div. 52)

main items Item no. Value (Rs.)

consumable stores used in the warehouse 331

insurance charges 332expenses incurred for support activities for transportation 333total (items 331 to 333) 339

Schedule 2.34

8

[3] principal operating expenses during last 30 days ended on ……………………. / last calendarmonth ended on ……………………. (Rs. in whole number)(1) (2) (3)postal and courier activities (NIC-08 Div. 53)

main items Item no. Value (Rs.)

charges for stationeries, postal articles etc. 341

insurance charges 342

others 343


accommodation and food service activities (NIC-08 Div. 55-56)main items Item no. Value (Rs.)

articles consumed for food & drink preparation 351purchase value of goods traded 352crockery, glassware, bedding and other consumables 353fuels consumed 354total (items 351 to 354) 359

information and communications (NIC-08 Div. 58-63)main items Item no. Value (Rs.)

call charges and rent payable (local call/ STD / ISD, cyber café, radio paging, cellular etc.)

361

other expenses 362total (items 361 to 362) 369

financial and insurance activities (NIC-08 Groups 643, 649, Div. 65, 66 )main items Item no. Value (Rs.)

interest payments 371commission & brokerage 372insurance claims paid 373net changes in life insurance technical reserves[ put ( – ) sign in case of negative value] 374

service charges for work done by other concerns (contract, sub-contract, legal, audit, accounting services, etc.) 375

others (e.g., electricity, communication, travelling, printing etc.) 376total (items 371 to 376) 379

real estate activities (NIC-08 Div. 68)main items Item no. Value (Rs.)

maintenance of building, machinery and equipment 381other expenses (travelling, hospitality, legal etc.) 382


Schedule 2.34

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[3] principal operating expenses during last 30 days ended on ……………………. / last calendarmonth ended on ……………………. (Rs. in whole number)(1) (2) (3)educational activity (NIC-08 Div. 85)

main items Item no. Value (Rs.)recurring expenses on laboratory and library 391

recurring expenses on newspaper, journals, paper, printing, stationery etc. 392

expenses on festivals like annual day, teachers’ day, health check-up, etc. 393

expenses on consumables used in computer, Xerox, cyclostyle,etc. 394


human health and social work activity (NIC-08 Div. 86-88)main items Item no. Value (Rs.)

diet of patients 401

medicine and drugs 402

consumables used in operation theatre, sophisticated equipments, pathological, radiological and other diagnostic tests

403

syringes, intra veins drip sets, cotton bandages, plastering materials and other disposables

404

uniforms, linen and laundry materials 405

health camps, seminar, workshop, awareness programmes and other social activities

406

training, meeting, documentation, publication, nutritional expenses

407


Schedule 2.34

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[4] other operating expenses during last 30 days ended on ……………………. / last calendarmonth ended on ……………………. (Rs. in whole number)(All other operating expenses not covered under block 3 will be recorded here)

items Item no. Value (Rs.)(1) (2) (3)electricity charges 411fuel and lubricant 412raw materials consumed for own construction of building, furniture and fixtures (including labour charges)

413

minor repair and maintenance of

building 414plant and machinery 415transport equipment 416tools and other fixed assets 417Information, computer and telecommunication equipment (ICT)

418

rental payable on fixed assets (other than land and building)421

service charges for work done by other concerns ( contract, sub-contract, legal, audit, advertising and other accounting services, warehousing expenses, commission expenses, etc.)

422

travelling, freight and cartage (transport) expenses 423

communication expenses (telephone, telegram, fax , postal, courier , e-mail etc.) e-mail, etc. )

424

purchase of consumable stores, packing materials, etc. 425

paper, printing and stationery expenses 426

insurance charges 427other expenses 428total (items 411 to 428) 429taxes on production ( recurrent taxes on land, buildings or other structures, business or professional licence fees, road tax,registration fee of vehicles etc. )[excise duties and other indirect taxes are not to be included]

431

Note 3: Apart from the industries mentioned in block 3, this block will also be applicable for NIC-08 Industries 37, 38, 39, 69-75, 77 (excluding 7740), 78, 79, 80, 81, 82, 90, 91, 92, 93, 94, 95, 96.

Note 4: Please take care that there is no duplication of entries in similar items like 321 and 412, 323 and 416, 342 and 427 etc.

