Other Households Summary

State : GUJARAT (24) >> District : Kheda (16)
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 5003114 1753053 35.04% 408872 8.17% 235776 4.71% 19424 0.39% 169427 3.39% 61453 1.23% 286845 5.73% 3185523 63.67% 1247180 24.93% 569929 11.39% 154632 3.09% 1787000 35.72% 1500595 29.99% 67691 1.35% 204315 4.08% 14399 0.29% 1010216 20.19% 49745 0.99% 3767120 75.3% 161175 3.22% 1025074 20.49% 500865 10.01% 153319 3.06% 1612603 32.23% 1542775 30.84% 694724 13.89% 798022 15.95% 65687 1.31% 27668 0.55%
District Total 337284 134045 39.74% 11322 3.36% 9357 2.77% 729 0.22% 11414 3.38% 2310 0.68% 7288 2.16% 269155 79.8% 47104 13.97% 21025 6.23% 10536 3.12% 52726 15.63% 45017 13.35% 2203 0.65% 5342 1.58% 164 0.05% 32321 9.58% 1771 0.53% 178078 52.8% 8191 2.43% 149244 44.25% 11336 3.36% 3079 0.91% 101320 30.04% 102768 30.47% 39790 11.8% 14792 4.39% 1435 0.43% 787 0.23%
Kapadvanj (001) 41640 13009 31.24% 2198 5.28% 871 2.09% 133 0.32% 1343 3.23% 127 0.3% 298 0.72% 33187 79.7% 5902 14.17% 2551 6.13% 1232 2.96% 5714 13.72% 4766 11.45% 171 0.41% 760 1.83% 17 0.04% 4033 9.69% 266 0.64% 20300 48.75% 1044 2.51% 20030 48.1% 1772 4.26% 637 1.53% 19963 47.94% 14084 33.82% 6810 16.35% 4268 10.25% 397 0.95% 65 0.16%
Virpur (002) 19000 4090 21.53% 434 2.28% 1373 7.23% 35 0.18% 1641 8.64% 73 0.38% 191 1.01% 15049 79.21% 2039 10.73% 1912 10.06% 1568 8.25% 2421 12.74% 2145 11.29% 25 0.13% 250 1.32% 1 0.01% 1943 10.23% 112 0.59% 6415 33.76% 285 1.5% 12188 64.15% 361 1.9% 81 0.43% 11171 58.79% 4858 25.57% 1145 6.03% 1334 7.02% 9 0.05% 20 0.11%
Balasinor (003) 19396 3094 15.95% 199 1.03% 630 3.25% 25 0.13% 910 4.69% 75 0.39% 190 0.98% 16446 84.79% 1743 8.99% 1207 6.22% 836 4.31% 1926 9.93% 1637 8.44% 54 0.28% 233 1.2% 2 0.01% 1043 5.38% 52 0.27% 7636 39.37% 258 1.33% 11450 59.03% 561 2.89% 321 1.65% 13644 70.34% 3701 19.08% 2204 11.36% 1274 6.57% 18 0.09% 4 0.02%
Kathlal (004) 36472 15726 43.12% 901 2.47% 1001 2.74% 34 0.09% 1198 3.28% 192 0.53% 294 0.81% 33047 90.61% 2187 6% 1238 3.39% 1096 3.01% 2926 8.02% 2494 6.84% 128 0.35% 297 0.81% 7 0.02% 1214 3.33% 129 0.35% 14915 40.89% 349 0.96% 21079 57.8% 502 1.38% 153 0.42% 12386 33.96% 10380 28.46% 2599 7.13% 587 1.61% 43 0.12% 47 0.13%
Mehmedabad (005) 40888 15043 36.79% 1203 2.94% 1018 2.49% 39 0.1% 1052 2.57% 157 0.38% 835 2.04% 35754 87.44% 3371 8.24% 1763 4.31% 978 2.39% 5151 12.6% 4441 10.86% 231 0.56% 475 1.16% 4 0.01% 2626 6.42% 183 0.45% 24256 59.32% 728 1.78% 15721 38.45% 1266 3.1% 196 0.48% 10280 25.14% 16133 39.46% 3918 9.58% 1172 2.87% 58 0.14% 50 0.12%
Kheda (006) 17326 7735 44.64% 213 1.23% 262 1.51% 41 0.24% 288 1.66% 88 0.51% 1014 5.85% 13408 77.39% 3137 18.11% 781 4.51% 243 1.4% 3483 20.1% 2853 16.47% 131 0.76% 491 2.83% 8 0.05% 1953 11.27% 69 0.4% 10829 62.5% 308 1.78% 6120 35.32% 822 4.74% 288 1.66% 2514 14.51% 6179 35.66% 2230 12.87% 857 4.95% 36 0.21% 41 0.24%
Matar (007) 29479 14314 48.56% 236 0.8% 758 2.57% 61 0.21% 855 2.9% 164 0.56% 406 1.38% 23031 78.13% 4710 15.98% 1738 5.9% 792 2.69% 4627 15.7% 3897 13.22% 248 0.84% 419 1.42% 63 0.21% 2942 9.98% 315 1.07% 16868 57.22% 816 2.77% 11480 38.94% 1006 3.41% 232 0.79% 5848 19.84% 9230 31.31% 2706 9.18% 675 2.29% 21 0.07% 38 0.13%
Nadiad (008) 58519 28906 49.4% 4440 7.59% 1274 2.18% 231 0.39% 1585 2.71% 984 1.68% 3286 5.62% 41565 71.03% 12839 21.94% 4115 7.03% 1413 2.41% 15765 26.94% 13574 23.2% 823 1.41% 1353 2.31% 15 0.03% 9692 16.56% 413 0.71% 37327 63.79% 2923 4.99% 17856 30.51% 2265 3.87% 540 0.92% 9445 16.14% 13960 23.86% 6842 11.69% 2026 3.46% 470 0.8% 271 0.46%
Mahudha (009) 21735 9355 43.04% 177 0.81% 275 1.27% 27 0.12% 386 1.78% 39 0.18% 258 1.19% 18409 84.7% 2277 10.48% 1049 4.83% 348 1.6% 2834 13.04% 2528 11.63% 106 0.49% 197 0.91% 3 0.01% 2136 9.83% 68 0.31% 11761 54.11% 347 1.6% 9559 43.98% 626 2.88% 147 0.68% 5427 24.97% 7900 36.35% 3765 17.32% 539 2.48% 30 0.14% 23 0.11%
Thasra (010) 52829 22773 43.11% 1321 2.5% 1895 3.59% 103 0.19% 2156 4.08% 411 0.78% 516 0.98% 39259 74.31% 8899 16.84% 4671 8.84% 2030 3.84% 7879 14.91% 6682 12.65% 286 0.54% 867 1.64% 44 0.08% 4739 8.97% 164 0.31% 27771 52.57% 1133 2.14% 23761 44.98% 2155 4.08% 484 0.92% 10642 20.14% 16343 30.94% 7571 14.33% 2060 3.9% 353 0.67% 228 0.43%