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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F14]
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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
612
  • 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

1977 (V5)

Data file: Grant equivalents used to construct EDA (EDA GQ)

Overview

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

Questions and instructions

Categories
Value Category
-4.77645025334158
-1.23664267529487
-0.344133257581312
-0.0606761531530604
0
0.145970572614965
0.170529997793181
0.181095830431239
0.249631402418571
0.287810734079355
0.340803928159166
0.364519727897809
0.44136144155928
0.536370598686377
0.587527146279138
0.637424027276187
0.774020811837012
0.781606133448718
0.967593266200041
0.971010618437817
1.12049243449928
1.12903111985143
1.14672486183225
1.17096192284166
1.64855875852423
2.02580423158826
2.08585900553013
2.30281846569724
2.56016218804201
2.71365798466728
3.31086448546962
3.64614514657934
3.70405386220189
3.80113748488867
3.86995474148982
4.26186109129893
4.95892303773113
5.0349146075558
5.52381021181934
5.58087829035952
5.91283663436867
6.45764458444546
6.74010544813467
6.85032092849619
7.17472535420984
7.80370275648391
8.68311873557596
8.77358533843224
9.28988709355275
9.31148294991275
10.0797013229837
10.0805305656452
10.4865215306052
10.6409852370175
11.3591976807441
11.5729458893458
12.0812255599453
12.6463447706403
13.9474825123733
14.0463980768445
14.1470081316799
15.7321087328557
16.0159335947912
16.4913981434185
16.9816734726365
17.3705552598286
18.8621280637753
18.9994289191697
19.2537851429534
19.6725119146239
20.1805121565198
20.6847675823868
21.1534813140249
22.2092032671425
25.9430764998063
26.3692606334645
29.7555863232152
34.0837157798476
34.609194546283
35.4579266028707
35.5110850698547
39.3777126799721
39.7457455919086
40.3087241022373
41.6069715858374
47.1450001377145
48.1989273955282
51.9092892881832
60.8887514690947
66.5547978072615
67.1046054625464
68.5305589924545
70.4347476580553
82.0527046173168
84.7574419304741
91.8265822036733
94.4266757922514
96.3165927936898
109.868405871759
118.164645213504
140.478626518919
210.509090350809
217.735717104484
320.655815481308
514.101873583086
555.246012202521
4013.98508778571
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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