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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
265
  • 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

1975 (V3)

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
0.0661162545698732
0.0715153806955961
0.0771538663394761
0.0993610098981592
0.102253233120674
0.161041967746334
0.230517459019907
0.27257939877516
0.282830482020375
0.292638464553295
0.371142867241179
0.434993011794398
0.470804133517387
0.491291117646129
0.539488959631614
0.823755360123727
0.926830983408259
0.98441620774738
1.00185408786393
1.12331889909393
1.72414615676245
1.82574102818812
1.95403878299006
2.01707415331154
2.03156533821096
2.03430688181112
2.12654081513009
2.35342590106062
2.44725147667314
2.88881722982821
3.23418909064981
3.23518903218278
3.4653704199044
3.60161264944591
3.64778459754627
3.70468047565801
3.91945092639242
4.27569031715832
4.35387514556795
4.65756358953882
5.20949124380384
5.69020086158891
6.18658918709352
6.22260926128917
6.33093371347081
6.49932833417307
6.72837054632739
6.97380973482905
7.09785831375181
7.30783717374099
7.62817877696628
7.72162742395513
8.27722389710481
10.7969490592793
11.3028965346242
11.5560314422062
12.2221241616908
12.29211471599
12.6991968254341
15.3465245517106
15.5796911152867
15.9160749549909
15.9586152996386
16.5509068507244
16.5544324432673
17.1459720366257
17.5529409932629
19.1904631197732
19.2000901220096
19.5321687904284
21.9125404998077
22.2371038219245
23.8857921441402
24.1776998424737
27.0043748443603
27.7747976255356
28.3298436090625
31.0379849599338
35.1200093330467
37.3949571064144
43.7743948656034
47.376752598314
50.7735448890843
57.2097884416616
63.7166855322492
85.7876050272804
89.837708868607
98.1720769793797
101.64819530013
191.169058001304
275.783737071866
336.203898437058
531.342160001881
576.612979102048
3243.87715754102
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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