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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F28]
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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
699
  • 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

1987 (V15)

Data file: Multilateral Effective Development Assistance (MEDA)

Overview

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

Questions and instructions

Categories
Value Category
-85.5700496572285
-67.1022710406755
-66.8965930023177
-62.2347666958051
-60.8114820602165
-47.2862974400403
-44.5601766842259
-39.8382318399103
-29.8047766475128
-22.8525643539556
-17.3567162610918
-12.5804952589033
-6.64579983343149
-6.268573384687
-5.85303067401985
-3.36405739113553
-3.34234486512678
-2.9375331840235
-1.13047894280846
-0.0234545955070564
-0.00157485160976737
0
0.01
0.32
0.630221092460883
0.889209516920749
1.21871414952039
1.65457089698174
1.70807045971771
1.76446220083568
2.10193284674883
2.18
2.22439314192443
2.90985108230037
3.43376888524503
3.62480506742601
4.1433716276097
4.24624839838622
4.44904094707967
4.97099795862398
5.07546987429938
5.30599324754522
5.49043968799014
7.64929063417122
8.60830608638511
9.03975132624912
9.09627902157964
9.18237059868134
9.41125544054369
9.46206189481147
10.4367158322348
10.5285246283095
11.0148645155423
11.1957210800849
11.4652078266401
11.7316045139468
13.1152630617088
13.8122942177631
13.9494188786714
15.5887478526453
15.6830138425374
16.1243734473638
16.418693551521
17.0433521844956
17.447043362487
18.031904233208
18.042232167609
18.3068959544021
18.4088812185882
18.7870552390011
19.8506854175245
19.9871501284538
24.7768251448675
25.0433342224457
25.0710744882115
25.0976619490408
26.1486507464356
28.9796305449102
33.9766197555028
35.5420984627295
36.6587039375345
42.5368415977417
43.1291412964962
43.8332755558021
45.033176124329
58.5096730725097
58.7553877397466
60.7791540579036
61.4076449371148
66.7482151234513
69.4291965732514
71.9719853426082
73.3078030896094
74.2749661934894
75.3973963982357
80.1081476746665
87.1421601366156
94.8019110739595
95.2804629330329
101.912512702975
103.540729085173
109.550472234583
115.666707815469
125.90794833955
128.851805411637
134.724047720087
135.251027594067
154.938271737199
165.314691043894
217.93546796871
236.092817466434
271.103033446741
274.643651631649
285.751551887407
385.157059944893
702.648717707635
739.102647059783
5723.14354954467
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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