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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
600
  • 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

1988 (V16)

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
0.21
1.567
1.756
1.896
2.196
2.935
3.091
3.133
3.626
3.755
3.868
3.968
4.022
5.857
6.087
6.903
7.445
7.526
7.738
7.754
9.817
10.3
12.03
12.138
12.52
13.183
14.568
15.086
16.306
17.257
19.147
20.893
22.995
24.957
27.457
28.678
33.122
34.514
34.941
35.935
36.594
41.051
41.333
45.938
47.887
52.855
54.355
54.725
58.467
62.816
64.74
67.256
69.687
74.715
78.303
80.518
84.08
84.428
86.576
88.7
91.614
92.582
93.756
95.122
97.866
100.795
101.533
102.464
104.252
105.11
107.487
112.699
118.532
120.671
124.613
128.99
131.082
145.369
146.83
154.857
161.557
168.892
178.085
191.234
201.392
201.543
234.255
239.687
252.162
264.523
280.894
286.943
318.415
321.753
340.267
351.613
424.474
462.468
511.231
524.122
546.547
577.696
610.334
701.958
716.64
771.611
1123.694
1147.323
1293.441
1633.4
2199.586
2625.407
23915.572
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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