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    Home / Central Data Catalog / NGA_2016-2019_GEMIE-IO_V01_M / variable [F16]
central

Growth & Employment Program - Insourcing and Outsourcing Impact Evaluation Data 2016-2019

Nigeria, 2016 - 2019
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Reference ID
NGA_2016-2019_GEMIE-IO_v01_M
Producer(s)
David McKenzie, Stephen Anderson
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
77527
Downloads
519
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • publicuseround1.dta
  • publicuseround2.dta
  • trainerhumancapital.dta
  • consultanthumancapital.dta
  • gemprovidersurveys.dta
  • informationbaseline.dta
  • FullApplicationSample.dta
  • takeupusage.dta
  • trainingusage.dta
  • bdsactivities.dta
  • iomonitoringdata.dta
  • iotasks.dta
  • SocialMediaRatings.dta
  • typeofio.dta
  • CleanedFU1.dta
  • CleanedFU2.dta
  • SocialMediaScores.dta
  • ConsultantsHumanCapital.dta
  • IOHumanCapital.dta
  • TrainersHumanCapital.dta
  • Figure1data.dta
  • Figure2data.dta
  • TableA2_1data.dta
  • TableA2_2data.dta
  • TableA8_1data.dta
  • Tablep4.dta
  • Tablep5.dta
  • Tablep6.dta
  • Tablep7.dta
  • Tablep9.dta
  • Nigeriamainpvals.dta
  • Nigeriamechpvals.dta
  • adjustedmainqvals.dta
  • adjustedmechqvals.dta

4. Vehicles used in the business (G15_b_4)

Data file: CleanedFU2.dta

Overview

Valid: 631
Invalid: 122
Minimum: 0
Maximum: 3000000
Type: Discrete
Decimal: 2
Start: 5944
End: 5953
Width: 10
Range: 0 - 3000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 452
71.6%
2000 1
0.2%
4000 1
0.2%
4500 1
0.2%
6000 1
0.2%
7000 2
0.3%
8000 4
0.6%
10000 13
2.1%
12000 1
0.2%
15000 16
2.5%
20000 23
3.6%
24000 1
0.2%
25000 5
0.8%
27000 1
0.2%
30000 16
2.5%
35000 2
0.3%
40000 10
1.6%
48000 1
0.2%
50000 11
1.7%
60000 5
0.8%
65000 2
0.3%
70000 3
0.5%
75000 1
0.2%
80000 3
0.5%
85000 1
0.2%
87000 1
0.2%
100000 9
1.4%
120000 5
0.8%
140000 1
0.2%
150000 5
0.8%
157000 1
0.2%
200000 8
1.3%
210000 1
0.2%
225000 1
0.2%
250000 5
0.8%
270000 1
0.2%
300000 4
0.6%
400000 1
0.2%
450000 3
0.5%
500000 1
0.2%
520000 1
0.2%
540000 1
0.2%
600000 1
0.2%
900000 1
0.2%
1200000 1
0.2%
2500000 1
0.2%
3000000 1
0.2%
Sysmiss 122
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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