Schedule 2.34

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[5] principal receipts during last 30 days ended on ……………………. / last calendar month ended on ……………………. (Rs. in whole number)

(1) (2) (3)manufacturing activity (NIC-08 Div. 10-33, 01632)

main products and by-products manufactured Item no. Value (Rs.)501502503504

other products/ by-products 505sale value of the goods sold in the same condition as purchased 506sub-total (items 501 to 506) 509opening stock of semi-finished goods 511

closing stock of semi-finished goods 512

changes in stock of semi-finished goods (item 512 item 511) put () sign in case of negative value

513

total (item 509 + item 513) 519

trading activity (NIC-08 Div. 45-47) main commodities sold Item no. Value (Rs.)

521522523

524other commodities sold 525

sub-total (items 521 to 525) 529

opening stock of trading goods 531

closing stock of trading goods 532

changes in stock of trading goods (item 532 item 531)( put () sign in case of negative value)

533

total (item 529 +item 533) 539

transportation activities (NIC-08 Groups 492, 501, 502, excluding 49212, 49213)main items Item no. Value (Rs.)

earnings from passenger traffic 541

earnings from goods traffic 542


Schedule 2.34

12


(1) (2) (3)warehousing and support activities for transportation (NIC-08 Div. 52)

main items Item no. Value (Rs.)storage charges received 551service charges received for support activities for transportation 552


postal and courier activities (NIC-08 Div. 53)

main items Item no. Value (Rs.)charges received from customers for postal and courier activities 561

others 562total (items 561 to 562) 569

accommodation and food service activities (NIC-08 Div. 55-56)main items Item no. Value (Rs.)

lodging charges, rent receivable for hiring out rooms and halls for functions, conferences and receipts from services provided like transport / travel arrangements, laundry services, gym, spa, hair dressing, swimming pool, entertainment, etc.

571

receipts from sale of prepared food, refreshment and drinks 572

receipts from trading of purchased food, refreshment, drinks, etc. 573

receipts from catering services outside 574


information and communications (NIC-08 Div. 58-63)main items Item no. Value (Rs.)

charges receivable from customers (STD / ISD / courier/ fax / internet etc.) 581

other receipts 582total (items 581 to 582) 589

financial and insurance activities (NIC-08 Groups 643, 649, Div. 65, 66 )

main items Item no. Value (Rs.)interest receipts (cash and kind) 591dividend receipts 592lease income 593brokerage and commission 594

Schedule 2.34

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(1) (2) (3)

net profit in share dealing 595

income earned on chit funds 596

net earnings from hire purchase finance 597premium received 598supplementary premium received 601others (e.g. consultancy, receipts from non-financial activities, if any)

602


real estate activities (NIC-08 Div. 68)main items Item no. Value (Rs.)

receipts from services provided (including rent on land and building)

611

brokerage and commission charges 612total (items 611 to 612) 619

educational activity (NIC-08 Div. 85)main items Item no. Value (Rs.)

tuition fees 621

other fees (including development fees, transport fees, laboratory fees, examination fees, fines, library fee, etc.) 622

funding/ donations from individuals and non-govt. institutions 623total (items 621 to 623) 629

human health and social work activity (NIC-08 Div. 86-88)main items Item no. Value (Rs.)

consultation fees and charges for medicines 631

charges for operation theatre, and other special procedures 632charges for ward, cabin, pathological, radiological and other diagnostic tests, diet, nursing, physiotherapy and rehabilitation, etc

633

fees for training (nurses, paraprofessionals, etc.)634

donations/ grants from individuals and institutions 635


Schedule 2.34

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[6] other receipts during last 30 days ended on ……………………. / last calendar monthended on ……………………. (Rs. in whole number)(All other receipts of the enterprise not covered under block 4 will be recorded here.)

other receipts Item no. Value (Rs.)(1) (2) (3)receipts from services provided to others including commission charges

641

change-in-stock of semi-finished goods (applicable for servicing enterprises engaged in software generation, motion picture production etc.)

642

value of own construction of building, furniture and fixtures 643

rental receivable on fixed assets (other than land and building) 644

funding/ donations from individuals and non-govt. institutions 645

Govt. grants (excluding capital transfers like building fund, etc.) 646

other receipts 647


production subsidy/ interest subsidy 651

Note 5: Apart from the industries mentioned in block 5, this block will also be applicable for NIC-08 Industries 37, 38, 39, 69-75 , 77 (excluding 7740), 78, 79, 80, 81, 82, 90, 91, 92, 93, 94, 95, 96.Note 6: Please take care that there is no duplication of entries in similar items like 623 and 645, 635 and 645, etc.

