Female Headed Households Summary

State : UTTAR PRADESH (09) >> District : Mau (61)
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 23162626 9561975 41.28% 559082 2.41% 940888 4.06% 269716 1.16% 1073294 4.63% 229878 0.99% 791371 3.42% 18246288 78.77% 3308274 14.28% 1596868 6.89% 939637 4.06% 3648891 15.75% 3048019 13.16% 112368 0.49% 438376 1.89% 50128 0.22% 2596230 11.21% 280363 1.21% 13495850 58.27% 777675 3.36% 8608111 37.16% 643066 2.78% 512179 2.21% 5763533 24.88% 4613088 19.92% 2204698 9.52% 1559624 6.73% 215627 0.93% 85316 0.37%
State Total 2727355 823513 30.19% 66251 2.43% 76401 2.8% 8763 0.32% 112056 4.11% 44193 1.62% 82970 3.04% 1996081 73.19% 512050 18.77% 216293 7.93% 103333 3.79% 607439 22.27% 537412 19.7% 12925 0.47% 48971 1.8% 8131 0.3% 203456 7.46% 20123 0.74% 2238334 82.07% 26796 0.98% 442048 16.21% 142259 5.22% 152925 5.61% 507883 18.62% 1367944 50.16% 306190 11.23% 379990 13.93% 26689 0.98% 11155 0.41%
District Total 35350 8876 25.11% 503 1.42% 1680 4.75% 137 0.39% 2503 7.08% 762 2.16% 1039 2.94% 23371 66.11% 7442 21.05% 4537 12.83% 2391 6.76% 7645 21.63% 6703 18.96% 136 0.38% 686 1.94% 120 0.34% 1955 5.53% 196 0.55% 31444 88.95% 497 1.41% 3213 9.09% 1130 3.2% 1338 3.79% 8948 25.31% 20424 57.78% 5728 16.2% 3720 10.52% 163 0.46% 119 0.34%
Ghosi (001) 9624 1945 20.21% 122 1.27% 461 4.79% 46 0.48% 677 7.03% 141 1.47% 235 2.44% 6501 67.55% 2050 21.3% 1073 11.15% 648 6.73% 1702 17.68% 1513 15.72% 34 0.35% 139 1.44% 16 0.17% 468 4.86% 30 0.31% 8708 90.48% 78 0.81% 808 8.4% 180 1.87% 208 2.16% 2063 21.44% 6495 67.49% 1141 11.86% 706 7.34% 23 0.24% 17 0.18%
Madhuban (002) 7166 2297 32.05% 87 1.21% 338 4.72% 33 0.46% 483 6.74% 81 1.13% 297 4.14% 4838 67.51% 1496 20.88% 832 11.61% 462 6.45% 1170 16.33% 997 13.91% 25 0.35% 116 1.62% 32 0.45% 313 4.37% 25 0.35% 6326 88.28% 144 2.01% 671 9.36% 206 2.87% 204 2.85% 1720 24% 3464 48.34% 1179 16.45% 536 7.48% 15 0.21% 17 0.24%
Maunath Bhanjan (003) 9831 2968 30.19% 134 1.36% 524 5.33% 29 0.29% 817 8.31% 299 3.04% 137 1.39% 6977 70.97% 1734 17.64% 1120 11.39% 777 7.9% 2237 22.75% 1967 20.01% 47 0.48% 185 1.88% 38 0.39% 472 4.8% 31 0.32% 8837 89.89% 124 1.26% 839 8.53% 290 2.95% 277 2.82% 2972 30.23% 5336 54.28% 2074 21.1% 897 9.12% 44 0.45% 30 0.31%
Muhammadabad Gohna (004) 8729 1666 19.09% 160 1.83% 357 4.09% 29 0.33% 526 6.03% 241 2.76% 370 4.24% 5055 57.91% 2162 24.77% 1512 17.32% 504 5.77% 2536 29.05% 2226 25.5% 30 0.34% 246 2.82% 34 0.39% 702 8.04% 110 1.26% 7573 86.76% 151 1.73% 895 10.25% 454 5.2% 649 7.43% 2193 25.12% 5129 58.76% 1334 15.28% 1581 18.11% 81 0.93% 55 0.63%