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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
562
  • 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

1990 (V18)

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
0.012
0.094
1.271
1.346
2.345
2.396
2.844
3.26
3.381
3.445
3.631
3.655
4
4.531
5.148
5.179
5.858
6.005
6.331
6.992
7.204
7.567
8.312
8.932
9.142
10.844
13.236
13.738
14.243
15
21.759
21.859
23.131
23.214
27.017
27.302
30
30.282
30.36
30.505
36.188
36.771
37.737
39.232
43.683
44.094
45.015
45.681
55.534
55.636
64.103
65.651
67.992
68.232
71.896
77.647
78.627
79.839
83.845
84.331
89.388
89.556
89.711
91.076
102.03
103.5
105.964
107.91
123.576
135.191
138.778
143.056
143.362
150.369
151.802
163.86
173.026
179.947
185.108
189.753
199.682
200.912
221.665
227.44
234.29
235.107
237.317
262.555
270.603
273.106
286.849
294.97
335.242
430.049
430.951
459.995
542.184
558.674
582.817
611.859
713.859
721.876
772.915
854.61
909.657
983.946
1007.023
1034.801
1082.86
1157.703
1795.837
2210.481
3646.702
28072.605
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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