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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
621
  • 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

1978 (V6)

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
-8.3044190075795
-7.23508714950808
-3.67220287912706
-0.815557153885806
-0.531570994509
0
0.0476550975255793
0.109322202358206
0.246402733858258
0.310764185925704
0.311974540006651
0.521186314057107
0.595265752440131
0.64967520639241
0.696681347042717
1.00034614774718
1.63822528481588
1.73230462984623
1.780374329001
1.99215288542678
2.14390037196442
2.37105321504983
2.44522798661837
2.76713498729952
3.09149608830954
3.45464406578687
3.63312173373903
3.71339511867774
4.32142775770325
4.37146631535745
4.41542860442578
4.45650628248941
4.59267785877283
6.11755274669671
6.36057530614273
7.14300568199115
7.19168335131087
7.59817880634205
7.96078093623582
8.9203450557415
9.30119089846528
9.94724655552412
9.97148002211181
10.4221627515512
11.5195928281957
13.200404916677
14.7035448240836
14.8623123586564
15.936826137197
16.2318381632709
16.2588242876264
16.3819148256103
16.6613268336894
18.1578664108143
18.2672438727507
18.7049974511016
19.0557976051747
19.4477812627981
20.5589349582781
22.3016050969629
22.3496424721109
22.4874292893454
23.7189999093376
24.4811927351733
26.7389614185842
27.0206496436451
27.5899476598908
28.8276388157766
30.4710075684073
32.1171579178585
32.3851652686118
34.5803595104861
34.8037485257798
36.0883522503696
36.2618175745828
39.9011852188461
40.6168888755767
41.8989676855465
48.9858703592405
49.1749503818532
49.7297004717504
51.1304161603378
54.5490205492655
55.2044353309542
55.8355013106456
59.3032260362834
69.4362240328859
73.3098793768357
76.4248015763525
76.9015974966336
77.7064482910351
87.1427414980717
88.2784918485098
91.2875547305529
93.1517077107373
101.211762215908
114.77230205269
137.537752933631
151.961465268943
151.975564820025
215.300544540915
346.521556367799
367.894456477358
558.191440900608
657.995110966525
4923.28962384931
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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