Enterprise Survey 2014
India, 2013 - 2014
Get MicrodataCreated on
Mar 13, 2015
Last modified
Mar 29, 2019
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- india_2014_full_data_
N2RA Total rental cost of machinery, vehicles and equipment (n2ra)
Data file: india_2014_full_data_
Overview
Valid:
7165
Invalid:
2116
Type:
Discrete
Decimal:
0
Start:
1060
End:
1068
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
From this establishment's Income Statement for fiscal year 2012/2013, please provide the following information:
Total rental cost of machinery, vehicles and equipment
Total rental cost of machinery, vehicles and equipment
Categories
| Value | Category |
|---|---|
| -9 | DONT KNOW (SPONTANEOUS) |
| 0 | |
| 9 | |
| 2000 | |
| 6000 | |
| 8000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 12000 | |
| 15000 | |
| 18000 | |
| 20000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25200 | |
| 28532 | |
| 30000 | |
| 32107 | |
| 34000 | |
| 34840 | |
| 35000 | |
| 36000 | |
| 36400 | |
| 38000 | |
| 38500 | |
| 40000 | |
| 42000 | |
| 43200 | |
| 44000 | |
| 45000 | |
| 45600 | |
| 46000 | |
| 48000 | |
| 50000 | |
| 52500 | |
| 53200 | |
| 54000 | |
| 57000 | |
| 58800 | |
| 60000 | |
| 62500 | |
| 63000 | |
| 64400 | |
| 64800 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 72200 | |
| 74000 | |
| 75000 | |
| 75600 | |
| 76500 | |
| 78000 | |
| 79200 | |
| 80000 | |
| 82620 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 85500 | |
| 86400 | |
| 90000 | |
| 91000 | |
| 94000 | |
| 94500 | |
| 100000 | |
| 102000 | |
| 103600 | |
| 104000 | |
| 105000 | |
| 110000 | |
| 111800 | |
| 112000 | |
| 114400 | |
| 115000 | |
| 120000 | |
| 120600 | |
| 123200 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 132000 | |
| 136000 | |
| 137000 | |
| 139200 | |
| 140000 | |
| 140400 | |
| 144000 | |
| 148800 | |
| 150000 | |
| 152420 | |
| 155000 | |
| 160000 | |
| 161000 | |
| 162000 | |
| 163150 | |
| 170000 | |
| 170100 | |
| 173428 | |
| 173600 | |
| 175000 | |
| 175800 | |
| 180000 | |
| 185000 | |
| 187500 | |
| 200000 | |
| 204000 | |
| 210000 | |
| 212000 | |
| 213058 | |
| 215000 | |
| 216000 | |
| 218750 | |
| 220800 | |
| 223000 | |
| 224000 | |
| 225000 | |
| 227000 | |
| 228000 | |
| 230000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 262000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 285000 | |
| 300000 | |
| 307232 | |
| 310000 | |
| 319000 | |
| 327000 | |
| 340000 | |
| 350000 | |
| 359000 | |
| 360000 | |
| 380000 | |
| 382000 | |
| 390135 | |
| 400000 | |
| 406000 | |
| 410000 | |
| 415000 | |
| 420000 | |
| 450000 | |
| 455000 | |
| 460000 | |
| 470000 | |
| 480000 | |
| 493640 | |
| 500000 | |
| 510000 | |
| 514000 | |
| 523000 | |
| 525000 | |
| 527000 | |
| 530000 | |
| 540000 | |
| 550000 | |
| 554000 | |
| 560000 | |
| 575000 | |
| 600000 | |
| 631000 | |
| 640000 | |
| 650000 | |
| 655000 | |
| 660000 | |
| 675000 | |
| 680000 | |
| 700000 | |
| 720000 | |
| 724000 | |
| 750000 | |
| 770000 | |
| 780000 | |
| 792000 | |
| 800000 | |
| 809000 | |
| 820400 | |
| 825000 | |
| 840000 | |
| 860000 | |
| 870000 | |
| 880000 | |
| 900000 | |
| 940000 | |
| 950000 | |
| 960000 | |
| 972500 | |
| 979000 | |
| 1000000 | |
| 1020000 | |
| 1030000 | |
| 1040000 | |
| 1050000 | |
| 1060000 | |
| 1094000 | |
| 1100000 | |
| 1110000 | |
| 1150000 | |
| 1160000 | |
| 1170000 | |
| 1200000 | |
| 1250000 | |
| 1300000 | |
| 1302538 | |
| 1360000 | |
| 1361150 | |
| 1386000 | |
| 1400000 | |
| 1440000 | |
| 1450000 | |
| 1484000 | |
| 1500000 | |
| 1510000 | |
| 1540000 | |
| 1550000 | |
| 1574000 | |
| 1580000 | |
| 1600000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1850000 | |
| 1862412 | |
| 1872000 | |
| 1884000 | |
| 1900000 | |
| 2000000 | |
| 2023800 | |
| 2100000 | |
| 2150000 | |
| 2200000 | |
| 2240000 | |
| 2250000 | |
| 2275000 | |
| 2300000 | |
| 2400000 | |
| 2450000 | |
| 2500000 | |
| 2520000 | |
| 2560000 | |
| 2760000 | |
| 2800000 | |
| 2950700 | |
| 2975000 | |
| 3000000 | |
| 3100000 | |
| 3200000 | |
| 3300000 | |
| 3360000 | |
| 3400000 | |
| 3496000 | |
| 3500000 | |
| 3600000 | |
| 3660000 | |
| 3700000 | |
| 3800000 | |
| 4000000 | |
| 4200000 | |
| 4300000 | |
| 4465000 | |
| 4470000 | |
| 4500000 | |
| 4600000 | |
| 4800000 | |
| 5000000 | |
| 5200000 | |
| 5250000 | |
| 5400000 | |
| 5600000 | |
| 5800000 | |
| 6000000 | |
| 6200000 | |
| 6300000 | |
| 6500000 | |
| 6580000 | |
| 7000000 | |
| 7400000 | |
| 7500000 | |
| 7714000 | |
| 7975000 | |
| 8000000 | |
| 8075499 | |
| 8100000 | |
| 8400000 | |
| 8430000 | |
| 9000000 | |
| 9300000 | |
| 9700000 | |
| 9800000 | |
| 9900000 | |
| 10000000 | |
| 10290000 | |
| 11000000 | |
| 11800000 | |
| 12000000 | |
| 12400000 | |
| 12500000 | |
| 13000000 | |
| 14000000 | |
| 14500000 | |
| 15000000 | |
| 15500000 | |
| 17152000 | |
| 17400000 | |
| 17500000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 20600000 | |
| 21600000 | |
| 24000000 | |
| 24650000 | |
| 25000000 | |
| 27800000 | |
| 30000000 | |
| 35000000 | |
| 36000000 | |
| 38600000 | |
| 39000000 | |
| 40000000 | |
| 42000000 | |
| 45000000 | |
| 46500000 | |
| 50000000 | |
| 60000000 | |
| 64091704 | |
| 70000000 | |
| 72000000 | |
| 75000000 | |
| 78000000 | |
| 80000000 | |
| 88000000 | |
| 90000000 | |
| 92000000 | |
| 100000000 | |
| 110000000 | |
| 120000000 | |
| 128979378 | |
| 132100000 | |
| 137690000 | |
| 140000000 | |
| 162000000 | |
| 170000000 | |
| 190000000 | |
| 200000000 | |
| 300000000 | |
| 320000000 | |
| 360000000 | |
| 600000000 | |
| 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.