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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
267
  • 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

1979 (V7)

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
-0.828606542750052
-0.507856269742148
0
0.000654473417561251
0.00130473730393246
0.0389295571503422
0.0415992005314107
0.142914578092178
0.201438731329379
0.212005014679804
0.310493963566225
0.417847696391895
0.41984167946134
0.490565064443828
0.583937981485645
0.615541886689311
0.67832876912133
0.96356854281548
1.33313550839188
1.55372794379579
1.99769209473009
2.22452586733574
2.2930288501052
2.43951151646562
2.67714193900642
2.85191353206911
2.88101656775827
2.89097952729336
2.93390971802526
3.00195674291766
3.04320687046455
3.28282755221089
3.34531714637498
3.4124220624752
3.52351619285082
3.79791478417595
4.17836375226097
4.52711589875329
4.56311515868159
5.22613344978779
5.36853925560008
6.04974636065735
6.63769675476684
7.13647175807502
7.29294443766973
8.03002092764721
8.55317165980853
8.75387980330088
8.84049020629163
9.31843730496685
9.3577882542869
9.62688259472116
9.64328564042863
9.96342025903961
9.99664845079232
10.2429936510626
10.7340186814996
11.2648904385091
11.4179289856373
13.4431357756487
14.6590737553812
15.3811528708543
15.941641939448
16.628339113607
17.01592361471
17.6535367177327
18.1210543343473
19.047034677364
19.3562818366257
20.4366053363124
21.7242864420271
23.7440899632132
25.4585639927417
28.2286002637898
29.1199584917403
32.0434284713389
33.5863733631546
33.657175805245
33.8932251947195
41.4110645440186
41.4362403675082
42.3727111748078
45.5109943634786
45.861840729519
47.3782182168098
57.4799442630832
59.3379919951062
60.8224530286653
67.2594047303697
72.1095786730379
73.9570234130005
79.4186737387563
80.9211388885644
81.9606745051032
108.897565038318
166.705712155514
184.417222575674
218.082230361158
225.934083617657
231.661496392158
310.830658946687
450.768568376142
3483.66520921982
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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