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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / NIC_2003-2016_ES-P_V01_M / variable [F2]
enterprise_surveys

Enterprise Survey 2003-2006-2010-2016, Panel Data

Nicaragua, 2003 - 2017
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Reference ID
NIC_2003-2016_ES-P_v01_M
DOI
https://doi.org/10.48529/z642-3c35
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 06, 2018
Last modified
Mar 06, 2018
Page views
50890
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  • Nicaragua_2003_2006_2010_2016_test

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

Data file: Nicaragua_2003_2006_2010_2016_test

Overview

Valid: 1093
Invalid: 506
Type: Discrete
Decimal: 0
Start: 762
End: 771
Width: 10
Range: -9 - 1160000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year 2015, how much did this establishment spend on purchases of new or used machinery, vehicles, and equipment?
- New or used machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know (spontaneous) 187
17.1%
-8 6
0.5%
0 444
40.6%
70.1688919067383 1
0.1%
91.2195587158203 1
0.1%
98.236442565918 1
0.1%
105.25333404541 1
0.1%
140.337783813477 4
0.4%
190.087524414063 1
0.1%
210.50666809082 2
0.2%
245.591110229492 1
0.1%
280.675567626953 3
0.3%
312.953247070313 1
0.1%
350.844451904297 1
0.1%
421.013336181641 2
0.2%
456.097778320313 1
0.1%
466.745910644531 1
0.1%
491.182220458984 1
0.1%
500 1
0.1%
561.351135253906 1
0.1%
666.604431152344 1
0.1%
701.688903808594 4
0.4%
736.773315429688 1
0.1%
785.891540527344 1
0.1%
842.026672363281 1
0.1%
982.364440917969 1
0.1%
1052.53332519531 4
0.4%
1122.70227050781 1
0.1%
1192.87109375 1
0.1%
1403.37780761719 4
0.4%
1473.54663085938 1
0.1%
1500 1
0.1%
1684.05334472656 1
0.1%
1754.22229003906 2
0.2%
1894.56005859375 1
0.1%
2000 2
0.2%
2058.75512695313 1
0.1%
2105.06665039063 2
0.2%
2315.5732421875 1
0.1%
2800 1
0.1%
2806.75561523438 3
0.3%
2947.09326171875 1
0.1%
3000 1
0.1%
3157.60009765625 2
0.2%
3543.52880859375 1
0.1%
3648.7822265625 1
0.1%
3688.07690429688 1
0.1%
4210.13330078125 2
0.2%
4350 1
0.1%
4777.4736328125 1
0.1%
5000 2
0.2%
5062 1
0.1%
5400 1
0.1%
5500 1
0.1%
5613.51123046875 1
0.1%
5675 1
0.1%
6000 1
0.1%
6455.53759765625 1
0.1%
6559.07275390625 1
0.1%
7000 2
0.2%
7016.88916015625 1
0.1%
8000 1
0.1%
9000 1
0.1%
9600 1
0.1%
10000 3
0.3%
10410 1
0.1%
12000 4
0.4%
12180 1
0.1%
12630.400390625 1
0.1%
13600 1
0.1%
14400 1
0.1%
15000 3
0.3%
16113.1630859375 1
0.1%
17400 1
0.1%
17542.22265625 1
0.1%
19000 1
0.1%
19800 1
0.1%
20000 7
0.6%
21690 1
0.1%
22000 1
0.1%
25000 2
0.2%
26000 1
0.1%
30000 5
0.5%
30114.56640625 1
0.1%
31884.744140625 1
0.1%
32000 3
0.3%
33000 1
0.1%
33600 1
0.1%
34600 1
0.1%
34800 1
0.1%
35000 1
0.1%
35084.4453125 1
0.1%
35600 1
0.1%
36000 1
0.1%
37840 1
0.1%
40000 1
0.1%
43043 1
0.1%
44625 1
0.1%
45000 2
0.2%
49118.22265625 1
0.1%
50000 4
0.4%
50307.375 1
0.1%
52500 1
0.1%
52626.66796875 1
0.1%
54000 1
0.1%
54264 1
0.1%
56000 1
0.1%
60000 4
0.4%
68750 1
0.1%
70000 1
0.1%
72000 2
0.2%
80000 3
0.3%
87000 1
0.1%
90000 1
0.1%
98400 1
0.1%
100000 3
0.3%
104000 1
0.1%
106800 1
0.1%
110000 1
0.1%
111000 1
0.1%
120000 1
0.1%
126000 1
0.1%
133125 1
0.1%
136000 1
0.1%
137500 1
0.1%
140337.78125 2
0.2%
144000 1
0.1%
147518 1
0.1%
150000 1
0.1%
150500 1
0.1%
160000 1
0.1%
173294.359375 1
0.1%
173500 1
0.1%
174000 1
0.1%
180000 1
0.1%
181074.3125 1
0.1%
195000 1
0.1%
197878 1
0.1%
200000 1
0.1%
205257 1
0.1%
220000 1
0.1%
224000 1
0.1%
225000 1
0.1%
228000 1
0.1%
231625 1
