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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
580
  • 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

1995 (V23)

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
0.16
0.532
0.957
1.406
2.2
2.221
2.327
2.815
3.532
3.543
3.697
5.827
6.204
7.472
7.906
9.594
9.959
10.788
12.392
12.558
13.673
14.456
14.526
14.9
15.198
18.028
18.731
19.537
21.189
21.9
23.177
27.932
30.313
32.612
37.981
39.245
40.502
40.571
50.76
53.966
54.814
55.03
58.257
58.357
58.679
58.872
72.223
77.159
77.864
79.775
81.449
82.377
85.059
86.745
87.167
89.521
92.644
95.58
102.365
102.983
103.042
107.106
107.968
108.92
109.344
109.546
109.842
122.064
123.429
124.512
125.379
129.096
132.811
135.179
145.875
148.461
148.73
153.584
156.694
165.241
165.505
170.224
171.123
177.103
187.253
189.993
191.686
192.023
196.736
201.53
209.563
210.018
219.221
220.229
225.758
229.278
245.783
249.756
266.657
267.245
282.383
290.849
305.47
327.658
357.98
396.549
406.026
432.517
466.311
466.915
482.743
492.58
520.629
524.857
583.762
622.265
630.718
855.492
925.012
928.757
1164.468
1257.434
1517.192
1777.622
1935.536
1942.001
2668.693
2838.016
34366.149
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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