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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F17]
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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
692
  • 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

1990 (V18)

Data file: Effective Development Assistance (EDA)

Overview

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

Questions and instructions

Categories
Value Category
-337.56420287284
-98.6811292756601
-54.1519283732016
-51.2564474894592
-47.9998022540471
-42.5366059945013
-6.56415983594972
-1.29043681765547
-1.28664216649696
0
0.368792067216915
1.2857841040084
1.3
3.15967458475081
5.28131711394287
5.48951048157532
7.00699839947925
7.69434555131672
7.76910416918764
8.24916292328755
8.28928805306821
10.3425362606217
11.2931443742555
13.1388253181207
13.5097125993276
14.0472332085378
14.3839269888005
16.7841228425348
19.2701277846717
22.62
22.6493650782854
24.065197276003
24.1355454655241
26.3353620676243
26.7554055477017
27.1942271447376
30.1721382913171
31.3290929219089
37.792423661688
38.4776236941748
39.8250251511671
43.6304586516472
44.704204395882
49.833995144852
59.6
61.5703226571065
65.8319561860088
67.6909381471696
71.2575208304287
76.0468113716463
81.6536187307298
82.6037173915968
82.8041171817364
87.3261791942886
88.4298786832697
90.480780989104
96.7944338746387
101.804815443203
108.580338572937
115.152577863562
125.948293567048
131.583549799024
143.877466141517
146.706757203483
154.524461054224
156.272494202307
167.218172614927
171.087488654368
177.977040190051
178.020249262854
183.769192437487
185.938119085341
186.988386317273
188.689471219125
190.214379192034
207.887285748966
208.878858122915
209.682601896403
210.916284578258
216.002339595597
222.283302537169
223.426537346792
244.128200289382
257.828125563607
279.311853838811
284.557440593291
287.304246925813
299.08259352547
304.674235613698
318.665904555643
321.970091044558
333.719295957897
337.46603733765
338.375236257023
343.920929580334
353.245337284642
355.509457717423
356.114140071789
409.362434734622
460.427723628564
464.220267546391
503.573769977624
519.017117606182
568.071432510991
568.800266278923
620.245618454366
637.699620761306
660.887883049682
725.680490352283
777.490039060156
812.18372908607
831.297659910752
837.027234175682
870.015545037034
1045.80501336725
1050.24163806788
1568.17404347839
1619.57936795579
4533.01965770783
30441.0667330268
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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