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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F6]
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Enterprise Survey 2009

Nepal, 2009
Reference ID
NPL_2009_ES_v01_M_WB
Producer(s)
World Bank,
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
541
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • Average GE on
    all BEDA loans
    with
    disbursements
    during each
    given year (Avg
    BEDA GE)
  • Bilateral Debt
    forgiveness
    used to adjust
    bilateral
    grants (B
    Debtf)
  • Bilateral
    grants used to
    construct BEDA
    (B Grants)
  • Total
    disbursements
    on bilateral
    EDA loans (BEDA
    Disb)
  • Bilateral grant
    equivalents
    used to
    construct BEDA
    (BEDA GQ)
  • Bilateral EDA
    (BEDA)
  • Memo item,
    bilateral
    technical
    assistance
    (Memo BTA)
  • Average GE on
    all EDA loans
    with
    disbursements
    during each
    given year (Avg
    EDA GE)
  • Bilateral Debt
    forgiveness
    used to adjust
    bilateral
    grants (B
    Debtf)
  • Total
    disbursements
    on EDA loans
    (EDA Disb)
  • Grant
    equivalents
    used to
    construct EDA
    (EDA GQ)
  • Effective
    Development
    Assistance
    (EDA)
  • Grants used to
    construct EDA
  • Memo item,
    total technical
    assistance
    (Memo TA)
  • Average GE on
    all MEDA loans
    with
    disbursements
    during each
    given year (Avg
    MEDA GE)
  • Multilateral
    grants used to
    construct MEDA
    (M Grants)
  • Total
    disbursements
    on
    Multilateral
    EDA loans (MEDA
    Disb)
  • Multilateral
    grant
    equivalents
    used to
    construct MEDA
    (MEDA GQ)
  • Multilateral
    Effective
    Development
    Assistance
    (MEDA)
  • Memo item,
    multilateral
    technical
    assistance
    (Memo MTA)
CSV JSON

1995 (V23)

Data file: Bilateral EDA (BEDA)

Overview

Valid: 134
Invalid: 0
Type: Discrete
Decimal: 2
Range: -
Format:

Questions and instructions

Categories
Value Category
-46.2182582299826
-18.2195307373068
-17.9997794027243
-15.1578211578026
-14.7529179382788
-10.6663344527108
-0.428586983256329
0.30941935379757
0.389791643121519
0.496840472152509
0.513234044703298
0.660250043256179
0.700012099308562
2.19612568570549
3.19490798416707
4.64388718027095
4.80722266352525
6.01467488764332
6.24386869882719
7.94151444287615
8.1751217797989
9.74026369223564
10.13
10.6948679719517
11.23
13.14
13.1925939933785
13.29
13.720764873211
14
14.0809727282697
15.2693246202276
15.64
15.73
15.85341029842
16.5064583606878
17.7803457973542
18.041132370979
18.6749225445703
19.06
19.6576991063056
20.4487168536052
21.6904613199738
21.8445174644133
22.0024691017339
23.3159750156739
24.9158284891315
27.04
28.144716683918
29.2239720311026
32.0070003783173
32.0947348182721
32.1698099155405
35.5696072386626
37.8828225012259
39.190572111705
40.4531262087132
40.737129079808
41.4078548873662
41.4443477102985
43.507542327558
43.6610680339618
44.8818582299967
49.5570638704922
52.8539808138475
54.87
61.9952594017897
64.03
65.8244914069262
66.24
67.2007510721346
71.6557386809337
73.1223990550686
73.8292625942162
75.6933101967979
79.3351975253553
79.7739355895632
83.4893461819099
84.93
89.037677383771
92.3069206917141
92.5845201802477
93.158367890939
96.3397409567494
97.37
99.46
101.38
110.65
111.07
111.97
116.185186566566
116.752707008364
129.229947203193
130.854337415522
138.622430188582
153.016246820324
154.944061716971
155.696009551713
158.482368741444
168.153320913908
170.598329824596
179.524681657759
207.48291436515
209.389006698055
218.524736221268
231.207773988482
233.1817785877
246.794698781729
247.899550565456
256.065197930005
257.571420823304
270.045961645188
277.047590221225
286.084268182491
287.906055751693
295.47
313.952736613808
326.135792748935
362.161585003048
374.781457124753
382.504105744275
389.506280917286
401.220385427449
421.310909863561
462.275157932152
477.15492729568
589.786408806197
639.525900564534
642.214306414265
712.215045968601
830.381340678296
1033.85724583594
3351.7607422913
20149.1134029289
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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