Census Data Center · India 2011

Education — MADHYA PRADESH

Literacy rates, educational attainment by age, sex and religion

Population7,26,26,809
Sex ratio931
Literacy69.3%
Literate4,28,51,169MADHYA PRADESH
Literate males2,51,74,328
Literate females1,76,76,841
Illiterate2,97,75,640
Literacy %59%
Population7,26,26,809

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

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%

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 literate

districts comparison


50 districts

districts-wise data

# DistrictLiterateLit. malesLit. femalesIlliterateLiteracy %Population
1 Indore23,09,13012,89,63110,19,4999,67,56770.5%32,76,697
2 Jabalpur17,56,4689,80,3077,76,1617,06,82171.3%24,63,289
3 Sagar15,45,7199,08,6076,37,1128,32,73965%23,78,458
4 Bhopal16,60,6909,20,3147,40,3767,10,37170%23,71,061
5 Rewa14,41,7578,45,5725,96,1859,23,34961%23,65,106
6 Satna13,71,7818,01,0515,70,7308,57,15461.5%22,28,935
7 Dhar10,77,3386,38,4794,38,85911,08,45549.3%21,85,793
8 Chhindwara12,94,1987,31,2945,62,9047,96,72461.9%20,90,922
9 Gwalior13,57,2108,03,1145,54,0966,74,82666.8%20,32,036
10 Ujjain12,40,9907,30,8175,10,1737,45,87462.5%19,86,864
11 Morena11,79,6857,47,6524,32,0337,86,28560%19,65,970
12 Khargone (West Nimar)9,86,2345,75,4284,10,8068,86,81252.7%18,73,046
13 Chhatarpur9,43,0335,72,0103,71,0238,19,34253.5%17,62,375
14 Shivpuri9,00,8465,73,2423,27,6048,25,20452.2%17,26,050
15 Bhind10,94,9176,76,5134,18,4046,08,08864.3%17,03,005
16 Balaghat11,47,6236,26,4685,21,1555,54,07567.4%17,01,698
17 Betul9,39,7695,29,7834,09,9866,35,59359.7%15,75,362
18 Dewas9,25,3695,50,7163,74,6536,38,34659.2%15,63,715
19 Rajgarh8,04,2454,88,7973,15,4487,41,56952%15,45,814
20 Shajapur8,94,6125,43,5093,51,1036,18,06959.1%15,12,681
21 Vidisha8,62,9185,12,3443,50,5745,95,95759.1%14,58,875
22 Ratlam8,25,8804,85,0903,40,7906,29,18956.8%14,55,069
23 Tikamgarh7,47,9404,59,3532,88,5876,97,22651.8%14,45,166
24 Barwani 5,49,9263,13,6422,36,2848,35,95539.7%13,85,881
25 Seoni8,64,1944,85,3413,78,8535,14,93762.7%13,79,131
26 Mandsaur8,34,5915,02,8983,31,6935,05,82062.3%13,40,411
27 Raisen8,20,2204,79,0933,41,1275,11,37761.6%13,31,597
28 Sehore7,80,3624,69,2083,11,1545,30,97059.5%13,11,332
29 Khandwa (East Nimar)7,31,6154,32,2592,99,3565,78,44655.8%13,10,061
30 Katni 7,90,7734,60,5833,30,1905,01,26961.2%12,92,042
31 Damoh7,47,7154,45,7373,01,9785,16,50459.1%12,64,219
32 Guna6,53,9804,00,5372,53,4435,87,53952.7%12,41,519
33 Hoshangabad8,10,6444,69,1993,41,4454,30,70665.3%12,41,350
34 Singrauli5,85,0543,59,9232,25,1315,93,21949.7%11,78,273
35 Sidhi6,00,7853,53,0302,47,7555,26,24853.3%11,27,033
36 Narsimhapur7,18,7854,13,4913,05,2943,73,06965.8%10,91,854
37 Shahdol6,04,1943,48,7612,55,4334,61,86956.7%10,66,063
38 Mandla6,04,9623,48,0332,56,9294,49,94357.3%10,54,905
39 Jhabua3,52,0812,14,5821,37,4996,72,96734.3%10,25,048
40 Panna5,52,5593,32,1402,20,4194,63,96154.4%10,16,520
41 Ashoknagar4,69,1092,90,3041,78,8053,75,96255.5%8,45,071
42 Neemuch 5,08,8343,07,8892,00,9453,17,23361.6%8,26,067
43 Datia4,91,4453,03,8151,87,6302,95,30962.5%7,86,754
44 Burhanpur4,08,6792,33,0731,75,6063,49,16853.9%7,57,847
45 Anuppur4,36,5952,54,1201,82,4753,12,64258.3%7,49,237
46 Alirajpur2,09,7541,20,90588,8495,19,24528.8%7,28,999
47 Dindori 3,78,7142,22,7591,55,9553,25,81053.8%7,04,524
48 Sheopur 3,28,0252,08,2011,19,8243,59,83647.7%6,87,861
49 Umaria3,56,6722,10,9071,45,7652,88,08655.3%6,44,758
50 Harda 3,52,5502,03,8071,48,7432,17,91561.8%5,70,465