Other Households Summary

State : MADHYA PRADESH (23) >> District : Vidisha (26)
The reports presented here provide final SECC data of Rural India.
The data is presented statewise / districtwise as well as zonewise (North, South, East, West, Central, North Eastern, UT). Please click on particular state to view the district wise data.
Tehsil Name Total Households Landless households deriving major part of their income from manual casual labour % Households with non-agricultural enterprises registered with government % Households paying income tax / professional tax % Households with Destitutes/living on alms % Households with salaried job in government % Households with salaried job in Public % Households with salaried job in Private % Monthly income of highest earning household member is < 5000 % Monthly income of highest earning household member is 5000 - 10000 % Monthly income of highest earning household member is > 10000 % Household with government job and reporting monthly highest income > 5000 % Households having motorized two/three/four wheelers and fishing boats % Households having 2 wheeler % Households having 3 wheeler % Households having 4 wheeler % Households having motorized fishing boat % Households Own a refrigerator % Households Own a landline phone % Households Owns mobile only % Households Owns both landline and mobile % Household without any phone % Households owning mechanized three/four wheeler agricultural equipments % Households having kisan credit card with the credit limit of Rs.50,000 and above % Total Households owning un-irrrigated land % Total Households owning irrrigated land % Total Households owning other land % Households with irrigation equipments % Household who have no land but have irrigation equipment % Household which don't own land but have kissan credit card %
All India Total 126857204 43782713 34.51% 3846702 3.03% 6402330 5.05% 490213 0.39% 6781220 5.35% 1568500 1.24% 5299675 4.18% 89173871 70.29% 25231390 19.89% 12393886 9.77% 6265325 4.94% 31090884 24.51% 25951949 20.46% 837333 0.66% 3947518 3.11% 354084 0.28% 16958990 13.37% 1463507 1.15% 92474784 72.9% 4419205 3.48% 28494637 22.46% 6407279 5.05% 5578975 4.4% 38682743 30.49% 36533012 28.8% 16541017 13.04% 15026092 11.84% 1246870 0.98% 525392 0.41%
State Total 6717541 2622535 39.04% 66789 0.99% 163493 2.43% 40428 0.6% 280339 4.17% 45151 0.67% 78600 1.17% 5232322 77.89% 996929 14.84% 488265 7.27% 239054 3.56% 1520143 22.63% 1251004 18.62% 17711 0.26% 229411 3.42% 22017 0.33% 368216 5.48% 19225 0.29% 3748454 55.8% 97677 1.45% 2852154 42.46% 414237 6.17% 657542 9.79% 2301994 34.27% 2143070 31.9% 912547 13.58% 1386309 20.64% 37380 0.56% 24592 0.37%
District Total 180017 83469 46.37% 1149 0.64% 1862 1.03% 1289 0.72% 4159 2.31% 473 0.26% 656 0.36% 141241 78.46% 26057 14.47% 12719 7.07% 3142 1.75% 38776 21.54% 27742 15.41% 284 0.16% 10358 5.75% 392 0.22% 7629 4.24% 360 0.2% 97549 54.19% 1977 1.1% 80131 44.51% 20208 11.23% 25347 14.08% 62101 34.5% 51510 28.61% 21652 12.03% 33504 18.61% 766 0.43% 658 0.37%
