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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
309
  • 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

1977 (V5)

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
-1.18223252924116
-0.575995246157588
-0.344133257581312
-0.196137301304257
-0.0595592425562243
0
0.00659095203040763
0.0657390334054316
0.122847639069322
0.127700031356998
0.15176977224442
0.168117487711553
0.170529997793181
0.181095830431239
0.189758654715757
0.208117428716827
0.342657588419166
0.415405672000632
0.688508400369106
0.722947859884227
0.910000578869809
0.917076629682417
0.996596847410574
1.22698657314964
1.24101859655931
1.51487787863355
1.64855875852423
1.66522965676809
1.84032809933465
1.84275731557483
1.93911922707754
2.02580423158826
2.08777285289123
2.12694709103919
2.12860969536585
2.15799673254072
2.20318843334998
2.34414127757856
2.41687762794039
3.39070732393773
3.94940158245216
4.27009244151727
4.51354508588263
4.58667209832523
4.76019177821984
4.86157946470093
5.21339480553435
5.71592034806204
5.96008351113007
6.21360887310854
6.51871082056596
6.52154979207707
6.66581013468269
6.76660278165205
6.78273600151477
6.99432642361563
7.60752629604473
7.62215055052115
7.70693991219253
7.80718462073347
7.80894115605352
8.69645350836783
8.70585767410138
8.98059365014915
9.1830814483891
9.41245561355833
9.51303431560985
9.78151684586274
11.6168040652193
12.5693626512975
12.6471566655796
13.2299190343261
13.4457156760081
15.4010957672667
15.6341070911528
18.0685526206332
18.8171871356133
19.4745523055147
24.5643212538408
24.8517786482866
26.8369550517462
27.1542697121558
31.8797046098316
32.5942971266489
33.7103264882022
43.1990766685968
45.8828757985991
48.7794997189284
54.9101408084026
55.4497947357161
60.9233545148712
81.8550589833014
84.3584655641671
89.0872554564254
89.7631861251907
117.141853631249
118.586447029489
133.462915491362
179.793593285555
205.21880850421
288.563970078884
294.837007312394
2575.25769534441
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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