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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F27]
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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
297
  • 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

1981 (V9)

Data file: Multilateral grant equivalents used to construct MEDA (MEDA GQ)

Overview

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

Questions and instructions

Categories
Value Category
-1.66506725785468
-0.10648168963645
0
0.119536721524834
0.200737309888125
0.264628930206558
0.415396917811342
0.478868269959192
0.575993884660681
0.762277738288525
0.772147617313981
0.821985812940584
0.972674538085649
1.07675409021683
1.18744362644606
1.6412608218642
1.64775475672466
1.83161416026168
1.93135793097093
2.03874310897154
2.07404551367924
2.16915050218187
2.35305371456333
2.35694897676494
2.58943288726146
2.75176700088295
2.91836078812392
3.05597249772685
3.11360939292411
3.23840188724579
3.43623076781437
3.44146306977314
3.52196610422955
3.81100990477276
3.82963733864486
3.87026070268126
4.11897959270195
4.60556294231823
5.3047017048443
5.64656560943726
6.43277493516507
6.45502421269802
6.97514775622275
8.3631624745297
9.04519934311848
9.3916477034909
9.47741852895885
9.55620981970358
9.62385033127643
9.6245039134147
9.91733935179405
10.1061327817055
10.2287388636459
10.5008905792708
10.5388205221119
11.2464537543168
11.3621964240059
12.4596110691687
12.8548966932614
13.3334775966672
14.0080559178388
14.1578225448251
14.2082947807279
15.3660388189798
17.3187035098349
19.2438313172206
19.6395923790795
20.550159868998
20.5816185840973
20.8984651273143
21.014820536728
22.9955979545786
23.005939166893
23.5998757352688
24.1866842927866
25.2411340163272
26.3906626077231
27.1690390172447
28.8150226938026
30.98428597881
31.6375863815774
32.9141526675839
33.2712542427434
33.8183807486421
34.2514378153332
34.5088551018072
36.1916389219693
36.7406102657699
37.4191178116918
37.8164650656374
38.9022053098527
42.1820334448514
44.5100701481822
47.0483278087144
54.2168609464919
54.2331044629262
56.9188935257079
61.5164146175369
64.0968785374829
68.2323644198309
83.4246905008249
87.4217978411557
92.8786435677049
125.662857954472
216.746501344385
350.396020772428
662.864551527414
3209.86560544354
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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