Census Data Center · India 2011

Population — MADHYA PRADESH

Total population, gender split, growth, density and households

Population7,26,26,809
Sex ratio931
Literacy69.3%
Population7,26,26,809MADHYA PRADESH
Males3,76,12,306
Females3,50,14,503
Sex ratio931per 1,000 males
Literacy59%
Children 0–61,08,09,395
Households1,50,93,256

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

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

Top districts by population

districts comparison


50 districts

districts-wise data

# DistrictPopulationMalesFemalesSex ratioLiteracy %Workers %Households
1 Indore32,76,69716,99,62715,77,07092870.5%38.7%6,49,540
2 Jabalpur24,63,28912,77,27811,86,01192971.3%40.8%5,39,060
3 Sagar23,78,45812,56,25711,22,20189365%42.3%5,17,850
4 Bhopal23,71,06112,36,13011,34,93191870%36.6%5,01,805
5 Rewa23,65,10612,25,10011,40,00693161%41.9%5,26,065
6 Satna22,28,93511,57,49510,71,44092661.5%40.9%4,78,741
7 Dhar21,85,79311,12,72510,73,06896449.3%47%4,25,914
8 Chhindwara20,90,92210,64,46810,26,45496461.9%45.8%4,43,361
9 Gwalior20,32,03610,90,3279,41,70986466.8%33.7%3,83,845
10 Ujjain19,86,86410,16,2899,70,57595562.5%45.2%3,91,438
11 Morena19,65,97010,68,4178,97,55384060%34.4%3,62,646
12 Khargone (West Nimar)18,73,0469,53,1219,19,92596552.7%47.7%3,67,988
13 Chhatarpur17,62,3759,36,1218,26,25488353.5%42.7%3,56,297
14 Shivpuri17,26,0509,19,7958,06,25587752.2%44%3,59,969
15 Bhind17,03,0059,26,8437,76,16283764.3%30.6%2,99,233
16 Balaghat17,01,6988,42,1788,59,5201,02167.4%52.5%3,91,836
17 Betul15,75,3627,99,2367,76,12697159.7%50%3,29,832
18 Dewas15,63,7158,05,3597,58,35694259.2%47.5%3,08,871
19 Rajgarh15,45,8147,90,2127,55,60295652%48.2%3,45,297
20 Shajapur15,12,6817,80,5207,32,16193859.1%47.5%3,00,025
21 Vidisha14,58,8757,69,5686,89,30789659.1%37.7%2,99,676
22 Ratlam14,55,0697,38,2417,16,82897156.8%47.5%2,96,683
23 Tikamgarh14,45,1667,60,3556,84,81190151.8%45.3%2,96,116
24 Barwani 13,85,8816,99,3406,86,54198239.7%47.2%2,43,277
25 Seoni13,79,1316,95,8796,83,25298262.7%49.6%3,14,767
26 Mandsaur13,40,4116,82,8516,57,56096362.3%50.7%2,86,808
27 Raisen13,31,5977,00,3586,31,23990161.6%38.9%2,78,895
28 Sehore13,11,3326,83,7436,27,58991859.5%44.7%2,57,311
29 Khandwa (East Nimar)13,10,0616,74,3296,35,73294355.8%46.8%2,66,655
30 Katni 12,92,0426,62,0136,30,02995261.2%42.1%2,89,551
31 Damoh12,64,2196,61,8736,02,34691059.1%45.5%2,97,608
32 Guna12,41,5196,49,3625,92,15791252.7%41.5%2,44,401
33 Hoshangabad12,41,3506,48,7255,92,62591465.3%38.5%2,57,199
34 Singrauli11,78,2736,13,6375,64,63692049.7%42.4%2,43,925
35 Sidhi11,27,0335,75,9125,51,12195753.3%41%2,38,448
36 Narsimhapur10,91,8545,68,8105,23,04492065.8%43.8%2,50,286
37 Shahdol10,66,0635,40,0215,26,04297456.7%46.3%2,51,452
38 Mandla10,54,9055,25,2725,29,6331,00857.3%53.1%2,50,146
39 Jhabua10,25,0485,15,0235,10,02599034.3%50.3%1,94,157
40 Panna10,16,5205,33,4804,83,04090554.4%42.5%2,28,709
41 Ashoknagar8,45,0714,43,8374,01,23490455.5%37.3%1,72,680
42 Neemuch 8,26,0674,22,6534,03,41495461.6%50.7%1,79,746
43 Datia7,86,7544,20,1573,66,59787362.5%40.8%1,60,215
44 Burhanpur7,57,8473,88,5043,69,34395153.9%43.3%1,46,341
45 Anuppur7,49,2373,79,1143,70,12397658.3%46.2%1,70,715
46 Alirajpur7,28,9993,62,5423,66,4571,01128.8%50.3%1,23,800
47 Dindori 7,04,5243,51,9133,52,6111,00253.8%55.3%1,69,630
48 Sheopur 6,87,8613,61,7843,26,07790147.7%40.3%1,46,043
49 Umaria6,44,7583,30,6743,14,08495055.3%44.9%1,45,024
50 Harda 5,70,4652,94,8382,75,62793561.8%40.5%1,13,379