[7] calculation of gross value added during last 30 days ended on ……………………. / lastcalendar month ended on ……………………. (Rs. in whole number)

items Item no. Value (Rs.)(1) (2) (3)total receipts:[items( 519+539+549+559+569+579+589+609+619+629+639+ 649)]

701

total operating expenses:[items 309+319+329+339+349+359+369+379+389+399+409+429]

702

distributive expenses, if any (@) 703

gross value added (item 701 item 702 –item 703) put () sign in case of negative value

709

@ includes excise duties, sales tax, non-deductible vat, outward freight and transport charges, commission to selling agents etc.

Schedule 2.34

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[8] employment particulars of the enterprise during last 30 days ended on ……………………. / last calendar month ended on …………………….

type of worker Item no. average number of workers full time part time total

female male female male (cols. 3 to 6)(1) (2) (3) (4) (5) (6) (7)

working owner 801formal hired worker 802informal hired worker

803

other worker / helper

804

total (items 801 to 804)

809

[9] compensation to workers during last 30 days ended on ……………………. / last calendarmonth ended on …………………….

type of emoluments Item no. value (Rs)(1) (2) (3)salary / wages, house rent allowances, transport allowance, bonus and other individual benefits directly payable to the worker (cash & kind)

working owner 901

formal hired worker 902

informal hired worker 903


contribution to insurance, provident fund and other social security schemes (average for a month)

working owner 911



Employer’s contribution to canteen, health clinic, child care centre, etc. (average for a month)

working owner 921


informal hired worker 923

other worker / helper 924


total emoluments (items 909 + 919 + 929) 939

Schedule 2.34

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[10] fixed assets owned and hired as on the last date of reference year (Rs. in whole number)

type of asset Item no.

market value of assets (Rs) as on the last date of reference year

*net additions to owned assets during last 365 days / last year

(Rs)

monthly rental

payable on hired assets

owned hired (Rs)(1) (2) (3) (4) (5) (6)land and building 1001

plant and machinery 1002transport equipment 1003tools and other fixed assets

1004

software and database

1005

information, computer and telecommunications equipment

1006

capital work in progress

1007

total (1001 to 1007) 1009

* net addition can either be positive or negative.

[11] loan outstanding as on the last date of the reference year (Rs. in whole number)

sources of loan Item no. amount (Rs)

interest payable during the last 30

days / last calendarmonth (Rs)

(1) (2) (3) (4)central and state level term lending institutions 1101

government (central, state, local bodies) 1102commercial banks 1103co-operative banks and societies 1104micro-finance institutions 1105other institutional agencies 1106money lenders 1107business partner(s) 1108suppliers / contractors 1109friends and relatives 1110others 1111total (1101 to 1111) 1119

Schedule 2.34

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[12] factor incomes of the enterprise during last 30 days ended on ……………………. / last calendar month ended on ……………………. (Rs. in whole number)

type of factor income Item no. value (Rs)(1) (2) (3)emoluments (item 939, col.3 of block 9) 1201rent payable (item 1001, col.6 of block 10) 1202interest payable (item 1119, col. 4 of block 11) 1203net surplus 1204total (items 1201 to 1204 ) 1209

[13] particulars of use of information and communication technology (ICT) by the enterprise during last 365 days ended on ……………………. / last year

main items Item no.

(yes-1, no-2)

(1) (2) (3)did the enterprise use computer/s during <reference period> 1301did the enterprise use the Internet during <reference period>? 1302does the enterprise have a web presence as on the date of survey? 1303does the enterprise have an intranet as on the date of survey? 1304did the enterprise receive orders for goods or services (that is, make sales) via the Internet during <reference period>?

1305

did the enterprise place orders for goods or services (that is, makepurchases) via the Internet during <reference period>?

1306

how did the enterprise connect to the Internet during <reference period>?narrowband 1307fixed broadband 1308mobile broadband 1309does the enterprise have a local area network (LAN) as on the date of survey?

1311

does the enterprise have an extranet as on the date of survey? 1312

for which of the following activities did the enterprise use the Internet during <reference period>?

sending and receiving e-mail 1313telephoning over the Internet/VoIP, including video conferencing 1314

getting information about goods and services 1315

getting information from general government organizations 1316

Schedule 2.34

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[13] particulars of use of information and communication technology (ICT) by the enterprise during last 365 days ended on ……………………. / last year

main items Item no.

(yes-1, no-2)

(1) (2) (3)interacting with general government organizations 1317internet banking 1318accessing other financial services 1319providing customer services 1321delivering products online 1322

internal or external recruitment 1323

staff training 1324number

<average> number of persons employed who routinely used computers during <reference period>.

