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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F26]
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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
515
  • 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

1986 (V14)

Data file: Total disbursements on Multilateral EDA loans (MEDA Disb)

Overview

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

Questions and instructions

Categories
Value Category
0
0.749
0.84
0.912
1.283
1.587
1.827
2.061
2.528
2.985
3.187
3.789
4.85
5.424
5.527
5.692
5.997
6.547
7.045
7.363
8.478
10.693
12.238
12.923
14.338
14.433
14.87
15.043
16.163
18.057
18.06
19.007
19.027
22.305
23.034
25.376
26.452
26.528
27.409
28.088
28.225
28.867
29.09
29.894
32.478
32.858
33.389
34.64
44.448
44.841
50.286
52.988
57.686
58.935
60.674
62.154
64.994
66.735
69.303
69.359
71.507
71.675
72.481
75.039
77.21
83.518
85.599
87.376
89.552
90.637
96.996
98.194
98.865
102.143
106.864
111.522
113.339
115.329
118.848
137.4
138.527
138.712
147.138
148.814
149.136
169.238
184.507
201.538
201.603
218.007
238.174
264.704
298.503
313.832
340.551
342.859
353.755
414.242
438.022
487.244
493.831
514.497
544.856
548.016
566.261
590.891
620.267
734.826
885.628
1048.268
1313.791
1433.221
1883.789
19665.901
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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