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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F14]
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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
611
  • 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: Grant equivalents used to construct EDA (EDA GQ)

Overview

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

Questions and instructions

Categories
Value Category
-1.10309938868656
-0.341220200607262
-0.338009344971971
0
0.00895897937821667
0.0469986049212965
0.119522932563171
0.136090193557219
0.161041967746334
0.184472298810828
0.220680303706088
0.254453292878217
0.293834339813924
0.320180451023997
0.351794151788853
0.388416572214466
0.3973357240385
0.527235127990783
0.69316055195564
0.926909794319426
1.09334734588629
1.12331889909393
1.33354568341003
1.82653915180766
1.92996298321731
2.07802161096646
2.12832536304454
2.35342590106062
2.51979333791974
2.55749423365876
2.7062138780173
3.06599208402019
3.10650252711717
3.60161264944591
3.94116188775586
4.12012399158721
4.97949064446539
5.47181103255372
6.08979024043407
6.3312161765784
6.43193516656205
6.73277058726291
7.09785831375181
7.36435206234809
7.37782960031003
7.48506267722695
7.69482948014441
7.71602396128214
8.18258469235906
8.45762316610555
8.81483228321845
8.87203745872496
9.01164061174576
9.17198026973403
11.9815052476811
12.1361794901042
13.1106731887245
13.6957089140607
14.888243807507
14.908631165578
15.3333992127875
15.5634735468132
15.7965515883375
16.021975892415
16.0711603135822
17.3077646400319
17.7052999959995
19.0008170972898
19.5172893697685
19.837433379008
19.8485722949661
20.1634666287209
20.6391343115659
23.2897106876982
26.2771246062996
27.2991152072319
27.4637525612752
29.2066905162087
29.6975832870233
31.4630295237309
31.6955793724395
33.985163085247
36.1831560426894
38.1839799023162
38.3946009438278
40.9073944032428
42.8718496553631
52.153013912625
54.8763816021681
59.3151627541099
63.2136704168302
69.0848411899922
75.8840828967921
88.5232917891651
94.7575672420337
115.050893957488
271.923884124256
356.058991052305
357.404345628591
614.173351820713
911.225818402093
4130.10911297395
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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