Lateri (001) 21737 11899 54.74% 86 0.4% 112 0.52% 157 0.72% 352 1.62% 57 0.26% 17 0.08% 18751 86.26% 2014 9.27% 972 4.47% 260 1.2% 3234 14.88% 2040 9.38% 47 0.22% 1099 5.06% 48 0.22% 645 2.97% 62 0.29% 8916 41.02% 395 1.82% 12364 56.88% 1704 7.84% 1613 7.42% 7340 33.77% 4518 20.78% 2832 13.03% 2604 11.98% 80 0.37% 80 0.37%
Sironj (002) 28396 13660 48.11% 77 0.27% 56 0.2% 92 0.32% 404 1.42% 31 0.11% 218 0.77% 23539 82.9% 3527 12.42% 1330 4.68% 222 0.78% 4869 17.15% 2978 10.49% 20 0.07% 1826 6.43% 45 0.16% 783 2.76% 8 0.03% 17391 61.24% 107 0.38% 10890 38.35% 2856 10.06% 2973 10.47% 10081 35.5% 8583 30.23% 2690 9.47% 5435 19.14% 60 0.21% 45 0.16%
Kurwai (003) 23945 10845 45.29% 143 0.6% 310 1.29% 196 0.82% 561 2.34% 34 0.14% 68 0.28% 18431 76.97% 3720 15.54% 1794 7.49% 422 1.76% 5081 21.22% 3561 14.87% 21 0.09% 1478 6.17% 21 0.09% 1176 4.91% 18 0.08% 13603 56.81% 194 0.81% 10130 42.31% 2912 12.16% 4040 16.87% 7619 31.82% 7023 29.33% 3195 13.34% 5208 21.75% 93 0.39% 65 0.27%
Basoda (004) 19740 8482 42.97% 171 0.87% 300 1.52% 129 0.65% 669 3.39% 46 0.23% 96 0.49% 13780 69.81% 4005 20.29% 1955 9.9% 553 2.8% 5589 28.31% 3944 19.98% 36 0.18% 1583 8.02% 26 0.13% 1475 7.47% 45 0.23% 12864 65.17% 295 1.49% 6536 33.11% 2800 14.18% 3685 18.67% 7847 39.75% 6508 32.97% 3494 17.7% 4181 21.18% 134 0.68% 123 0.62%
Tyonda (005) 10760 4741 44.06% 39 0.36% 72 0.67% 56 0.52% 213 1.98% 12 0.11% 16 0.15% 8182 76.04% 1930 17.94% 648 6.02% 162 1.51% 2192 20.37% 1664 15.46% 19 0.18% 498 4.63% 11 0.1% 262 2.43% 25 0.23% 6571 61.07% 144 1.34% 4020 37.36% 1066 9.91% 1321 12.28% 4553 42.31% 3275 30.44% 1461 13.58% 1986 18.46% 20 0.19% 22 0.2%
Nateran (006) 12649 5280 41.74% 91 0.72% 71 0.56% 87 0.69% 235 1.86% 37 0.29% 27 0.21% 9512 75.2% 1669 13.19% 1468 11.61% 175 1.38% 3581 28.31% 2642 20.89% 57 0.45% 685 5.42% 197 1.56% 441 3.49% 58 0.46% 7370 58.27% 186 1.47% 5035 39.81% 1513 11.96% 1995 15.77% 4520 35.73% 3658 28.92% 1235 9.76% 2539 20.07% 182 1.44% 145 1.15%
Shamshabad (007) 15521 8168 52.63% 91 0.59% 201 1.3% 148 0.95% 188 1.21% 77 0.5% 32 0.21% 12786 82.38% 2100 13.53% 635 4.09% 158 1.02% 2416 15.57% 1836 11.83% 28 0.18% 547 3.52% 5 0.03% 366 2.36% 14 0.09% 6276 40.44% 136 0.88% 9095 58.6% 1305 8.41% 1324 8.53% 5324 34.3% 3846 24.78% 1445 9.31% 2466 15.89% 67 0.43% 45 0.29%
Gyaraspur (008) 11507 5466 47.5% 187 1.63% 196 1.7% 84 0.73% 334 2.9% 38 0.33% 46 0.4% 9739 84.64% 1181 10.26% 587 5.1% 238 2.07% 1912 16.62% 1349 11.72% 18 0.16% 534 4.64% 11 0.1% 352 3.06% 54 0.47% 4564 39.66% 98 0.85% 6791 59.02% 906 7.87% 1448 12.58% 4166 36.2% 2265 19.68% 1173 10.19% 1765 15.34% 58 0.5% 53 0.46%
Gulabganj (009) 8702 3505 40.28% 99 1.14% 167 1.92% 55 0.63% 311 3.57% 43 0.49% 17 0.2% 6421 73.79% 1405 16.15% 876 10.07% 255 2.93% 2410 27.69% 1831 21.04% 14 0.16% 552 6.34% 13 0.15% 426 4.9% 23 0.26% 4832 55.53% 149 1.71% 3698 42.5% 1248 14.34% 1778 20.43% 3592 41.28% 2424 27.86% 1069 12.28% 2000 22.98% 20 0.23% 39 0.45%
Vidisha (010) 27060 11423 42.21% 165 0.61% 377 1.39% 285 1.05% 892 3.3% 98 0.36% 119 0.44% 20100 74.28% 4506 16.65% 2454 9.07% 697 2.58% 7492 27.69% 5897 21.79% 24 0.09% 1556 5.75% 15 0.06% 1703 6.29% 53 0.2% 15162 56.03% 273 1.01% 11572 42.76% 3898 14.41% 5170 19.11% 7059 26.09% 9410 34.77% 3058 11.3% 5320 19.66% 52 0.19% 41 0.15%