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enterprise_surveys

Enterprise Survey 2006-2017 Panel Data

Uruguay, 2006 - 2017
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Reference ID
URY_2006-2017_ES-P_v01_M
DOI
https://doi.org/10.48529/yzc0-ns23
Producer(s)
The World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Nov 14, 2018
Last modified
Nov 19, 2018
Page views
25877
Downloads
2085

Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)

Data file: Uruguay_2006_2010_2017

Overview

Valid: 1231
Invalid: 344
Type: Discrete
Decimal: 0
Start: 777
End: 786
Width: 10
Range: -9 - 1700000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of: New or used machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know (spontaneous) 98
8%
-8 26
2.1%
0 288
23.4%
2000 2
0.2%
4000 1
0.1%
5000 1
0.1%
7200 1
0.1%
10000 3
0.2%
10002 1
0.1%
10700 1
0.1%
11500 1
0.1%
12000 2
0.2%
14400 1
0.1%
16000 1
0.1%
18000 3
0.2%
18700 1
0.1%
20000 1
0.1%
22000 1
0.1%
23400 1
0.1%
24000 1
0.1%
25000 3
0.2%
26292 1
0.1%
28000 1
0.1%
29400 1
0.1%
30000 5
0.4%
36000 1
0.1%
36750 1
0.1%
40000 2
0.2%
48000 6
0.5%
48800 1
0.1%
50000 8
0.6%
52500 1
0.1%
56000 1
0.1%
59550 1
0.1%
60000 10
0.8%
66000 1
0.1%
70000 3
0.2%
72000 1
0.1%
77136 1
0.1%
80000 1
0.1%
81000 1
0.1%
81464 1
0.1%
90000 4
0.3%
95000 2
0.2%
96000 1
0.1%
98135 1
0.1%
99407 1
0.1%
100000 22
1.8%
105000 1
0.1%
110000 1
0.1%
114000 1
0.1%
118970 1
0.1%
120000 10
0.8%
122576 1
0.1%
125000 1
0.1%
126000 1
0.1%
130000 2
0.2%
132000 1
0.1%
137720 1
0.1%
144000 4
0.3%
150000 8
0.6%
157000 1
0.1%
160000 3
0.2%
180000 2
0.2%
192000 2
0.2%
196000 1
0.1%
196270 2
0.2%
200000 17
1.4%
207760 1
0.1%
210000 2
0.2%
218629 1
0.1%
221298 1
0.1%
230000 1
0.1%
235524 2
0.2%
240000 8
0.6%
250000 7
0.6%
251000 1
0.1%
252461 1
0.1%
260000 2
0.2%
267000 1
0.1%
270000 1
0.1%
280000 2
0.2%
285600 1
0.1%
288000 2
0.2%
290000 3
0.2%
294000 1
0.1%
298000 1
0.1%
300000 17
1.4%
306250 1
0.1%
311706 1
0.1%
320000 1
0.1%
323527 1
0.1%
325000 1
0.1%
336000 2
0.2%
340000 1
0.1%
350000 8
0.6%
353286 1
0.1%
360000 8
0.6%
367500 2
0.2%
375000 2
0.2%
380000 2
0.2%
384000 1
0.1%
392000 1
0.1%
392540 1
0.1%
396000 1
0.1%
400000 21
1.7%
408000 1
0.1%
410000 1
0.1%
415000 1
0.1%
420000 3
0.2%
432000 1
0.1%
440000 1
0.1%
442500 1
0.1%
450000 6
0.5%
460000 1
0.1%
480000 8
0.6%
490675 1
0.1%
500000 22
1.8%
509000 1
0.1%
525000 2
0.2%
534223 1
0.1%
540000 1
0.1%
550000 5
0.4%
551000 1
0.1%
552000 1
0.1%
570000 1
0.1%
588200 1
0.1%
600000 25
2%
612500 2
0.2%
619850 1
0.1%
620000 1
0.1%
625000 2
0.2%
630000 1
0.1%
660000 4
0.3%
664931 1
0.1%
672000 1
0.1%
680000 1
0.1%
694134 1
0.1%
700000 3
0.2%
720000 8
0.6%
723460 1
0.1%
740000 1
0.1%
750000 4
0.3%
780000 1
0.1%
781215 1
0.1%
800000 14
1.1%
810000 2
0.2%
840000 2
0.2%
850000 1