1325

<average> number of persons employed who routinely used the Internet at work during <reference period>.

1326

Schedule 2.34

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Item No. Explanatory Notes

1301A computer refers to a desktop or a laptop computer. It does not include equipment with some embedded computing abilities such as mobile cellular phones, personal digital assistants (PDA)or TV sets.

1302

The Internet is a worldwide public computer network. It provides access to a number of communication services including the World Wide Web and carries email, news, entertainment and data files, irrespective of the device used (not assumed to be only via a computer - it may also be by mobile phone, games machine, digital TV, etc.). Access can be via a fixed or mobile network.

1303

A web presence includes a website, home page or presence on another entity's website (including a related business). It excludes inclusion in an on-line directory of any other webpages where the business does not have control over the content of the page.

1304An intranet refers to an internal communications network using Internet protocols and allowing communication within an organization (and with other authorized persons). It is typically set up behind a firewall to control access.

1305

Orders received include orders received via the Internet whether or not payment was made online. They include orders received via websites, specialized Internet marketplaces, extranets, EDI over the Internet, Internet-enabled mobile phones and email. They also include orders received on behalf of other organizations – and orders received by other organizations on behalf of the business. They exclude orders that were cancelled or not completed.

1306

Orders placed include orders placed via the Internet whether or not payment was made online. They include orders placed via websites, specialized Internet marketplaces, extranets, EDI over the Internet, Internet-enabled mobile phones and email. They exclude orders that were cancelled or not completed.

1307

Narrowband includes analogue modem (dial-up via standard phone line), Integrated Services Digital Network (ISDN), Digital Subscriber Line (DSL) at speeds below 256 kbit/s, and mobile phone and other forms of access with an advertised download speed of less than 256 kbit/s.Narrowband mobile phone access services include CDMA 1x (Release 0), GPRS, WAP and imode

1308Fixed broadband refers to technologies such as DSL, at speeds of at least 256 kbit/s, cable modem, high speed leased lines, fibre-to-the-home, powerline, satellite, fixed wireless, Wireless Local Area Network (WLAN) and WiMAX.

1309

Mobile broadband access services include Wideband CDMA (W-CDMA), known as Universal Mobile Telecommunications System (UMTS) in Europe; High-speed Downlink Packet Access (HSDPA), complemented by High-Speed Uplink Packet Access (HSUPA); CDMA2000 1xEV-DO and DCMA 2000 1xEV-DV. Access can be via any device (mobile cellular phone, laptop, PDA, etc.

1311 A LAN refers to a network connecting computers within a localized area such as a single building, department or site; it may be wireless.

1312

An extranet is a closed network that uses Internet protocols to share securely a business' information with suppliers, vendors, customers or other business partners. It can take the form of a secure extension of an intranet that allows external users to access some parts of it. It can also be a private part of the business' website, where business partners can navigate after authentication.

1314 VoIP refers to Voice over Internet Protocol

Schedule 2.34

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Item No. Explanatory Notes

1317Includes downloading/requesting forms online, making online payments and purchasing from, or selling to, government organizations. It excludes getting information from government organizations.

1318 Includes electronic transactions with a bank for payment, transfers, etc. or for looking up account information.

1319 Includes electronic transactions via the Internet for other types of financial services such as purchasing shares (stocks), financial services and insurance.

1321 Includes providing online or emailed product catalogues or price lists, product specification or configuration online, after-sales support, and order tracking online.

1322Refers to products delivered over the Internet in digitized form, e.g. reports, software, music, videos, computer games; and online services, such as computer-related services, information services, travel bookings or financial services.

1323 Including providing information about vacancies on an intranet or website, and allowing online applications

1324 Includes e-learning applications available on an intranet or from the World Wide Web.

[14] particulars of field operationssrl.no. particulars Investigator / Asst.

Superintending Officer Supervisory Officer

(1) (2) (3) (4)1401 (i) name in block letters

(ii) codedate(s) of D D M M Y Y D D M M Y Y

1402 (i) survey / inspection1403 (ii) receipt1404 (iii) scrutiny1405 (iv) despatch1406 total time taken to canvass

Sch. 2.34 (minutes) 1407 whether schedule contains remarks

(yes-1, no-2)in block 15

elsewhere in the schedule

in block 16

elsewhere in the schedule

1408 signature

Schedule 2.34

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[15] remarks by Investigator/ Asstt. Superintending Officer

[16] comments by Supervisory Officer(s)

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