Census Data Center · India 2011

Industry — MADHYA PRADESH

Industrial and occupational classification of workers by NIC and NCO codes

Population7,26,26,809
Sex ratio931
Literacy69.3%
Total workers3,15,74,133MADHYA PRADESH
Main workers2,27,02,119
Marginal workers88,72,014
Population7,26,26,809

Workers — Total

Total workers3,15,74,133
Worker males2,01,46,970
Worker females1,14,27,163
Work participation %43.5%
Non-workers4,10,52,676
Non-worker males1,74,65,336
Non-worker females2,35,87,340

Workers — Main

Main workers2,27,02,119
Main males1,63,62,065
Main females63,40,054
Cultivators82,14,993
Cultivator males60,38,749
Cultivator females21,76,244
Agri labourers66,30,821
Agri labourer males40,27,711
Agri labourer females26,03,110
Household industry6,47,565
HH industry males3,96,320
HH industry females2,51,245
Other workers72,08,740
Other males58,99,285
Other females13,09,455

Workers — Marginal

Marginal workers88,72,014
Marginal males37,84,905
Marginal females50,87,109
Marg. cultivators16,29,446
Marg. agri labourers55,61,446
Marg. HH industry3,11,694
Marg. other13,69,428

Workers — Marginal (detail)

Marg. cultivator males5,52,315
Marg. cultivator females10,77,131
Marg. agri lab. males22,82,946
Marg. agri lab. females32,78,500
Marg. HH industry males1,14,728
Marg. HH industry females1,96,966
Marg. other males8,34,916
Marg. other females5,34,512

Marginal Workers — 3 to 6 months

3–6 mo workers73,09,526
3–6 mo males31,46,582
3–6 mo females41,62,944
3–6 mo cultivators12,92,775
3–6 mo cult. males4,25,808
3–6 mo cult. females8,66,967
3–6 mo agri lab.46,70,315
3–6 mo agri lab. males19,45,081
3–6 mo agri lab. females27,25,234
3–6 mo HH industry2,43,053
3–6 mo HH ind. males89,797
3–6 mo HH ind. females1,53,256
3–6 mo other11,03,383
3–6 mo other males6,85,896
3–6 mo other females4,17,487

Marginal Workers — 0 to 3 months

0–3 mo workers15,62,488
0–3 mo males6,38,323
0–3 mo females9,24,165
0–3 mo cultivators3,36,671
0–3 mo cult. males1,26,507
0–3 mo cult. females2,10,164
0–3 mo agri lab.8,91,131
0–3 mo agri lab. males3,37,865
0–3 mo agri lab. females5,53,266
0–3 mo HH industry68,641
0–3 mo HH ind. males24,931
0–3 mo HH ind. females43,710
0–3 mo other2,66,045
0–3 mo other males1,49,020
0–3 mo other females1,17,025

Population Overview

Total population7,26,26,809
Males3,76,12,306
Females3,50,14,503
Sex ratio931per 1,000 males
Households1,50,93,256

Children (0–6 years)

Children 0–61,08,09,395
Boys 0–656,36,172
Girls 0–651,73,223
Child %14.9%

SC / ST

SC population1,13,42,320
SC males59,08,638
SC females54,33,682
SC %15.6%
ST population1,53,16,784
ST males77,19,404
ST females75,97,380
ST %21.1%

Literacy

Literate4,28,51,169
Literate males2,51,74,328
Literate females1,76,76,841
Literacy %59%
Illiterate2,97,75,640
Illiterate males1,24,37,978
Illiterate females1,73,37,662

Top districts by total workers

districts comparison


50 districts

districts-wise data

# DistrictWorkersMainMarginalWork %
1 Indore12,68,19511,37,2511,30,94438.7%
2 Jabalpur10,05,6247,44,2872,61,33740.8%
3 Sagar10,06,0357,79,0932,26,94242.3%
4 Bhopal8,67,4577,06,0361,61,42136.6%
5 Rewa9,91,9466,30,2513,61,69541.9%
6 Satna9,11,3496,12,5102,98,83940.9%
7 Dhar10,27,9747,83,0192,44,95547%
8 Chhindwara9,57,9846,73,8452,84,13945.8%
9 Gwalior6,85,3115,59,8451,25,46633.7%
10 Ujjain8,97,4426,82,1152,15,32745.2%
11 Morena6,75,9935,20,9701,55,02334.4%
12 Khargone (West Nimar)8,94,1197,56,7351,37,38447.7%
13 Chhatarpur7,51,7975,53,8621,97,93542.7%
14 Shivpuri7,59,2815,77,7231,81,55844%
15 Bhind5,20,7684,22,11198,65730.6%
16 Balaghat8,93,0145,30,5063,62,50852.5%
17 Betul7,86,9805,11,2872,75,69350%
18 Dewas7,42,6765,28,5262,14,15047.5%
19 Rajgarh7,45,6034,71,7732,73,83048.2%
20 Shajapur7,17,8715,08,8332,09,03847.5%
21 Vidisha5,50,4023,97,2831,53,11937.7%
22 Ratlam6,90,9804,71,1392,19,84147.5%
23 Tikamgarh6,55,3184,70,4321,84,88645.3%
24 Barwani 6,53,8975,25,7911,28,10647.2%
25 Seoni6,84,4343,97,5752,86,85949.6%
26 Mandsaur6,79,7235,35,0661,44,65750.7%
27 Raisen5,17,8383,70,2411,47,59738.9%
28 Sehore5,86,0873,72,1502,13,93744.7%
29 Khandwa (East Nimar)6,12,9764,92,3931,20,58346.8%
30 Katni 5,43,8743,16,1442,27,73042.1%
31 Damoh5,74,5953,89,9931,84,60245.5%
32 Guna5,14,8973,53,6711,61,22641.5%
33 Hoshangabad4,78,0823,61,6481,16,43438.5%
34 Singrauli4,99,4393,48,3931,51,04642.4%
35 Sidhi4,61,7602,75,4821,86,27841%
36 Narsimhapur4,77,8183,58,2031,19,61543.8%
37 Shahdol4,93,0572,40,8112,52,24646.3%
38 Mandla5,59,6493,25,1592,34,49053.1%
39 Jhabua5,15,1213,70,6411,44,48050.3%
40 Panna4,31,9982,76,6331,55,36542.5%
41 Ashoknagar3,15,2702,41,28873,98237.3%
42 Neemuch 4,18,6823,58,50060,18250.7%
43 Datia3,21,1602,47,22973,93140.8%
44 Burhanpur3,28,3392,74,90053,43943.3%
45 Anuppur3,46,4712,27,0401,19,43146.2%
46 Alirajpur3,66,7972,65,0291,01,76850.3%
47 Dindori 3,89,9252,50,1371,39,78855.3%
48 Sheopur 2,77,4551,96,18981,26640.3%
49 Umaria2,89,6911,38,6001,51,09144.9%
50 Harda 2,30,9791,63,78167,19840.5%