0.1%
863000 1
0.1%
870000 3
0.2%
880000 1
0.1%
900000 9
0.7%
920000 1
0.1%
946000 1
0.1%
960000 4
0.3%
1000000 23
1.9%
1040000 1
0.1%
1050000 1
0.1%
1108440 1
0.1%
1115498 1
0.1%
1200000 19
1.5%
1240000 1
0.1%
1250000 1
0.1%
1260000 1
0.1%
1300000 1
0.1%
1340000 1
0.1%
1347500 1
0.1%
1373890 1
0.1%
1378790 1
0.1%
1400000 1
0.1%
1420000 1
0.1%
1440000 5
0.4%
1453989 1
0.1%
1470000 1
0.1%
1500000 18
1.5%
1560000 1
0.1%
1584000 1
0.1%
1600000 3
0.2%
1650000 1
0.1%
1680000 2
0.2%
1700000 4
0.3%
1702509 1
0.1%
1773000 1
0.1%
1800000 4
0.3%
1808000 1
0.1%
1870000 1
0.1%
1875000 1
0.1%
1920000 3
0.2%
2000000 16
1.3%
2039534 1
0.1%
2050000 1
0.1%
2100000 2
0.2%
2112000 1
0.1%
2160000 1
0.1%
2200000 1
0.1%
2244000 1
0.1%
2257105 1
0.1%
2273000 1
0.1%
2300000 1
0.1%
2340000 1
0.1%
2355240 1
0.1%
2389445 1
0.1%
2400000 2
0.2%
2500000 5
0.4%
2640000 2
0.2%
2750000 1
0.1%
2800000 2
0.2%
2880000 2
0.2%
3000000 15
1.2%
3184000 1
0.1%
3300000 1
0.1%
3300611 1
0.1%
3500000 3
0.2%
3536579 1
0.1%
3600000 6
0.5%
3750000 2
0.2%
3800000 1
0.1%
3900000 2
0.2%
3925400 2
0.2%
4000000 10
0.8%
4129270 1
0.1%
4212000 1
0.1%
4500000 6
0.5%
4800000 1
0.1%
5000000 11
0.9%
5040000 1
0.1%
5056805 1
0.1%
5100000 1
0.1%
5600000 1
0.1%
6000000 12
1%
6300000 1
0.1%
6500000 1
0.1%
6846757 1
0.1%
7000000 3
0.2%
7108925 1
0.1%
7200000 1
0.1%
7250000 1
0.1%
7395053 1
0.1%
7691919 1
0.1%
7900000 1
0.1%
8000000 7
0.6%
8197000 1
0.1%
8400000 1
0.1%
8500000 2
0.2%
8800000 1
0.1%
9000000 4
0.3%
9200000 1
0.1%
9600000 1
0.1%
9844000 1
0.1%
10000000 11
0.9%
10300000 1
0.1%
11110000 1
0.1%
12000000 5
0.4%
12500000 1
0.1%
12700000 1
0.1%
13000000 2
0.2%
13234646 1
0.1%
13965472 1
0.1%
14000000 2
0.2%
15000000 7
0.6%
15000055 1
0.1%
15600000 1
0.1%
15700000 1
0.1%
16000000 3
0.2%
16785454 1
0.1%
17200000 1
0.1%
18000000 1
0.1%
18426126 1
0.1%
18500000 1
0.1%
19200000 1
0.1%
20000000 5
0.4%
21600000 1
0.1%
23000000 1
0.1%
24000000 3
0.2%
25000000 4
0.3%
27784963 1
0.1%
28800000 1
0.1%
29000000 1
0.1%
30000000 8
0.6%
31800000 1
0.1%
32000000 3
0.2%
35000000 2
0.2%
39254000 1
0.1%
40000000 3
0.2%
43200000 1
0.1%
45000000 1
0.1%
50000000 1
0.1%
51000000 1
0.1%
51379261 1
0.1%
52500000 1
0.1%
53000000 1
0.1%
59000000 1
0.1%
60000000 2
0.2%
61500000 1
0.1%
63000000 1
0.1%
72000000 2
0.2%
75000000 1
0.1%
78000000 1
0.1%
80000000 1
0.1%
87000000 1
0.1%
90000000 4
0.3%
94336929 1
0.1%
98515000 1
0.1%
110000000 1
0.1%
117762000 1
0.1%
118757485 1
0.1%
120000000 1
0.1%
126300000 1
0.1%
136000900 1
0.1%
145000000 1
0.1%
150000000 1
0.1%
152000000 1
0.1%
300000000 1
0.1%
324000000 1
0.1%
340000000 1
0.1%
350000000 1
0.1%
400000000 1
0.1%
1068000000 1
0.1%
1700000000 1
0.1%
Sysmiss 344
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.
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