0.1%
236500 1
0.1%
244800 1
0.1%
250000 3
0.3%
250550 1
0.1%
260000 1
0.1%
266250 1
0.1%
270000 1
0.1%
276000 1
0.1%
280000 3
0.3%
290000 1
0.1%
292500 1
0.1%
297000 1
0.1%
300000 7
0.6%
304500 1
0.1%
310834.34375 1
0.1%
320000 1
0.1%
330600 1
0.1%
334000 1
0.1%
350000 3
0.3%
356000 1
0.1%
360000 3
0.3%
399000 1
0.1%
400000 2
0.2%
442000 1
0.1%
448000 1
0.1%
450000 2
0.2%
450660 1
0.1%
467500 1
0.1%
495000 1
0.1%
500000 15
1.4%
500560.15625 1
0.1%
504000 1
0.1%
522267 1
0.1%
540000 2
0.2%
546000 1
0.1%
550000 3
0.3%
559700 1
0.1%
560000 2
0.2%
575972.1875 1
0.1%
585300 1
0.1%
600000 4
0.4%
612500 1
0.1%
620437 1
0.1%
675000 1
0.1%
680000 1
0.1%
688462 1
0.1%
700000 3
0.3%
704594 1
0.1%
708000 1
0.1%
718200 1
0.1%
720000 3
0.3%
728000 1
0.1%
735314 1
0.1%
761000 1
0.1%
770000 1
0.1%
784000 1
0.1%
785400 1
0.1%
787800 1
0.1%
796274 1
0.1%
800000 4
0.4%
810000 1
0.1%
830000 1
0.1%
840000 1
0.1%
850000 1
0.1%
885000 1
0.1%
900000 1
0.1%
960000 1
0.1%
997500 1
0.1%
1000000 10
0.9%
1008900 1
0.1%
1065000 1
0.1%
1100000 1
0.1%
1121000 1
0.1%
1148000 1
0.1%
1160000 2
0.2%
1200000 4
0.4%
1238000 1
0.1%
1260000 2
0.2%
1300000 2
0.2%
1305000 1
0.1%
1350000 1
0.1%
1375000 1
0.1%
1440000 2
0.2%
1450000 1
0.1%
1453500 1
0.1%
1500000 4
0.4%
1535700 1
0.1%
1680000 1
0.1%
1700000 2
0.2%
1754500 1
0.1%
1757000 1
0.1%
1800000 6
0.5%
1805765 1
0.1%
1870000 1
0.1%
1900000 1
0.1%
1925000 1
0.1%
1960000 1
0.1%
1980000 1
0.1%
2000000 4
0.4%
2030000 1
0.1%
2100000 2
0.2%
2160000 1
0.1%
2171000 1
0.1%
2376000 1
0.1%
2400000 1
0.1%
2500000 2
0.2%
2600000 2
0.2%
2652000 1
0.1%
2659334 1
0.1%
2853288 1
0.1%
3000000 7
0.6%
3477600 1
0.1%
3600000 3
0.3%
4000000 2
0.2%
4051315.25 1
0.1%
4125000 1
0.1%
4200000 1
0.1%
4350000 1
0.1%
4500000 3
0.3%
4616538 1
0.1%
4730000 1
0.1%
5000000 2
0.2%
5164617 1
0.1%
5500000 1
0.1%
5775000 1
0.1%
5800000 1
0.1%
6000000 1
0.1%
6500000 1
0.1%
7141477 1
0.1%
7280000 1
0.1%
7441131 1
0.1%
8250000 1
0.1%
9000000 1
0.1%
9365815 1
0.1%
10000000 1
0.1%
10200000 1
0.1%
10800000 1
0.1%
11000000 2
0.2%
11300000 1
0.1%
11500000 1
0.1%
11970000 1
0.1%
14000000 2
0.2%
15788325 1
0.1%
18000000 1
0.1%
19546000 1
0.1%
20000000 2
0.2%
22000000 1
0.1%
27000000 1
0.1%
28052348 1
0.1%
29000000 1
0.1%
29883281 1
0.1%
37800000 1
0.1%
40000000 1
0.1%
40684069 1
0.1%
50568000 1
0.1%
60000000 1
0.1%
70000000 1
0.1%
84000000 1
0.1%
85500000 1
0.1%
145000000 1
0.1%
147000000 1
0.1%
150000000 1
0.1%
200000000 1
0.1%
300000000 1
0.1%
324000000 1
0.1%
1160000000 1
0.1%
Sysmiss 506
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.
Interviewer instructions
The category machinery, vehicles and equipment is the annual investment of anything used directly by this establishment to produce. Vehicles include transport and loading and unloading vehicles. It should include not only the purchase cost but also all other costs involved in the investment such as transport of the item and installation cost. Computer hardware should be considered under equipment Land, buildings is the annual investment in land, buildings and structures used directly or indirectly by this establishment to produce goods and services. Included are expenditures for new and used structures (including those under construction at the end of last complete fiscal year), fixtures and equipment, additions, major alterations and improvements to existing facilities, and capitalized repairs.
Question post text
IF 0, GO TO QUESTION N.5B
-9 -> GO TO QUESTION N.5B
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