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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F17]
central

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
723
  • 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

1989 (V17)

Data file: Effective Development Assistance (EDA)

Overview

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

Questions and instructions

Categories
Value Category
-97.9306603073299
-32.5836845146466
-24.993826750206
-22.9926795799826
-19.6503362954154
-9.89507840265894
-5.39461949623262
-5.26658010424011
-0.634940223785509
-0.0557337930412963
-0.0280722307827566
0
0.0400000000000009
0.38
1.45852510608512
1.70695422745611
2.13564790713651
2.94322219595758
4.0464140670241
5.57527717467941
6.19125905717551
6.2787061790509
8.93010277555599
9.30670311132101
9.3618011396003
9.37730713084287
9.85000000000001
9.8997288135305
10.2892259536185
12.81
12.9359713691913
13.2565833562123
15.5227577478766
18.0449917876123
18.5680619828243
19.0281409881385
19.0863893846919
20.457178965324
21.8969146686381
22.9286324358407
24.2555837413006
26.89193490262
30.493004491572
33.0933987796938
33.2007140089808
35.398642825592
35.4068589834774
37.1827006443791
37.2052807457802
39.6705284388792
39.7508354034642
48.2391167576692
52.5470431490902
52.8582187952558
57.1141159543345
69.8892966502115
72.6023659366109
73.5121831185485
74.2327170982658
79.7983740424143
82.022733546802
91.9894539007429
93.2229767080488
109.77877617935
110.900288931085
120.445234093914
121.030059444487
121.172402021941
122.457211069633
124.234731302931
131.358783913058
139.2723915201
141.742001720555
142.956330494221
143.87925654036
156.051084250638
157.738876418569
159.088058348202
159.195388069484
164.720104759958
164.885555573204
170.100635165454
193.731752701102
195.599615123338
200.929875581352
209.926343968859
230.89288672681
231.523071849025
234.335556351782
235.322921767046
240.82424374983
260.764693742311
261.822644731339
280.553350718028
280.636633305249
284.265213386486
284.956220014891
296.233099184237
300.996650827614
302.782557246378
338.557903904854
367.52267544273
371.469598753054
452.338472855454
489.68274071955
505.667686260858
516.426670540179
521.12348883529
522.562070056677
553.119752997676
619.92391043884
653.896924468239
663.384761339476
709.149380078507
866.345184424188
962.253746306655
1034.244327756
1377.57687347117
1507.06683315945
21512.8758670525
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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