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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F6]
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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
327
  • 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

1982 (V10)

Data file: Bilateral EDA (BEDA)

Overview

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

Questions and instructions

Categories
Value Category
0
1.80473465759476
2.04887107214887
2.05
2.16954549886023
2.17683321457292
2.43
2.97359453955039
3.04533384708364
3.43802792278625
3.52234840224901
3.79983473004905
4.3049752350779
4.3691054967566
5.35898865151752
5.81845963050831
5.92
6.73401199278687
6.94834316148946
7.2508082493909
7.25136980620646
7.29605316507067
8.44856433132977
9.36043301586095
9.61224481786782
9.75140855357766
9.77
10.3758889524402
10.718127774316
12.3
12.4229102353609
13.7531185190198
13.8818275676424
15.2630231970942
15.7620728503558
15.869267323562
16.7381622995543
17.207638544842
17.5194900706343
18.5642580732616
20.4560200898992
21.1551695282523
23.063828708027
24.3618530348969
25.5704517031221
25.7062926563709
27.4366323432186
27.4416205589271
28.5953882346769
28.8889233637091
29.6466212846813
30.1332831780989
31.0718988326479
33.3553157063851
33.76
37.5786912467395
39.2836664657347
39.3262603372614
42.4070128892805
42.4085387986472
43.7919582550215
48.062855373411
48.1873693013047
56.1290355544592
57.0189110391739
59.5518724156657
60.6
60.9549798871921
61.0362916465732
67.3615736896787
68.5240906575092
70.730091127665
71.0940656220879
75.0008823863838
75.4748785735091
85.188295280417
88.0084972270033
88.5653706320045
88.714416635734
89.269475776267
89.3778690351658
91.4862927567102
93.7222830111466
97.0885893905406
100.911437110103
112.750556260468
112.795616482153
113.131300487608
118.081359242378
119.583248221981
129.359050009407
134.146927678415
140.805031364851
145.201951584655
153.020309584071
155.207932451432
155.288410161305
163.476704095787
189.82090082767
230.81718240058
249.472235515135
270.508101823029
304.47902787461
311.665019371452
320.444321756331
329.031719920357
351.22079191902
379.334024152907
410.467439212895
487.568529865836
516.938583900503
630.362831650478
763.044543761153
775.641708003606
883.514456434247
951.939483474106
12884.6478262342
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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