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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
264
  • 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

1976 (V4)

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
-3.6885458609816
-1.29282296769526
-0.337952042743622
-0.140214433459161
0
0.0353990492020297
0.0673066660136858
0.102944423311311
0.122689081083596
0.162732685800025
0.180696527308315
0.180801429855793
0.419127772551777
0.53120126425296
0.554917238870808
0.598699996191741
0.638257315998762
0.734126205759258
0.743878297221601
1.13067941226938
1.14162472956912
1.19707391438058
1.19960774923149
1.27711747300407
1.32328756875045
1.675941647915
1.74273101348416
1.81711987002009
1.99254829635663
2.03209666165659
2.38966401032479
2.48779746002105
2.66095973293596
2.86816393939357
3.10629413231044
3.13770838708931
3.21436476463079
3.261346885807
3.57087779867218
4.4187233364635
4.83756301802102
4.84526448635118
4.90031789495009
5.19570540687015
5.31893938856393
5.33419678429523
5.48527146738626
5.96872160749801
6.29949872283611
6.78614466363719
7.83926278343784
7.92313373363601
8.37177157395624
8.51555213859654
8.98607209193306
9.12675227516474
9.61860497238295
9.77385276564481
9.91783880233312
10.1959249277546
10.7847320731529
11.0754512323345
11.2346981009805
11.5283741441856
12.2536334305829
15.1208845169643
15.2010323933239
16.9504324552121
17.9721631810749
18.5840763390444
18.6320442734577
19.0723448890534
19.4256988352205
20.3599177810979
21.9134828907279
26.2350647441265
27.1149260805295
27.4044231610161
28.1084760690988
28.3139681019166
34.0675259699405
38.4281853732215
38.6806648281353
41.9371193277832
45.2831738794849
47.976069005746
49.7158743149042
50.226134071795
92.2402119042196
96.70605210727
103.12351545925
163.065683957411
224.647473432246
292.940916024768
391.336955470026
2280.16074075738
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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