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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
271
  • 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

1980 (V8)

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
-8.44037423601674
-0.960168107742054
-0.660583451188901
0
0.000732277949718882
0.00146954622653445
0.0258262862876425
0.0265912540471595
0.0305494128902547
0.0434594038642882
0.15248732422044
0.499016595944129
0.540453924714028
0.614875429141351
0.775893356051542
0.790792521863894
0.822629047982398
1.07240817956824
1.34687977003568
1.41763452682309
1.80489874495084
2.36625435485308
2.36796647447543
2.37568464402597
2.49233693877518
2.56644200086816
2.83825135406093
3.29255971933035
3.66718920367726
3.91996142242704
3.93633549490461
4.08296718579575
4.13134317022502
4.14732614588573
4.36206675996958
4.90364897587697
5.08249620343852
5.2838451568842
5.46763008525494
5.61844905350451
5.65578618656391
5.96301484998937
6.28714507123856
6.7940296778487
6.90992113854748
6.91688673851566
7.41142054057725
7.88416318400098
8.46838092216941
8.51297751381685
8.98565371361406
9.79721955688081
10.1534968541838
11.3540083119313
11.5148712479103
13.8612655287514
14.1232206335065
14.6486461499923
15.0370424399376
15.3568754405163
15.4402859975385
16.7565731306423
16.770636140369
16.7869223736886
17.6069858293367
17.7473876721897
17.7504564000741
18.6350981204882
18.6478512397205
18.9920733367903
21.1660185510411
24.5760470898539
27.4291936758952
28.3965367245529
38.2601330819976
40.0566719144045
40.0950953291119
42.8839150868385
45.9989597264648
47.9436462673738
48.1352827829869
49.0419860976585
53.5298543838935
54.4017309737739
54.8010234300642
58.9234680383168
60.8761246830743
63.8400132616949
67.506083509086
70.9106751281061
77.1990234000207
80.2463959253799
81.8922431370088
83.9044877387065
84.1859559389822
85.1362319261883
85.9007575867634
111.63946228268
151.510005075062
168.810853887312
226.455109632152
283.080704062732
295.895725068996
312.186681389129
329.058917084783
406.425492575257
595.037144108708
4840.91617264923
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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