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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / COL_2017_ES_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2017

Colombia, 2017 - 2018
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Reference ID
COL_2017_ES_v01_M
DOI
https://doi.org/10.48529/hfyx-3n90
Producer(s)
The World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Nov 27, 2018
Last modified
Nov 27, 2018
Page views
60506
Downloads
1730
  • Study Description
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  • Data files
  • colombia_2017_full_data.dta

How Much Spent On R&D, Either In-House Or External? (h9)

Data file: colombia_2017_full_data.dta

Overview

Valid: 332
Invalid: 661
Minimum: -9
Maximum: 10000000000
Type: Discrete
Decimal: 0
Range: -9 - 10000000000
Format: Numeric

Questions and instructions

Literal question
H. INNOVATION
During last fiscal year, how much did this establishment spend on formal research and development activities, either in-house or contracted with other companies?
Categories
Value Category Cases
-9 Don't know (spontaneous) 26
2.6%
0 None (spontaneous) 1
0.1%
1000000 4
0.4%
2000000 3
0.3%
3000000 4
0.4%
4000000 6
0.6%
5000000 11
1.1%
6000000 3
0.3%
7000000 1
0.1%
8000000 3
0.3%
9000000 1
0.1%
10000000 22
2.2%
12000000 5
0.5%
14000000 1
0.1%
15000000 22
2.2%
16000000 1
0.1%
17000000 1
0.1%
18000000 2
0.2%
20000000 20
2%
24000000 3
0.3%
25000000 7
0.7%
26000000 1
0.1%
27000000 1
0.1%
30000000 13
1.3%
35000000 4
0.4%
40000000 8
0.8%
42000000 1
0.1%
50000000 35
3.5%
55000000 1
0.1%
57000000 1
0.1%
60000000 6
0.6%
70000000 4
0.4%
75000000 1
0.1%
80000000 9
0.9%
90000000 1
0.1%
100000000 21
2.1%
105000000 1
0.1%
110000000 1
0.1%
120000000 6
0.6%
150000000 3
0.3%
160000000 1
0.1%
180000000 1
0.1%
200000000 12
1.2%
300000000 13
1.3%
350000000 3
0.3%
354000000 1
0.1%
400000000 1
0.1%
500000000 4
0.4%
600000000 2
0.2%
629000000 1
0.1%
650000000 2
0.2%
700000000 1
0.1%
800000000 1
0.1%
840000000 1
0.1%
1000000000 5
0.5%
1200000000 2
0.2%
1300000000 1
0.1%
1400000000 1
0.1%
1500000000 3
0.3%
2000000000 1
0.1%
2340000000 1
0.1%
2500000000 1
0.1%
3000000000 2
0.2%
4500000000 1
0.1%
5000000000 1
0.1%
7000000000 2
0.2%
10000000000 2
0.2%
NA 661
66.6%
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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