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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F5]
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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
315
  • 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

1992 (V20)

Data file: Bilateral grant equivalents used to construct BEDA (BEDA GQ)

Overview

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

Questions and instructions

Categories
Value Category
-168.905786476211
-30.4244910104128
-28.7843949384371
-18.3097959593088
-14.4046003846845
-10.5357186896967
-5.83831618487496
-3.50995771553226
-2.61989543324178
-1.12596861837012
-0.072761513052398
-0.000916555824121785
0
0.059505068427406
0.083547385022314
0.115315980592699
0.14299370291363
0.147507985445712
0.190521063181616
0.215770130452238
0.237052947911267
0.344138469657924
0.564618686352857
0.603796338951802
0.67705898112761
0.919506640636564
0.981093046096729
1.07953137011743
1.3500305754236
1.42617370307731
1.51565831957979
1.62251284660627
1.65357648698202
2.64935065460273
2.90581778222282
3.06740812951918
3.0900169534976
3.18136735774586
3.28616802624374
3.32817823537777
3.79164111956246
3.88704077102349
3.96785575362572
4.28017450475641
4.31615323467933
4.34575766669145
4.41802331593093
4.46097621919659
4.49109838435293
4.58615859241205
4.61160001748006
4.63526055184067
5.43170866178117
5.4426413547479
5.91308581064101
6.02562115483663
6.78381528731696
6.86298145474403
7.13408082576558
7.66168219239057
8.07829807893464
8.17901373628001
8.45911890374281
8.52796329513877
9.12362605284666
9.38544947312202
9.78612402271345
9.95250280818669
10.3611090089326
11.263561105595
11.3677976357114
11.6376034298838
11.7265773825519
12.7726624735427
14.3979928098964
14.8115261939077
14.9090299960846
15.6173157740511
16.4152351336638
16.5192324540264
18.1770468685576
18.3152100006209
18.6007235639001
20.010690582731
21.9473866499732
23.1435858227511
24.7349246577035
28.8386099300545
29.5367523206526
30.2981918258924
30.7350375677396
35.2706010604049
36.637663862624
36.8280197071518
38.1676149889539
42.5123041411
46.0120919598563
46.2508364649497
50.0863338533762
51.3821451762104
64.6127764366405
72.1437939973261
82.1008428250542
102.440574899812
106.528185709716
108.917356492765
118.263738421124
118.712508301328
133.625771300175
137.848143140576
158.484378919758
187.252841040239
187.762912201623
310.771851281535
674.758277239495
884.179359414857
4183.13379265794
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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