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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
604
  • 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

1994 (V22)

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
1.367
1.378
1.575
2.62
2.805
4.854
5.183
5.586
6.61
6.707
6.822
7.668
8.152
8.872
9.648
9.881
10.598
10.603
10.951
11.757
11.922
12.085
12.171
12.211
13.117
14.393
14.752
14.779
15.832
16.909
17.477
19.994
21.266
21.669
25.067
27.975
33.326
34.447
37.319
41.619
43.482
45.74
45.805
48.139
49.255
51.842
53.245
54.771
58.219
60.159
62.293
65.061
66.34
66.776
66.885
70.155
70.296
72.621
78.108
79.234
81.342
92.644
98.934
100.834
101.77
102.624
111.069
112.385
112.634
114.338
116.923
123.278
125.31
139.606
142.717
144.182
149.743
151.441
151.825
161.122
161.938
169.706
184.13
192.203
195.166
197.52
197.784
204.783
214.874
215.296
224.569
235.503
240.676
247.307
252.32
253.802
257.801
267.546
276.326
280.872
292.283
295.054
303.901
311.835
330.955
338.386
343.495
364.744
391.646
474.689
481.357
487.154
499.468
598.642
603.694
617.255
639.352
672.29
701.269
752.412
787.802
821.641
989.734
1282.252
1730.971
1857.77
2263.089
2560.977
30459.353
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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