Impact Evaluation of the Integrated Agricultural Productivity Project 2012
Bangladesh, 2012
Get MicrodataCreated on
Jun 26, 2017
Last modified
Jun 26, 2017
Page views
104457
Downloads
4542
- Data files
- iapp_baseline_data_for_publicuse
D.1.18 - Total spent on inputs (d118_c1_05)
Data file: iapp_baseline_data_for_publicuse
Overview
Valid:
2299
Invalid:
2671
Minimum:
0
Maximum:
50000
Type:
Discrete
Decimal:
0
Start:
8239
End:
8243
Width:
5
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -66 | SKIP |
| 0 | |
| 10 | |
| 20 | |
| 22 | |
| 25 | |
| 30 | |
| 33 | |
| 36 | |
| 40 | |
| 42 | |
| 44 | |
| 45 | |
| 50 | |
| 52 | |
| 60 | |
| 61 | |
| 64 | |
| 65 | |
| 69 | |
| 70 | |
| 75 | |
| 77 | refuse |
| 78 | |
| 80 | |
| 88 | dont know |
| 90 | |
| 95 | |
| 97 | |
| 99 | missing |
| 100 | |
| 105 | |
| 106 | |
| 108 | |
| 109 | |
| 110 | |
| 120 | |
| 125 | |
| 132 | |
| 140 | |
| 143 | |
| 148 | |
| 150 | |
| 160 | |
| 165 | |
| 166 | |
| 170 | |
| 180 | |
| 190 | |
| 195 | |
| 200 | |
| 210 | |
| 216 | |
| 218 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 248 | |
| 250 | |
| 260 | |
| 270 | |
| 280 | |
| 285 | |
| 290 | |
| 292 | |
| 296 | |
| 300 | |
| 308 | |
| 310 | |
| 320 | |
| 322 | |
| 325 | |
| 330 | |
| 340 | |
| 347 | |
| 348 | |
| 350 | |
| 354 | |
| 355 | |
| 360 | |
| 362 | |
| 367 | |
| 369 | |
| 373 | |
| 375 | |
| 380 | |
| 389 | |
| 390 | |
| 395 | |
| 400 | |
| 407 | |
| 412 | |
| 418 | |
| 420 | |
| 425 | |
| 430 | |
| 436 | |
| 437 | |
| 445 | |
| 450 | |
| 455 | |
| 460 | |
| 466 | |
| 468 | |
| 470 | |
| 478 | |
| 480 | |
| 484 | |
| 485 | |
| 488 | |
| 495 | |
| 500 | |
| 515 | |
| 520 | |
| 525 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 570 | |
| 575 | |
| 580 | |
| 582 | |
| 583 | |
| 590 | |
| 600 | |
| 610 | |
| 620 | |
| 630 | |
| 640 | |
| 648 | |
| 650 | |
| 655 | |
| 660 | |
| 666 | |
| 670 | |
| 675 | |
| 678 | |
| 680 | |
| 688 | |
| 690 | |
| 691 | |
| 700 | |
| 708 | |
| 710 | |
| 720 | |
| 744 | |
| 750 | |
| 760 | |
| 765 | |
| 768 | |
| 770 | |
| 774 | |
| 775 | |
| 778 | |
| 780 | |
| 784 | |
| 790 | |
| 800 | |
| 810 | |
| 820 | |
| 830 | |
| 833 | |
| 840 | |
| 850 | |
| 860 | |
| 870 | |
| 875 | |
| 880 | |
| 886 | |
| 900 | |
| 910 | |
| 920 | |
| 930 | |
| 950 | |
| 952 | |
| 958 | |
| 960 | |
| 976 | |
| 1000 | |
| 1009 | |
| 1014 | |
| 1020 | |
| 1025 | |
| 1028 | |
| 1036 | |
| 1040 | |
| 1050 | |
| 1057 | |
| 1070 | |
| 1073 | |
| 1077 | |
| 1080 | |
| 1083 | |
| 1100 | |
| 1120 | |
| 1125 | |
| 1130 | |
| 1140 | |
| 1150 | |
| 1155 | |
| 1160 | |
| 1166 | |
| 1167 | |
| 1170 | |
| 1200 | |
| 1210 | |
| 1217 | |
| 1220 | |
| 1224 | |
| 1225 | |
| 1230 | |
| 1240 | |
| 1250 | |
| 1270 | |
| 1275 | |
| 1280 | |
| 1290 | |
| 1300 | |
| 1320 | |
| 1328 | |
| 1350 | |
| 1379 | |
| 1382 | |
| 1387 | |
| 1400 | |
| 1410 | |
| 1418 | |
| 1435 | |
| 1440 | |
| 1450 | |
| 1470 | |
| 1472 | |
| 1478 | |
| 1480 | |
| 1490 | |
| 1500 | |
| 1510 | |
| 1520 | |
| 1525 | |
| 1530 | |
| 1550 | |
| 1560 | |
| 1580 | |
| 1600 | |
| 1620 | |
| 1640 | |
| 1650 | |
| 1670 | |
| 1672 | |
| 1678 | |
| 1680 | |
| 1690 | |
| 1700 | |
| 1705 | |
| 1710 | |
| 1720 | |
| 1727 | |
| 1734 | |
| 1750 | |
| 1767 | |
| 1770 | |
| 1780 | |
| 1800 | |
| 1825 | |
| 1850 | |
| 1863 | |
| 1880 | |
| 1900 | |
| 1920 | |
| 1950 | |
| 1970 | |
| 1980 | |
| 1998 | |
| 2000 | |
| 2020 | |
| 2060 | |
| 2080 | |
| 2100 | |
| 2112 | |
| 2120 | |
| 2150 | |
| 2166 | |
| 2184 | |
| 2195 | |
| 2200 | |
| 2210 | |
| 2230 | |
| 2250 | |
| 2257 | |
| 2280 | |
| 2294 | |
| 2300 | |
| 2310 | |
| 2340 | |
| 2350 | |
| 2400 | |
| 2418 | |
| 2460 | |
| 2500 | |
| 2550 | |
| 2576 | |
| 2600 | |
| 2650 | |
| 2680 | |
| 2700 | |
| 2720 | |
| 2740 | |
| 2750 | |
| 2760 | |
| 2800 | |
| 2832 | |
| 2850 | |
| 2872 | |
| 2880 | |
| 2900 | |
| 2980 | |
| 3000 | |
| 3040 | |
| 3100 | |
| 3180 | |
| 3200 | |
| 3250 | |
| 3270 | |
| 3330 | |
| 3360 | |
| 3400 | |
| 3410 | |
| 3420 | |
| 3430 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3735 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 3954 | |
| 4000 | |
| 4065 | |
| 4200 | |
| 4400 | |
| 4460 | |
| 4500 | |
| 4570 | |
| 4595 | |
| 4600 | |
| 4730 | |
| 4770 | |
| 4800 | |
| 4920 | |
| 5000 | |
| 5200 | |
| 5250 | |
| 5310 | |
| 5500 | |
| 5800 | |
| 6000 | |
| 6630 | |
| 6732 | |
| 6900 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8300 | |
| 8880 | |
| 9000 | |
| 9260 | |
| 10000 | |
| 11000 | |
| 11968 | |
| 12000 | |
| 14000 | |
| 14863 | |
| 15000 | |
| 18000 | |
| 19360 | |
| 20000 | |
| 22000 | |
| 30000 | |
| 31400 | |
| 37090 | |
| 41000 | |
| 50000 | |
| Sysmiss |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.